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  • 专利说明
  • 权利要求
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    • 专利摘要:
    system, workstation and method. an adaptive imaging system and method including a shape detection system (115,117) coupled to an intervention device (102) for measuring the spatial characteristics of the intervention device on a patient. an image module (130) is configured to receive the spatial features and generate one or more control signals in accordance with the spatial features. an imaging device (110) is configured to reproduce an image of the patient in accordance with the control signals.
    公开号:BR112013009962A2
    申请号:R112013009962-3
    申请日:2011-10-24
    公开日:2021-05-25
    发明作者:Raymond Chan；Jinnan Wang；Adrien Emmanuel Jardins；Luiz Felipe Gutierrez；Maya Ella Barley；Gert Win 't Hooft
    申请人:Koninklijke Philips Electronics N.V.；
    IPC主号:
    专利说明:

    . 1/22 SYSTEM, WORKSTATION AND METHOD This disclosure refers to medical imaging, and more particularly to a diagnostic or interventional control system for optimizing or adapting image characteristics, e.g. image viewing, acquisition frame rate , etc.
    There is a wide range of medical procedures that involve inserting a device into the human body under . X-ray guide.
    These procedures include guiding catheters to perform vascular procedures such as stent insertions, and needles to perform tissue biopsies and ablations.
    X-ray fluoroscopy can be of considerable importance in identifying anatomical repairs at known positions with respect to a target position for the device.
    With X-ray fluoroscopy, clinicians can acquire a single image OR multiple images in rapid succession (eg, as a video). With multiple images in rapid succession, there is a risk that the X-ray exposure to the physician and patient is significantly greater than is necessary for the procedure to be effectively performed.
    This can result from image acquisition performed when: a) the device is not moved over a significant distance with respect to the 1 image resolution; and/or b) the device is moved: 25 predominantly in a direction perpendicular to the plane of 2222 -image -and little. movement. apparent. of device occurs = within the projection image.
    In either case, the use of multiple X-ray images will likely not provide any useful clinical information, but will expose the patient and physician to higher doses of X-rays.
    A patient who goes through a single . procedure may not be at high risk for the harmful effects of X-rays, but for physicians who perform many i 2/22 procedures every day, dose reduction is extremely important and is an issue that many physicians are highly aware of.
    Reducing X-ray exposure is particularly important with modalities such as cinefluoroscopy, where higher doses are used compared to low-dose fluoroscopy.
    During interventional procedures performed on the X-ray fluoroscopy guide, significantly more images that are needed to effectively perform the procedures can be acquired.
    This results in a necessary increase in harmful X-ray exposure to physicians and patients.
    Furthermore, during interventional procedures, image characteristics are typically updated manually by the clinical staff, for example, to try to optimize X-ray gantry angulation, detector height, table location, etc. for optimal visualization of the intervention field and anatomy of interest.
    For magnetic resonance imaging (MRI)-based procedures, reading plans are prescribed by an MRI technologist who operates as a clinical staff.
    These manual adjustments often lead to less than ideal clinical workflows and can result in less than ideal image quality.
    In accordance with the present principles, a system and method for adaptive imaging includes a shape sensing or locating system coupled to an interventional device to measure spatial characteristics of the interventional device or other target of interest in a patient.
    An image acquisition module is configured to receive the spatial features and generate one or more control signals according to the spatial features.
    An imaging device is configured to reproduce an image of the patient according to control signals.
    A workstation includes a processor and memory attached to the processor. The memory stores a shape detection module and an imaging module. The shape detection module is configured to determine the spatial characteristics of an intervention device. The imaging module is configured to adjust an imaging device according to spatial characteristics to provide useful image collection adjustments for a given medical procedure. = "o" A method, in accordance with the present principles, includes detecting the shape of an intervention device to measure the spatial characteristics of the intervention device in a patient; generating one or more control signals according to the spatial characteristics ; And adjust an imaging device to reproduce the patient's image according to the control signals.
    These and other objects, functions and advantages of the present disclosure will become apparent from the following detailed description of illustrative embodiments thereof, which should be read in connection with the accompanying drawings.
    This disclosure will set forth the following description of preferred embodiments in detail with reference to the following figures, in which: Figure 1 is a block diagram/flow chart showing an adaptive imaging system according to an illustrative embodiment; Figure 2 is a diagram showing a magnetic resonance imaging system with adaptive imaging in the form of a modified prescriptive assessment according to an illustrative embodiment; Figure 3 is a block diagram/flowchart showing an image acquisition module to decide whether to acquire a new image or not according to an embodiment
    | 4/22' illustrative; Figure 4 is a block diagram/flowchart showing an image having a marker generated to replace the need to acquire a new image according to an illustrative embodiment; Figure 5 is a flowchart showing steps for adaptive imaging in accordance with an illustrative embodiment of the present invention. . 7 - The present principles provide systems and methods for real-time shape information derived from a medical device or other target tracked in vivo, for example, with a fiber-optic shape detection system or with an electromagnetic orientation measurement system. or position or other similar location platform. The shape information can be used to dynamically adapt a frame rate or other image feature or functionality of an imaging system, for example an X-ray (fluoroscopic) system. The frame rate is adapted, for example, to reduce X-ray exposure of physicians and patients, while providing an accurate view of a device, for example, in a minimally shortened view by automatically positioning a gantry based on location information derived from the tracked target. The frame rate can be adapted to -25 to compensate between temporal and spatial resolution in the case of “magnetic resonance (MR) image acquisition and reconstruction. If the device is moved only a small distance as a previous fluoroscopy image has been acquired, a new fluoroscopy image may not be acquired, but a marker indicating a new shape and/or ! Device location can be coated on the anterior fluoroscopy image. Motion data measured from a
    For example, in one embodiment, in X-ray interventional systems, a tracked interventional device, such as a coronary guidewire inserted into the vascular system, provides live shape/position/orientation data over a segment and thus allows the automatic table adjustments (balance/height) or C-arm grantry angulations to keep the segment optimally visualized within the X-ray field of view. In one example, these adjustments automatically . ensure that the coronary vessel and guidewire are kept in EP a minimally shortened view as a coronary intervention is being performed. Automated prescribing of imaging system features and streamlined clinical workflow are achieved while optimizing the quality of acquired images.
    The elements described in the figures can be implemented in various hardware combinations and provide functions that can be combined in a single element or several elements. It is to be understood that the present invention will be described in terms of medical instruments; however, the teachings of the present invention are much broader and are applicable to any instruments "employed in complex biological or mechanical tracking or analysis systems. In particular, the present principles are applicable to internal screening procedures of biological systems, procedures in all areas of the body such as the lungs, gastrointestinal tract, excretory organs, blood vessels, etc. The elements described in the figures can be implemented in various combinations of hardware and software and provide functions that can be combined in a single element or in several elements.
    The functions of the various elements shown in the figures can be provided through the use of dedicated hardware, as well as hardware that can run the software in association with the appropriate software.
    When provided by one processor, the functions may be provided by a single dedicated processor, by a single shared processor, or by a plurality of individual processors, some of which may be shared.
    In addition, the explicit use of the term “processor” or “controller” shall not be construed to refer exclusively to hardware that can run the software, and may by implication include, without limitation, digital signal processor (“DSP”) hardware. ”), read-only memory (“ROM”) for storing the software, random access memory (“RAM”), non-volatile storage, etc.
    Furthermore, all statements herein reciting the principles, aspects, and embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof.
    Additionally, such equivalents are intended to include currently known equivalents as well as future-developed equivalents (ie any developed —* elements that perform the same function, regardless of structure). Thus, for example, it should be noted by those skilled in the art that the block diagrams presented here represent "conceptual views of the illustrative system components and/or circuitry" that embody the principles of the invention.
    Similarly, it must ne ... be — noted — that any flowcharts and the like represent various processes that can be substantially represented on the computer-readable storage medium and thus executed by a computer or processor, whether or not such computer or processor is explicitly shown .
    In addition, embodiments of the present invention may take the form of a computer program product ACCESSIBLE —from—a—means—usable—by—computer—or from——
    computer-readable storage that provides program code for use in or in connection with a computer or any instruction execution system. For purposes of this description, a computer-usable or computer-readable storage medium may be any apparatus that may include, store, communicate, propagate, or transport the program for use in or in connection with the instruction execution system, apparatus, or device. The medium can be an electronic, magnetic, optical, electromagnetic, infrared or semiconductor system (or apparatus or device) or a propagation medium. Examples of a computer-readable medium include a semiconductor or solid-state memory, magnetic tape, a removable computer floppy disk, random access memory (RAM), read-only memory (ROM), a magnetic hard disk, and an optical disk. . Current examples of optical discs include compact disc - read-only memory (CD-ROM), compact disc - read/write (CD-R/W), and DVD.
    With the arrival of robust, real-time mechanisms for the integrated location of medical instruments within an intervention setting, for example with fiber shape detection or new generation electromagnetic tracking systems, information about shape and/or the location of a device to a processor is provided for . 25 automatically optimize the rate at which fluoroscopic images are acquired during interventions. Instrument tracking can be performed with fiber optic-based detection of voltages that can be integrated along a length for local shape estimation. Fiber optic based geometry measurements will be described in accordance with the present principles for at least the following reasons. Measurements based on fiber ——————4ethics—are—immune—to——electromagnetic interference—and do not require electromagnetic emissions.
    Related sensors are passive and therefore intrinsically safe.
    The capability of multiplexing sensors exists in a sensor array.
    The possibility of sensing various parameters (voltage, temperature, pressure, etc.) and distributed sensing is provided.
    The sensors have high sensitivity (eg up to nanovoltages when interferometry is used in optimal interrogation). Optical fibers are small, light, . ideal for minimally invasive applications, insensitive to variation in signal amplitude (eg when Bragg fiber sensors are employed with wavelength detection). Fiber optic based shape detection technology offers high accuracy and high precision localization at high space-time resolution along the length of the fiber.
    Given the light weight, elongated form factor of optical fiber and its compact cross-sectional footprint, this fiber technology fits well within the present principles medical instrument although other technologies may be employed.
    For example, tracking can also be performed with electromagnetic (EM) tracking systems that are robust in confusing conductive structures in the intervention environment.
    Ú In one embodiment, control of the rate at which images are acquired is provided by tracking the movement of the intervention device in real time and acquiring images only when there is significant movement of the device in the image plane.
    This problem of automatic frame rate adjustment is inadequately addressed by the image alone.
    If image processing was used to track the motion characteristics of a device, the frame rate could be reduced to ————— . -match -an—instrument—-with—-movement—slow .— However,
    at a lower sample rate, temporal aliasing could occur when the device starts moving faster, leading to lag and lack of representation of device motion until the frame rate acquisition is raised again. Independent motion tracking by fiber optic based detection or new generation EM measurements can address these problems.
    ' The optimal positioning of the reading planes of — image acquisition e. angulations is necessary for accurate monitoring of intervention procedures. With the arrival of robust real-time mechanisms for the integrated location of medical instruments within an interventional setting such as fiber shape detection or new generation electromagnetic tracking systems, measured tracking data is coupled into a control loop. feedback with an image acquisition system to allow automated manipulation of the | features of the imaging system to optimize reading during interventions. Tracking of the new generation instrument can be performed with fiber optic based detection of voltages which can be integrated over a length for site shape estimation. Instrument shape and location data can be streamed live to the imaging system console for automation and/or optimization of readout characteristics.
    E - Now with reference to the drawings whose like numerals represent the same or similar elements and initially to figure 1, an adaptive imaging system 100 receptive to the feedback of the intervention instrument is illustratively shown. System 100 includes a medical device or tracked instrument 102 used during an interventional procedure within: a TA II individual the instrument -ro2- can—inlude—a—catheter, -7 thread, needle
    - 11/22 or other intervention device.
    The instrument 102 may include a shape detection or location system 104. The shape detection system 104 tracks measurements of the shape, position, and/or orientation of the instrument.
    Shape sensing system 104 may include a fiber optic shape sensing system (e.g., with Fiber.Bragg Gratings or Rayleigh scatterers), an EM, Δ tracking system, or other tracking system. . If the fiber optic system is employed as the shape detection system 104, an optical source 106 is employed for lighting the shape detection fiber.
    An optical interrogation unit 108 is employed to detect light returning from all fibers.
    This allows the determination of stresses or other parameters, which will be used to interpret the shape, orientation, etc. of the intervention device 102. The light signals will be used as feedback to make adjustments to others | systems, such as imaging systems 110. System 100 may include a workstation or console 112, which provides a plurality of tools and functions for performing a procedure in accordance with the present principles.
    The 112 BR workstation or console can provide surgical tools, controls, power supplies, interfaces, etc.
    In one particular achievement. 25, workstation 112 includes a processor 114, memory 116, screen 118, and user interface 120. Processor 114 implements a real-time optical detection module 115 to detect shape, position, orientation of the fiber of the fiber groups.
    In an alternative embodiment, the shape detection system 104 employs electromagnetic (EM) tracking. In this embodiment, an electromagnetic field generator TO Tm) and the control unit 122 are employed: — Uma———-— —
    | 12/22 EM coil(s) 124 is/are embedded within the tracked medical instrument 102 in a plurality of locations. It should be understood that EM tracking and fiber optic shape detection can be employed separately or together. Other shape detection devices and systems may also be employed. Processor 114 implements a real-time EM tracking and detection module 117 to detect the shape, position, orientation of intervention instruments 102. Processor 114 and modules 115 and/or 117 detect the shape of the instrument, position, and orientation Ê í using optical and/or EM tracking signals (eg, EM field distortion compensation). Alternative tracking systems based on other physical principles, e.g. acoustic, infrared, imaging & image processing, etc. they can also be used with trace elements that can be incorporated into medical instruments and used in vivo. The imaging system 110 is employed to monitor a procedure, guide an intervention, etc. The imaging system 110 may include a fluoroscopy system, an MRI system, a computed tomography system, etc. An image optimization program or module 130 is stored in memory 116 or may be stored in the imaging system 110. The image optimization program 130 implements real-time methods to derive the "optimal characteristics of the imaging system with based on real-time instrument position, orientation, and shape information One or more programmable effectors/actuators 134 are receptive to signals sent from processor 114 as determined by the image optimization program
    130. Actuators 134 modify imaging system attributes or imaging system characteristics based on real-time position, orientation, shape and feedback information from the instrument. Data connection 136 is coupled to processor 114 and carries control signals to an imaging system control unit 138. Control signals are generated based on the interpretations of the shape sensing system of instrument 104. shape detection system 104 are interpreted by modules 115 and/or 117, and the results are applied to the optimizing program. image 130 which optimizes the characteristics of the imaging system 110. Control unit 138 and actuators 134 are adjusted to change the configuration of the imaging device to optimize image collection. For example, the 134 actuators can adjust gantry angle, MR read prescription, exposure time, frame rate, etc. Shape detection system 104 provides real-time shape, location data, or information derived from this data (e.g., scan planes perpendicular to fiber optic long axis) to processor 114 for automated adaptive control of imaging system geometry. or other imaging system attributes. This may include X-ray source exposure, frame rate, image icons or screens, video tools, or other imaging system features.
    - 25 In one embodiment, X-ray guided interventions can be simplified by coupling the characteristics of the X-ray system, e.g. table position, gantry angulation, etc., with the shape detection or tracking system 104. information derived from the tracking system 104 is employed for optimal visualization of a tracked medical instrument, e.g. a tracked coronary guidewire or intravenous ultrasound (IVUS) catheter within an anatomy of interest is dynamically tracked by the X-ray detector in a “follow-up” mode that allows viewing of the coronary with minimal shortening at any given time. Referring to Figure 2 with continued reference to 1, an MRI embodiment is illustratively shown. The tracking in this case will be with optical fiber detection (104) since the electromagnetic tracking systems of the new generation do not work precisely in the presence of an RM magnet R in an RM reader 202. External tracking is attractive since MRI-based tracking needs additional interleaving of pulse location sequences that represent additional acquisition and processing suspension. This reduces the frame rates available for the intervention guide.
    Tracked data, obtained from the instrument 102 being manipulated, is automatically fed back to the workstation 112 which computes new reading prescriptions 210 based on the shape of the intervention instrument.
    102. Reading prescriptions 210 focus on imaging operations on a particular part or region of interest of a patient 230. Possible reading prescriptions may include automated non-linear reading along the long axis of instrument 102 (e.g., a coronary catheter or guidewire), potentially for volumetric coronary imaging or - 25 flat imaging of “live” AND automated intervention acquisition that dynamically follows the reference frame mm of the instrument tip. In other embodiments, reading prescriptions may involve additional resolution or viewing angles for a particular point of interest in feedback from shape detection system 104. For example, device 102 includes a catheter with a tip providing a frame of reference. An automated reading prescription is determined, for example, for a non-rectilinear reading plane acquisition using the catheter tip as a reference point or for reading plane of the live intervention acquisition with respect to the position of the catheter tip. Other benefits include automated reading prescriptions of non-linear trajectories by reproducing the image of anatomical structures that are parallel to an axis of the instrument 102, allowing the reduction of partial volume effects (e.g., image la of the vessel wall with MRI when used in conjunction with a screened coronary Es guidewire).
    Again with reference to Figure 1, in the case where several instruments are tracked in the same procedure, the image optimization program 130 derives the characteristics of the X-ray image that are ideal for a) visualizing one of the tracked instruments (102), OR b) view two or more of the tracked instruments. The metric used for optimization in case a) could differ from those used in case b). For example, in case b), the metric used may include optimizations to visualize the relationships between the positions of two or more of the tracked instruments.
    The output of shape determination modules 115 and/or 117 may include error estimates associated with shape parameters of traced instrument(s) 102.
    - 25 In this case, the rate of change of image features “could become dependent on the magnitudes of these errors. For example, if the shape of the instrument changes rapidly and large errors are involved in measuring the shape, the Imaging System 110 would not respond (or respond very slowly) until the errors are significantly reduced in magnitude.
    In the case where multiple imaging systems 110 are used simultaneously for multimodality guidance (e.g. a combination of X-rays, ultrasound (US), CT, MRI, etc.), the image optimization program 130 derives the image characteristics that are ideal for viewing with one of the imaging systems 110, or with two or more of the imaging systems 110. The metrics used for optimizing one system could differ from those used for optimizing multiple imaging systems.
    It is The present realizations belong to all the lena modalities of the image. which read parameters or system attributes need to be adjusted to monitor the “intervention.
    Thus, any clinical procedures performed on the imaging guide in which the tracking data | of the instruments used can still improve imaging performance or clinical workflow.
    Modules 115 and/or 117 sense the shape, position and orientation of tracked instrument 102. Modules 115 and/or | 117 implement real-time algorithms for measurements | shape, position, and orientation of the instrument.
    An image acquisition program or module 140 is included to optimize a rate at which X-ray images are acquired based on motion, position, orientation, etc. of intervention device 102. Module 140 may be part of module 130: or it may be a separate module (as described in Figure 1). Data is provided between the shape detection system 104 and the image acquisition module 140 so that information about the shape and location of the device 102 can be provided to the image acquisition module 140 in real time. to optimize a rate at which X-ray images are acquired.
    The image acquisition module 140 generates signals that are sent through the data connection 136 to the control unit 138 of the image system 110. The rate of image acquisition is controlled according to the feedback of the position, movement and utilization of the image.
    | 17/22 intervention device 102.
    Referring to Figure 3 with continued reference to Figure 1, a block diagram shows a block diagram/flowchart for image acquisition module 140 according to an illustrative embodiment. Intervention device 102 provides E-shape detection signals to modules 115 and/or 117 which derive information about the shape and/or location of intervention device 102. “In block 302, 6 image acquisition module 140 determines — : whether another fluoroscopy image (or another image) needs to be acquired. A determination is made based on different criteria as to whether a new image is acquired at block 305 or not at block 307. In one embodiment, the determination includes any movement of the intervention device at block 304. If the device then moves a new one. image is acquired. Real-time information about the shape and/or location of intervention device 102 is derived independently of image information provided by imaging system 110. In this embodiment, a binary decision is made by image acquisition module 140. device has moved significantly since the previous fluoroscopy image was acquired, a new 'fluoroscopy image is acquired. Otherwise, a fluoroscopy image is not acquired. 25 In another embodiment, a further determination of how much the intervention device 102 has moved is made at 1 block 306. If this movement exceeds a threshold then a new image is acquired. Otherwise, no new images are acquired. In yet another embodiment, a type of movement is determined at block 310. If the type of movement, e.g., a compound bending, cumulative displacement, rotation, tilting, etc., is achieved by the intervention device 102 then a new image is acquired. Otherwise, no new images are acquired. In yet another embodiment, the image acquisition or acquisition rate can be changed based on the status, usage, or operation of the intervention device at block 308. For example, if the intervention device is an ablation device, the rate of acquisition can be changed at the beginning of ablation.
    In one example, if the device 102 is moved i" — only a small distance since the previous image of Ú fluoroscopy "was acquired (with the-definition of "small distance" set based on the physician's preferences), a new image fluoroscopy is not acquired (block 307), but a marker indicating a new shape and/or location of device 102 is coated onto the previous fluoroscopy image at block 312.
    Referring to Figure 4, a diagram shows an example of a screen 402 produced with markers 404 that indicate a new shape and/or location of the device 102. The image of a flexible device (eg, a catheter) 102 as acquired by fluoroscopy is lined with circles (markers 404) that indicate updates of the location of a device tip obtained from the shape detection system 104. A dashed circle 406 indicates the most recent location of the device tip. The circles (404) are provided as updates on the screen 402 without the . 25 acquisition of new fluoroscopy images. The diameter of the circle could indicate positional uncertainty (eg Vs error). In this example screen 402, only one tip location is shown, but other screens could be provided to indicate additional information obtained from the shape detection system 104 (e.g., the shape of the device).
    Again with reference to Figure 3, at block 314, another embodiment employs frames of computational processing / image modeling based on frames |
    : 19/22 acquired previews, and a measured shape deformation of a medical instrument from fiber optic-based or next-generation shape detection EM tracking. The measured motion data from instrument 102 represents a change | dominant within the intervention workspace and can be used with the data from the previous image frame to compute a new image with the instrument characteristics correctly represented within it. It is . This approach can be used to achieve high frame rate interpolation or mm extrapolation from low frame rate (low dose) X-ray (or CT) acquisitions. An image intervention device model is progressively moved to avoid the need for further image acquisitions. This can reduce radiation exposure. In another embodiment, a CT system (or other system) is employed to track the instrument at the location of a fluoroscopy system. With a CT system, X-ray exposure is generally greater than with a fluoroscopy system, so the problem of reducing X-ray exposure could be more important. In yet another embodiment, SNR of exchanges for RM, . spatial resolution, and temporal resolution. Using a tracked instrument 102 based on the rapid detection of Es 25 "form by optical fiber, temporal information about the change in image characteristics during an intervention can be obtained without suspension of the MRI tracking pulse sequences. independently on instrument motion can be entered back into an MRI pulse sequence acquisition to automatically adapt the sequences to increase the SNR reading or spatial resolution during time intervals where little change in instrument motion
    REED is present (and vice versa). This may result in less image time and/or improved resolution under particular conditions (eg low or no device movement).
    After the image acquisition module 140 has determined whether to acquire a new image or not, an appropriate control signal or signals are generated and output to the image devices (110) at block 320. The device or devices. or are controlled to acquire new images Or : not correctly.
    With reference to figure 5, a diagram in | block/flowchart is shown describing a system/method for adaptive imaging in accordance with the present principles.
    At block 502, shape detection of an intervention device is performed to measure the spatial characteristics of the intervention device on a patient. Shape detection may include fiber optic based detection method, electromagnetic detection, other shape detection method or combinations thereof. At block 504, an OR | 20 more control signals are generated according to the spatial characteristics. Control signals are generated using the spatial features provided by “the . shape detection. In one embodiment, at block 506, a control signal is generated to acquire an image based on: at least one of: intervention device movement, intervention device movement beyond a threshold amount, and a type of movement of the intervention device. At block 508, a marking image can be generated according to the spatial characteristics to indicate an updated position of the intervention device on a screen. At block 510, a model image of the intervention device can be generated according to the spatial characteristics to indicate an updated position of the intervention device on a screen.
    Blocks 508 and 510 eliminate or reduce an image acquisition rate as the motion intervention device update is artificially performed on a digital image.
    At block 512, an imaging device or imaging devices is set to reproduce the patient's image in accordance with the control signals.
    Thus, a : B — shape, position, orientation, status, etc. of the intervention device are used to determine the settings, configuration, exposure time/rate, pulse rate of the imaging device, etc.
    For example, the imaging device may include an X-ray exposure device (device — fluoroscopic, CT device, etc.). The imaging device can be adjusted by modifying a patient's position, an X-ray source position, an exposure time, etc. at block 514. The imaging device may be guided according to a reading prescription so that the reading prescription is modified according to spatial characteristics at block 516. This is particularly useful with MRI scans.
    At block 520, the imaging device can be adjusted by controlling a radiation exposure frame rate of the imaging device using the -25 control signals based on spatial characteristics.
    At arrow block 522, a procedure. Operational is accomplished using —— the adaptive feedback image as needed in accordance with the present principles.
    When interpreting the appended claims, it should be understood that: a) the word “comprising” does not exclude the presence of other elements or actions of those listed in a given claim;
    b) the word “one” or “one” followed by an element | does not exclude the presence of a plurality of such elements; c) any reference marks in the claims do not limit their scope;
    d) multiple “means” may be presented by the same item or hardware or software implemented by the structure or function; and | e) no specific sequence of actions is intended to be required unless specifically stated. 2' Having the preferred embodiments described for the OS systems and methods for adaptive imaging and frame rate optimization based on real-time shape detection of instruments physicians (which are intended to be illustrative and not limiting), it is noted that modifications and variations may be made by those skilled in the art in the above teachings.
    Thus, it is understood that changes may be made to particular embodiments of the disclosed disclosure which are within the scope of the disclosed embodiments herein as described by the appended claims.
    Thus, having described the details and particularity required by the patent laws, what is claimed and desired protected by the Letters Patent is . set out in the appended claims.
    权利要求:
    Claims (24)
    [1]
    1. SYSTEM, characterized in that it comprises: a shape detection or location system (115, 117) coupled to an intervention device (102) | 5 for measuring the spatial characteristics of the intervention device on a patient; | : an image module (130) configured to receive | i the spatial features and generate one or more | . control according to spatial characteristics; and at least one imaging device (110) configured to reproduce the patient's image accordingly | with the control signals. |
    [2]
    2. SYSTEM according to claim 1, characterized in that the at least one imaging device (110) includes an X-ray exposure device and the control signal controls at least one of the | patient, a position of an X-ray source and an exposure time.
    [3]
    3. SYSTEM, according to claim 1, characterized in that it additionally comprises an image acquisition module (140) coupled to the image module (130) that determines when an image will be acquired based on the . less than one of: intervening device movement, intervening device movement beyond a limit amount and a type of intervening device movement. to retain
    [4]
    4. SYSTEM, according to claim 1, characterized in that it further comprises a marking image (404) generated by an image acquisition module (140) according to the spatial characteristics to indicate an updated position of the intervention device in a screen.
    [5]
    5. SYSTEM, according to claim 1, characterized in that it further comprises a model image of the intervention device generated by an image acquisition module (140) according to the spatial characteristics to indicate an updated position of the device intervention on a screen.
    [6]
    A SYSTEM according to claim 1, characterized in that the shape detection or location system (104) includes at least one of a fiber optic based shape detection system and an EEN detection system. -- "electromagnetic... It's = .
    [7]
    7. SYSTEM according to claim 1, characterized in that at least one imaging device (110) is guided by a reading prescription stored in the memory and the reading prescription is modified according to spatial characteristics.
    [8]
    8. SYSTEM according to claim 1, characterized in that it further comprises an image acquisition module (140) which controls a radiation exposure frame rate of the at least one imaging device based on spatial characteristics.
    [9]
    9. WORKSTATION, characterized in that it comprises: a processor (114); and a memory (116) coupled to the processor, the memory storing a shape detection module (115, 117). 25 and an imaging module (140), bs eg the shape detection module being configured to determine the spatial characteristics of an intervening device (102), and the imaging module being configured to adjust an imaging device (110) according to spatial characteristics to provide useful image collection settings for a given medical procedure.
    [10]
    A WORKSTATION as claimed in claim 9, characterized in that the imaging device (110) includes an X-ray exposure device and enhanced images are provided by selecting at least one of a patient's position, a position of an X-ray source and an exposure time.
    [11]
    11. WORKSTATION, according to claim 9, characterized in that it additionally comprises an image acquisition module (130) configured to: determine when an image will be acquired based on at least one of the: movement of the intervention device, intervention device movement beyond a threshold amount and intervention device movement type.
    [12]
    12. WORKSTATION, according to claim 9, characterized in that it additionally comprises a screen (118) configured to display images; and a marker image (404) generated by an image acquisition module (140) in accordance with the spatial characteristics to indicate an updated position of the intervention device on the screen.
    [13]
    13. WORKSTATION, according to claim 9, characterized in that it additionally comprises a screen (118) configured to display images; and a model image of the intervention device generated by an image acquisition module (140) in accordance with the characteristics. 25 spacers to indicate an updated device position - -—- of intervention on the screen. . - - eba baebretateebras
    [14]
    A WORKSTATION according to claim 9, characterized in that the shape sensing system (115, 117) includes at least one of a fiber optic based shape sensing system and an electromagnetic sensing system.
    [15]
    15. WORKSTATION, according to claim 9, characterized in that the imaging device
    ' 4/5 (110) is guided by a reading prescription stored in memory and the reading prescription is modified according to spatial characteristics.
    [16]
    A WORKSTATION as claimed in claim 9, further comprising an image acquisition module (140) configured to control a radiation exposure frame rate of the imaging device based on spatial characteristics. . -
    [17]
    17. METHOD, -characterized by comprising: T ' - shape detection (502) of an intervention device to measure the spatial characteristics of the | intervention device on a patient; generating (504) one or more control signals in accordance with spatial characteristics; and adjusting (512) an imaging device to reproduce the patient's image in accordance with the control signals.
    [18]
    The method of claim 17, wherein the imaging device includes an X-ray exposure device, and adjustment (512) of the imaging device includes adjustment (514) of at least one of a patient's position. , a position of an X-ray source and an exposure time. i
    [19]
    19. METHOD as claimed in claim 17; 25 characterized in that generating (504) one or more ad dei bula [control] signals includes generating (506) a control signal to acquire an image based on at least one of: intervention device movement, intervention device movement in addition to a threshold amount and a movement type of the intervening device.
    [20]
    20. METHOD, according to claim 17, characterized in that generating (504) includes generating (508) a marking image according to the spatial characteristics
    5/5 | to indicate an updated position of the intervention device on a screen.
    [21]
    21. METHOD, according to claim 17, characterized in that generating (504) includes generating (510) a model image of the intervention device according to the spatial characteristics to indicate an updated position of the intervention device on a screen.
    [22]
    The method of claim 17, wherein the shape detection (115, 117) includes at least one of a fiber optic based shape detection system and an electromagnetic detection system.
    [23]
    23. METHOD, according to claim 17, characterized in that adjusting (512) includes guiding (516) the imaging device by a reading prescription so that the reading prescription is modified according to spatial characteristics.
    [24]
    The method of claim 17, wherein adjusting an imaging device includes controlling (520) a radiation exposure frame rate of the imaging device using control signals based on spatial characteristics.
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    同族专利:
    公开号 | 公开日
    US20130216025A1|2013-08-22|
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    EP2632384A1|2013-09-04|
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    法律状态:
    2021-06-08| B06F| Objections, documents and/or translations needed after an examination request according [chapter 6.6 patent gazette]|
    2021-06-22| B25D| Requested change of name of applicant approved|Owner name: KONINKLIJKE PHILIPS N.V. (NL) |
    2021-07-06| B06U| Preliminary requirement: requests with searches performed by other patent offices: procedure suspended [chapter 6.21 patent gazette]|
    2021-07-13| B25G| Requested change of headquarter approved|Owner name: KONINKLIJKE PHILIPS N.V. (NL) |
    2021-10-19| B11B| Dismissal acc. art. 36, par 1 of ipl - no reply within 90 days to fullfil the necessary requirements|
    优先权:
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    US40703410P| true| 2010-10-27|2010-10-27|
    US61/407,034|2010-10-27|
    PCT/IB2011/054728|WO2012056386A1|2010-10-27|2011-10-24|Adaptive imaging and frame rate optimizing based on real-time shape sensing of medical instruments|
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