专利摘要:
A method of functional imaging of the brain, comprising the following steps: (a) imaging a brain by ultrasound imaging, to obtain a vascular image to be studied (IVO), (b) by pattern recognition, automatically comparing the vascular image to be studied (IVO) with a cerebrovascular atlas (VA) and thus the vascular image to be studied (IVO) is located in the cerebrovascular atlas (VA), (c) a functional brain atlas (AF) corresponding to the said atlas cerebrovascular (AV) and comprising functional brain areas (1c) identified in this cerebrovascular atlas (AV), so as to identify functional brain areas (1c) on the vascular image to be studied (IVO).
公开号:FR3023156A1
申请号:FR1456301
申请日:2014-07-02
公开日:2016-01-08
发明作者:Mickael Tanter;Jean-Luc Gennisson;Thomas Deffieux;Mathieu Pernot
申请人:Centre National de la Recherche Scientifique CNRS;Institut National de la Sante et de la Recherche Medicale INSERM;
IPC主号:
专利说明:

[0001] Method and device for functional imaging of the brain FIELD OF THE INVENTION The present invention relates to methods and devices for functional imaging of the brain. BACKGROUND OF THE INVENTION Brain functional imaging involves imaging transient changes in an area of the brain related to neuronal activity in the animal or human being. Areas of the brain corresponding to different specific functions (eg movement of certain limbs, use of certain sensory sensors, emotions, memory, etc.) are listed in known functional anatomic atlases, corresponding respectively to various animal species or to human being (for example the "Paxinos" atlas), and cerebral functional imaging makes it possible to identify and measure the neuronal activity in some of these functional areas, in correspondence with a certain activity of the man or animal on which he is practiced functional imaging. Some functional brain imaging techniques are based on the measurement of electrical currents (EEG) or magnetic fields (MEG) created by neurons. These techniques have a very limited spatial resolution because of the complexity of the inverse problem to solve to find the position of the sources of electrical activity. Other techniques for imaging these functional changes are based on neurovascular coupling: when the neurons have strong activity in an area of the brain, a glucose supply is needed in that area. For this, the vascular flow increases in this precise zone. By imaging the vascular flows in the brain, it can be deduced which functional areas are activated in the functional atlas of the human or animal whose brain is imaged. Several techniques can be used to image these changes in blood flow: - Functional MRI (also known as "fMRI") which images the change in oxygenation linked to a change in blood flow, - Nuclear Imaging (PET) which image the glucose fixation provided by blood flow, and ultrasound functional imaging. In fMRI, the identification of the activated functional zone is easy, since the MRI images are of very good quality and make it possible to locate quite easily the anatomy and therefore the functional area of the activated brain. The functional imaging is then performed and superimposed on an anatomical image made by the fMRI machine before the acquisition of the functional image. However, this technology has many disadvantages: fMRI machines are very expensive and cumbersome, and offers a good spatial resolution only at the cost of a significant decrease in the temporal resolution, which does not make it possible to image transient phenomena in the brain (epileptic seizure for example).
[0002] PET has a very poor spatial resolution. It gives interesting functional information, but once the activated area is located it is not possible to know which anatomical or functional area of the brain it corresponds to, so it is necessary to combine a PET imaging machine. with an MRI machine or a CT scanner to obtain a usable result. Such an imaging set is, however, extremely expensive. Ultrasound functional imaging is based on ultra-sensitive imaging of blood flow (Macé et al., IEEE Trans Ultrasound Ferroelectr Freq Control, 2013 Mar; 60 (3): 492-506), whose variation over time gives access to the activated functional zones (Macé et al., "Functional ultrasound imaging of the brain", Nature Methods, 8, 662-664, 2011). Ultrasound functional imaging makes it possible to obtain, at relatively low cost, an extremely precise vascular image of the brain and the location of the activated zones on this vascular image. A difficulty, however, is to be able to match the vascular image with an anatomical image for locating the functional areas. Indeed, the anatomical image that can be acquired by ultrasound ultrasound functional imaging device, is too low quality to identify the functional areas imaged. Therefore, only an expert operator is able to locate functional areas imaged in ultrasound functional imaging: he must identify with the eye in the vascular image, global structures of the brain that allow him to position the image in the image. brain, then try to find out where the functional area of interest is with an atlas. SUMMARY OF THE INVENTION The present invention is intended to overcome these disadvantages. For this purpose, the invention provides a method of ultrasonically imaging the brain, comprising the steps of: (a) a vascular imaging step in which a brain of a human or animal subject is imaged by ultrasound imaging, to obtain a vascular image to be studied, said subject belonging to a certain class of subjects, (b) a registration step, during which, by shape recognition, one automatically compares at least a part of the vascular image to be studied with a cerebral vascular atlas corresponding to said class of subjects, and thus the vascular image to be studied is located in the cerebrovascular atlas, (c) an identification step during which a functional atlas is used brain corresponding to said cerebral vascular atlas and comprising functional brain areas identified in this cerebral vascular atlas, so that at least one zone is identified to function It is cerebral on the vascular image to be studied. The aforementioned atlases (cerebral functional atlas in correspondence with the cerebrovascular atlas thus make it possible to automatically identify, by form recognition, which functional brain areas are visible on the vascular image to be studied.) Identification of the functional areas of the brain visualized This can be done easily and quickly, even by a non-expert user.The functional and vascular atlases corresponding to the different classes of subjects can be made in advance and available in a library of atlas stored on a computer. for example, to correspond to one or more criteria chosen in particular from among species, sex, age, weight, etc. In various embodiments of the method according to the invention, it may be possible to make use of one and / or following provisions 30 - during the locating step (b), one matches part of the cerebrovascular atlas with the vascular image to be studied, and during the identification step, a map of 35 functional zones corresponding to said part of the cerebrovascular atlas is determined, and the vascular image to be studied with said map of functional areas; during the locating step, a geometric deformation is determined which makes it possible to pass from said at least part of the cerebral vascular atlas to the vascular image to be studied, and during the identification step, determines the functional map of the vascular image to be studied by applying this geometrical deformation to a part of the cerebral functional atlas corresponding to that part of the cerebral vascular atlas which corresponds to the vascular image to be studied; in the locating step (b), said pattern recognition is performed by correlation between the vascular image to be studied and the cerebrovascular atlas; the vascular image to be studied is representative of the blood flows in at least a part of the brain; the vascular image to be studied comprises at least one hemodynamic information chosen from: cerebral vascular volume (see Macé et al., "Functional ultrasound imaging of the brain: theory and basic principles", IEEE Trans Ultrasound Ferroelectr Freq Control, Mar. 2013 60 (3): 492-506), power Doppler, blood flow velocity, color Doppler, a representative value of circulatory resistance (Pourcelot index or other) - functional reference vascular mapping is a three-dimensional mapping, for example it may comprise a plurality of brain sections in successive planes, the cerebrovascular atlas contains data from an imagery chosen from: ultrasound imaging, CT angiography, MRI, CT scanner - the method further comprises, between the imaging step (a) and the locating step (b), a preliminary registration step (b0) in which it automatically detects on the vascular image to be studied, at least one characteristic zone normally present in any subject to be studied and in the cerebrovascular atlas, and the vascular image to be studied is thus roughly located in the cerebrovascular atlas; said characteristic zone is chosen from: the Willis polygon, the Sylvian veins, the anterior cerebral artery, the largest arteries of the brain; the method comprises at least one preliminary step (p) of reference functional vascular mapping, comprising the following substeps: (p1) a reference imaging substep during which one carries out at one and the same time: said atlas at least one subject of the subject class, and a reference anatomical atlas made by imaging the brain of at least one subject of the class of subjects under consideration, by a second type of imaging giving an anatomical image of the subject. brain more accurate than ultrasound imaging, (p2) a substep of functional reference mapping in which said functional brain atlas is determined from a functional anatomical atlas that includes at least one typical anatomical atlas of the brain and functional areas identified on this typical anatomical atlas, this substep of reference functional mapping being performed by making appropriate dre said reference anatomical atlas with the standard anatomic atlas, to identify the functional areas of the functional anatomical atlas on said cerebrovascular atlas; during the reference imaging substep (pl), said cerebral vascular atlas is performed by vascular ultrasonic imaging of the brain: during the reference functional mapping substep (p2), the the anatomical atlas of reference with the anatomical atlas type by recognition of form; during the sub-step (p2) of reference mapping, a geometric deformation is determined that makes it possible to pass from said anatomical reference atlas to the standard anatomic atlas, this geometric deformation is applied to the cerebral vascular atlas and thus in correspondence the cerebral vascular atlas with the functional zones of the functional anatomic atlas; during said reference imaging substep (pl), several subjects of the respective subject class are successively carried out, respectively several initial vascular images by vascular ultrasonic imaging of the brain and several initial anatomical images by said second imaging type; , and said cerebral vascular atlas and said anatomical reference atlas are determined by statistical calculation respectively from said initial vascular images and initial anatomical images; each initial vascular image is three-dimensional; each initial vascular image is two-dimensional, the reference functional vascular mapping being obtained from vascular reference images made in a plurality of successive planes; each class of subjects corresponds to at least one criterion chosen from: species, sex, age, weight; a stimulus is applied to the subject and an activation of at least one functional zone (1c) is detected on the cerebral vascular image (IVO) following this stimulus; - visualizing on the cerebral vascular image targeted action to at least one functional area identified on the cerebral vascular image, and guide this action to said identified functional area; said action is chosen from an electrode implantation, a fluid injection, a remote stimulation by a wave (electromagnetic, sonic, ultrasonic, light); the imaging step is carried out with at least one ultrasonic probe displaceable by motorized means, and said at least one probe is moved until the cerebral vascular image corresponds to at least one desired functional zone; the imaging step (a) is carried out with at least one ultrasound probe adapted to produce a three-dimensional image, and a two-dimensional image corresponding to at least one desired functional zone is extracted from this three-dimensional image. Furthermore, the invention also relates to a device for implementing a method as defined above, comprising: vascular imaging means adapted to image a brain of a human or animal subject by ultrasound imaging, to obtain a vascular image to be studied, said subject belonging to a certain class of subjects, - recognition recognition means, adapted to automatically compare the vascular image to be studied, with a corresponding reference functional vascular mapping said class of subjects, said reference functional vascular mapping comprising a typical cerebral vascular network for said class of subjects and cerebral functional areas corresponding to this type cerebral vascular network, said locating means being adapted to thereby determine which cerebral functional areas of functional vascular reference mapping correspond to the vascular image to be studied. BRIEF DESCRIPTION OF THE DRAWINGS Other features and advantages of the invention will emerge during the following description of one of its embodiments, given by way of non-limiting example, with reference to the accompanying drawings. In the drawings: FIG. 1 is a schematic view of a device for implementing a method according to an embodiment of the invention, FIG. 2 is a block diagram of a part of the device. FIG. 3 is a perspective view of a rat brain showing an imaging plane in the case of two-dimensional imaging and a reference coronal plane; FIG. 4 is an example; vascular image to be studied which can be carried out by ultrasound imaging, for example from the brain of FIG. 3, in a coronal plane; FIG. 5 is an example of a functional brain map that can correspond, for example, to the brain of FIG. 3, in a coronal plane; Figure 6 shows a set of initial vascular images taken in successive coronal planes on a rat brain to participate in the constitution of a cerebral vascular atlas of a certain class of rats; Figure 7 schematically illustrates the embodiment of said cerebral vascular atlas; - Figure 8 schematically illustrates the production of a coronal cerebral vascular image incorporating a functional map according to the invention, using the only ultrasound imaging; And FIG. 9 shows an example of successive functional vascular images obtained by the method of the invention, making it possible to monitor in real time the activation of certain functional areas of the brain. DETAILED DESCRIPTION In the different figures, the same references designate identical or similar elements. FIG. 1 shows an exemplary device adapted to perform vascular imaging of the brain 1 of a human or animal subject to be studied, by emission and reception of ultrasonic compression waves, for example of frequencies between 1 and 40 MHz. The emission and reception of ultrasonic waves can be done by means of a network 2 of ultrasound transducers either by crossing all or part of the skull of the subject, or directly in contact with the brain 1, in particular at the level of one or several trephinations of the skull. The imaging device comprises, for example, as illustrated in FIGS. 1 and 2: a network 2 of n ultrasonic transducers 2a (T1-Tn), comprising, for example, a few hundred transducers 2a, this network 2 possibly being, for example a transducer array (1D array) adapted to produce a two-dimensional (2D) image or a two-dimensional array adapted to produce a three-dimensional (3D) image; an electronic circuit 3 controlling the transducer array 2 and adapted to emit ultrasonic waves by the transducer array and acquire the signals picked up by this transducer array; a computer 4 or the like for controlling the electronic circuit 3 and displaying the ultrasound images obtained from said captured signals. As shown in FIG. 2, the electronic circuit 3 may comprise, for example: n analog / digital converters 11 (A / Di) connected individually to the n transducer network transducer transistors T1-TN, n buffer memories 12 (Bi) respectively connected to the n analog / digital converters 11, a central unit 13 (CPU) communicating with the buffer memories 12 and the computer 4 and adapted to the processing of the signals sent to the transducer array 2 and received from said array of transducers; memory 14 (MEM) connected to the central unit 13. The imaging device shown in Figures 1 and 2 is adapted to perform a synthetic ultrasound imaging of the brain for fine imaging the cerebrovascular network and to give at least one hemodynamic information (that is to say relating to blood flows), as described in particular by Macé et al. (Above-mentioned publications "Functional Ultrasound Imaging of the Brain: Theory and Basic Principles", IEEE Trans Ultrasound Ferroelectr Freq Control, 2013 Mar; 60 (3): 492-506) and "Functional Ultrasound Imaging of the Brain", Nature Methods, 8 , 662-664, 2011) and in EP2101191. The hemodynamic information given by the cerebral vascular image thus obtained can be chosen in particular from: cerebral vascular volume, power Doppler, blood flow velocity, color Doppler, a value representative of the circulatory resistance ( Pourcelot or other). As shown in FIG. 3, in the case of two-dimensional imaging, the cerebral vascular image can be made in a plane P, for example in a direction close to a coronal plane PO, but in practice most often different from the coronal plane. perfect P0. The cerebral vascular image IV obtained, visible in FIG. 4, makes it possible to visualize the blood vessels 1b of the brain 1 with excellent definition, making it possible to visualize including micro-vessels. The aforementioned hemodynamic information can be given by the luminous intensity of each pixel and / or by a color scale. This hemodynamic information reflects the local cerebral activity and therefore makes it possible to perform functional imaging, provided that it is possible to locate each pixel of the image in a functional anatomical atlas of the brain (Paxinos or other) of which an IF coronal cut is This functional atlas 20 contains a typical anatomical atlas of the brain (form of brain tissue) and a typical functional atlas consisting of functional areas lc located on this typical anatomic atlas. Each of the functional areas 1c of the typical functional atlas corresponds to a specific motor, sensory or cognitive function and carries a specific reference corresponding to this function. Each functional anatomical atlas is valid for a class of subjects studied, corresponding for example to a species, a sex (male / female), a weight range and an age range of the subject under study (or only some of these criteria, more possibly). However, it is very difficult for an operator to identify the cerebral vascular image IV in the functional anatomical atlas, since on the one hand, the cerebral vascular image IV does not correspond to the anatomical images that can be extracted from the anatomic atlas. type and on the other hand, the plane P of the cerebral vascular image is generally not exactly a coronal plane PO as explained above. To remedy this drawback, the invention provides for advancing, for at least certain classes of subjects to be studied, a typical cerebral vascular atlas corresponding to said class of subjects, in correspondence with a functional brain atlas type AF corresponding to said AV cerebral vascular atlas and whose functional brain areas are identified in this AV cerebral vascular atlas. These two atlases can be established in advance, in particular during a preliminary step (p) of reference functional vascular mapping, comprising the following substeps: (p1) a reference imaging sub-step during which one performs at the same time: 20 - said cerebral vascular atlas (made by vascular ultrasound imaging of the brain, or by CT, MRI, CT scanner) of at least one subject of the class of subjects considered, and a reference anatomical atlas performed by imaging the brain of said at least one subject of the class of subjects under consideration, by a second type of imaging giving a more precise anatomical image of the brain than ultrasound imaging, for example by MRI, (p2) a sub-step of mapping reference functional unit during which said functional brain atlas is determined from a functional anatomic atlas (Paxinos or other) which comprises at least one anatomical atlas This functional reference mapping sub-step is performed by mapping the said reference anatomical atlas with the standard anatomical atlas to identify the functional areas of the brain. anatomical functional atlas on said cerebral vascular atlas.
[0003] During said reference imaging sub-step (pl), several initial vascular images IV (FIG. 6) can be produced successively on several subjects of the subject class, by vascular ultrasonic imaging of the brain and several initial anatomical images. by said second type imaging. The said cerebral vascular atlas and the said anatomical reference atlas are determined by statistical calculation respectively from the said initial vascular images and from the initial anatomical images (for example, by average of the initial vascular images and initial anatomical images respectively), as illustrated schematically on the Figure 7 for the cerebrovascular atlas in the rat. During the baseline functional mapping sub-step (p2), the reference anatomical atlas can be matched with the standard anatomical atlas by pattern recognition. For example, a geometrical deformation is determined which allows to pass from said anatomical reference atlas to the standard anatomical atlas, then this geometrical deformation is applied to the cerebral vascular atlas and the cerebrovascular atlas is thus matched with the zones. functional anatomical atlas. Once the AV type 30 cerebrovascular atlas corresponding to a class of subjects has been established, in correspondence with the typical AF functional brain atlas for the same class of subjects, functional areas can be easily and automatically identified on an IVO cerebral vascular image. performed only by ultrasound imaging, by the process illustrated in FIG. 8: (a) Imaging: A brain 1 of the subject is imaged by ultrasound imaging, to obtain the vascular image to be studied IVO. (b0) Possible preliminary marking: Possibly, a preliminary coarse identification is carried out initially during which one automatically detects on the vascular image to study IVO, at least one characteristic zone normally present in any subject to be studied and in the atlas AV vascular system, and the vascular image to be studied IVO in the AV cerebral vascular atlas is thus roughly placed. Said characteristic zone may be an invariant point or structure of the brain, for example the Willis polygon, the sylvian veins, the anterior cerebral artery, the largest arteries of the brain. (b) Spotting: By pattern recognition, the vascular image to be studied IVO is automatically compared by correlation with the AV cerebrovascular atlas corresponding to the class of subjects to which the subject under study belongs, and the image is thus located. to study IVO in the cerebrovascular AV atlas. In practice, this step of locating the vascular image to be studied IVO in the AV vascular atlas is determined by form recognition, a vascular image IVR from the AV vascular atlas, best matching the image. vascular to study IVO. The AV vascular atlas may optionally be constituted by a series of two-dimensional IV vascular cerebral images taken in successive adjacent planes (for example coronal or other planes), and the aforementioned identification may consist, in a simplified version, in the choice of the IVR cerebrovascular image closest to the vascular image to be studied IVO (which in this case is a two-dimensional image). In a more elaborate version and when the vascular image to be studied IVO is two-dimensional, this identification also consists in determining, by shape recognition, the orientation and the position of the plane of the IVO image, and in reconstituting an IVR image derived from the AV vascular atlas in this plane (whether the atlas is three-dimensional or constituted by a series of two-dimensional IV cerebral vascular images taken in successive adjacent planes). (c) Identification: Using the functional brain atlas AF corresponding to said cerebrovascular AV atlas, at least one cerebral functional area Ic is identified on the vascular image to be studied IVO. More specifically, an IFR image from the functional atlas AF, corresponding to the abovementioned IVR image, is determined, and this IFR image is matched with the vascular image to be studied IVO, by geometric deformation, to thereby determine a map Functional IFO (formed by the boundaries of the functional areas lc), which is superimposed on the vascular image to be studied IVO to obtain an IVFO functional vascular image of the brain 1.
[0004] More precisely, during the locating step (b), it is possible to determine a geometrical deformation that makes it possible to pass from the IVR image to the vascular image to be studied IVO, and during the identification step (c). ), the IFO functional map of the vascular image to be studied IVO can be determined by applying this geometric deformation to the IFR image derived from the functional brain atlas AF. Once the IFO functional map is established, it remains unchanged as long as the ultrasound imaging probe 2 remains stationary (this probe can for example be fixed rigidly to the skull of the subject, or by means of a motorized actuator to control controlled movements of this probe). IVO cerebral vascular images can then be made over time (see FIG. 9), for example in synchronism with external or internal stimulations applied to the subject to be studied (including conscious or unconscious brain activity). These cerebral vascular images are superimposed on the IFO functional map, so as to visualize and possibly record the activation of the functional zones lc in time. It is thus also possible to visualize and guide the implantation of electrodes or the injection of particular therapeutic agents into targeted functional areas, or else remote stimulation by a wave (electromagnetic, ultrasound, sound or light). It should also be noted that the method described above makes it easy to move the ultrasound probe 2 to a desired position to image certain defined functional areas, when said probe 2 rigidly attached to the skull of the subject, or via a motorized actuator for controlling controlled movements of this probe. Indeed, the cerebral vascular image IVO being located in the functional atlas AF, it is easy to determine the displacement necessary to visualize a desired functional area lc. Likewise, when the ultrasound imaging is carried out with at least one ultrasound probe 2 adapted to produce a three-dimensional image, it is possible to extract from this three-dimensional image a two-dimensional image corresponding to at least one desired functional zone 1c. 35
权利要求:
Claims (19)
[0001]
REVENDICATIONS1. A method of functional imaging of the brain by ultrasound, comprising the steps of: (a) a vascular imaging step in which a brain (1) of a human or animal subject is imaged by ultrasound imaging to obtain an image vascular study (IVO), said subject belonging to a certain class of subjects, (b) a registration step, during which, by shape recognition, one automatically compares at least a portion of the vascular image to be studied ( IVO) with a cerebrovascular atlas (VA) corresponding to said class of subjects, and thus the vascular image to be studied (IVO) is located in the cerebrovascular (CV) atlas, (c) a step of identification during of which a cerebral functional atlas (FA) corresponding to said cerebral vascular atlas (AV) and comprising cerebral functional areas (1c) identified in this cerebral vascular atlas (AV) are used, so that at least one zone is identified. functional brain (1c) on the vascular image to be studied (IVO).
[0002]
2. A method of functional imaging of the brain according to claim 1, wherein during the locating step (b), a part (IVR) of the cerebral vascular atlas (AV) is matched with the image. vascular study (IVO), and during the identification step, a functional area map (IFO) corresponding to said portion of the cerebrovascular vasculature (AV) is determined, and the vascular image is superimposed on study (IVO) with said map of functional areas (IF0).
[0003]
3. A method of functional imaging of the brain according to claim 2, wherein, during the locating step, determining a geometric deformation to pass from said at least one part (IVR) of the cerebral vascular atlas (AF ) to the vascular image to be studied, and during the identification step, the functional map (IFO) of the vascular image to be studied is determined by applying this geometrical deformation to a part (IFR) of the atlas brain function (AF) corresponding to said part (IVR) of the cerebrovascular atlas (VA) which corresponds to the vascular image to be studied (IVO).
[0004]
4. A method of functional imaging of the brain according to any one of the preceding claims, wherein in the identification step (b), said pattern recognition is performed by correlation between the vascular image to be studied (IVO) and the cerebrovascular atlas (VA).
[0005]
5. Process for functional imaging of the brain according to any one of the preceding claims, in which the vascular image to be studied (IVO) comprises at least one hemodynamic information selected from: cerebral vascular volume, power Doppler, blood flow, the color Doppler, a representative value of circulatory resistance.
[0006]
6. A method of functional imaging of the brain according to any preceding claim, wherein the cerebrovascular atlas contains data from an imagery selected from: ultrasound imaging, angioscan, MRI, CT scanner.
[0007]
A method according to any one of the preceding claims, further comprising, between the imaging step (a) and the locating step (b), a preliminary registration step (b0). during which one automatically detects on the vascular image to be studied (IVO), at least one characteristic zone normally present in any subject to be studied and in the cerebral vascular atlas (AV), and the vascular image is thus roughly located at to study (IVO) in the cerebrovascular atlas (VA).
[0008]
8. A method of functional imaging of the brain according to claim 7, wherein said characteristic zone is chosen from: the Willis polygon, sylvian veins, the anterior cerebral artery, the largest arteries of the brain.
[0009]
A method of functional imaging of the brain according to any one of the preceding claims, comprising at least one preliminary step (p) of functional vascular reference mapping, comprising the following substeps: (p1) an imaging sub-step reference in the course of which one carries out at the same time: - said cerebral vascular atlas (AV) of at least one subject of the class of subjects considered, - and an anatomical atlas of reference realized by imaging the brain of said less a subject of the class of subjects considered, by a second type of imaging giving a more precise anatomical image of the brain than ultrasound imaging, (p2) a substep of reference functional mapping during which said functional brain atlas is determined ( AF) from a functional anatomic atlas that includes at least one typical anatomical atlas of the brain and functional areas identified on this typical anatomical atlas this substep of reference functional mapping being performed by matching said reference anatomical atlas with the standard anatomic atlas, to identify the functional areas of the functional anatomical atlas on said cerebrovascular atlas.
[0010]
10.The functional brain imaging method according to claim 9, wherein during the reference imaging substep (pl), said cerebral vascular atlas (CV) is performed by vascular ultrasonic imaging of the brain.
[0011]
11.The functional brain imaging method according to claim 9 or claim 10, wherein during the baseline functional mapping sub-step (p2), the reference anatomical atlas is mapped to the anatomical atlas. type by pattern recognition.
[0012]
12.The functional brain imaging method as claimed in claim 11, wherein during the reference mapping sub-step (p2), a geometric deformation is determined that makes it possible to pass from said anatomical reference atlas to the standard anatomical atlas. this geometrical deformation is applied to the cerebrovascular (CV) atlas and the cerebrovascular atlas (VA) is thus matched with the functional areas of the functional anatomic atlas.
[0013]
13.The functional brain imaging method according to any one of claims 9 to 12, wherein during said reference imaging sub-step (pl), one carries out successively on several subjects of the class of subjects considered, respectively several initial vascular images (IV) by vascular ultrasonic imaging of the brain and several initial anatomical images by said second type imaging, and said cerebrovascular atlas (VA) and said anatomical reference atlas are determined by statistical calculation respectively from said vascular images initials and initial anatomical images.
[0014]
14.A functional brain imaging method according to any one of the preceding claims, wherein each class of subjects corresponds to at least one criterion selected from: species, sex, age, weight.
[0015]
15.The functional brain imaging method as claimed in any one of the preceding claims, wherein the activation of at least one functional zone (1c) on the cerebrovascular vascular image (IVO) is detected following a stimulus applied to the subject. .
[0016]
16.The functional brain imaging method as claimed in any one of the preceding claims, in which visualization is performed on the cerebral vascular image (IVO) targeted to at least one functional zone (1c) identified on the cerebrovascular vascular image. .
[0017]
17.Brain functional imaging method according to any one of the preceding claims, wherein the imaging step (a) is performed with at least one ultrasonic probe (2) movable by motorized means, and said moving at least one probe until the cerebrovascular vascular image (IVO) corresponds to at least one desired functional area (1c).
[0018]
18.The functional brain imaging method according to any one of the preceding claims, wherein the imaging step (a) is performed with at least one ultrasound probe (2) adapted to produce a three-dimensional image, and is extracted of this three-dimensional image a two-dimensional image corresponding to at least one desired functional area (1c).
[0019]
19. A device for carrying out a method according to any one of the preceding claims, comprising: vascular imaging means (2-4) adapted for imaging a brain of a human or animal subject by ultrasound imaging, for to obtain a vascular image to be studied (IVO), said subject belonging to a certain class of subjects; - recognition recognition means (4) adapted to automatically compare the vascular image to be studied (IVO) with a vascular atlas brain (AV) corresponding to said class of subjects, and to thus locate the vascular image to be studied (IVO) in the cerebrovascular atlas (VA), - identification means (4) using a functional brain atlas (AF) ) corresponding to said cerebrovascular atlas (VA) and comprising cerebral functional areas (1c) identified in this cerebrovascular atlas (AV), said identification means being adapted to identify at least one zone brain function (lc) on the vascular image to be studied (IVO) .20
类似技术:
公开号 | 公开日 | 专利标题
FR3023156A1|2016-01-08|METHOD AND DEVICE FOR FUNCTIONAL IMAGING OF THE BRAIN
Liu et al.2017|Detecting large‐scale networks in the human brain using high‐density electroencephalography
JP2017524430A5|2018-07-12|
JP6935633B2|2021-09-15|Patch guide method and program
CN103857335B|2016-01-27|The anisotropy process of laser speckle image
US9326699B2|2016-05-03|Methods for using electrical impedance tomography
WO2019240257A1|2019-12-19|Medical image processing device, medical image processing method and program
EP2998932B1|2021-01-27|Method and device for the acquisition of ultrasound images and for the fusion of such images with pre-acquired images
KR20190028900A|2019-03-20|Method and program for navigating tms stimulation
Vellema et al.2011|A customizable 3-dimensional digital atlas of the canary brain in multiple modalities
Milton et al.2011|The neural correlates of everyday recognition memory
KR101995900B1|2019-07-04|Method and program for generating a 3-dimensional brain map
Stoll et al.2020|Topographic signatures of global object perception in human visual cortex
US10726950B2|2020-07-28|Methods and systems for autonomous control of imaging devices
EP2980706A1|2016-02-03|Method for locating brain activity associated with a task
KR101996476B1|2019-07-03|Apparatus for providing brain disease and method for the same
Cohen et al.2018|3d vessel extraction in the rat brain from ultrasensitive Doppler images
Bordier et al.2015|Quantitative evaluation of fMRI retinotopic maps, from V1 to V4, for cognitive experiments
JP2020039851A|2020-03-19|Image processing device, image processing method and program
FR2941315A1|2010-07-23|DEVICE AND METHOD FOR AIDING BRAIN LOCALIZATION
CN112822973A|2021-05-18|Medical image processing apparatus, medical image processing method, and program
Li2021|Computational Methods for Enhancements of Optical Coherence Tomography
CN113557714A|2021-10-26|Medical image processing apparatus, medical image processing method, and program
Porter2005|Three-dimensional medical ultrasound acquisition and data registration and fusion
WO2021234304A1|2021-11-25|Method for predicting the recurrence of a lesion by image analysis
同族专利:
公开号 | 公开日
US20170128036A1|2017-05-11|
JP2017524430A|2017-08-31|
IL249755A|2021-09-30|
FR3023156B1|2016-08-05|
IL249755D0|2017-02-28|
IL283542A|2022-02-01|
EP3164078A1|2017-05-10|
CN106572839B|2021-11-02|
US10653387B2|2020-05-19|
CN111557691A|2020-08-21|
WO2016001548A1|2016-01-07|
JP6694832B2|2020-05-20|
IL283542D0|2021-07-29|
CN106572839A|2017-04-19|
引用文献:
公开号 | 申请日 | 公开日 | 申请人 | 专利标题
US20080275340A1|2007-05-03|2008-11-06|University Of Washington|Ultrasonic tissue displacement/strain imaging of brain function|
US20130131495A1|2009-12-22|2013-05-23|The Trustees Of Columbia University In The City Of New York|Planning system for targeting tissue structures with ultrasound|
US7037267B1|1999-11-10|2006-05-02|David Lipson|Medical diagnostic methods, systems, and related equipment|
JP4454212B2|2001-08-31|2010-04-21|富士フイルムRiファーマ株式会社|Image-related data processing method|
US7848576B2|2004-06-18|2010-12-07|Sony Corporation|Image matching method, image matching apparatus, and program|
US7103399B2|2003-09-08|2006-09-05|Vanderbilt University|Apparatus and methods of cortical surface registration and deformation tracking for patient-to-image alignment in relation to image-guided surgery|
US8233681B2|2004-09-24|2012-07-31|The University Of North Carolina At Chapel Hill|Methods, systems, and computer program products for hierarchical registration between a blood vessel and tissue surface model for a subject and a blood vessel and tissue surface image for the subject|
US8605963B2|2007-03-19|2013-12-10|General Electric Company|Atlas-based image compression|
US9117439B2|2008-03-13|2015-08-25|Supersonic Imagine|Method and apparatus for ultrasound synthetic imagining|
US8545405B2|2008-04-23|2013-10-01|Therataxis, Llc|Device, methods, and control for sonic guidance of molecules and other material utilizing time-reversal acoustics|
US20100143241A1|2008-10-22|2010-06-10|Johnson G Allan|Method and apparatus for delivery of agents across the blood brain barrier|
JP5699936B2|2009-09-29|2015-04-15|大日本印刷株式会社|Method, apparatus and program for operating medical image processing apparatus|
JP2013534440A|2010-06-22|2013-09-05|ザ・ジョンズ・ホプキンス・ユニバーシティ|Non-invasive image analysis apparatus, workstation used therefor, and image analysis method|
US10137307B2|2012-05-16|2018-11-27|Beth Israel Deaconess Medical Center, Inc.|Identifying individual target sites for transcranial magnetic stimulation applications|
US10925492B2|2014-02-21|2021-02-23|Brainlab Ag|Atlas-based production of a medical support device|
WO2016134446A1|2015-02-26|2016-09-01|Sunnybrook Research Institute|System and method for intraoperative characterization of brain function using input from a touch panel device|US11207054B2|2015-06-19|2021-12-28|Novasignal Corp.|Transcranial doppler probe|
WO2017120361A1|2016-01-05|2017-07-13|Neural Analytics, Inc.|Integrated probe structure|
EP3399918A4|2016-01-05|2019-08-21|Neural Analytics, Inc.|Systems and methods for determining clinical indications|
US20170188992A1|2016-01-05|2017-07-06|Neural Analytics, Inc.|Systems and methods for detecting neurological conditions|
US10335106B2|2017-09-29|2019-07-02|Infinitt Healthcare Co., Ltd.|Computing system and method for identifying and visualizing cerebral thrombosis based on medical images|
JP6548049B2|2017-11-24|2019-07-24|株式会社Kompath|Image processing apparatus and program|
EP3737294A1|2018-01-11|2020-11-18|Neural Analytics, Inc.|Systems and methods for vascular mapping|
CN108670297B|2018-04-19|2021-10-12|上海大学|Multi-mode transcranial ultrasound-based Parkinson's disease auxiliary analysis system and method|
JP2019093288A|2019-03-28|2019-06-20|株式会社Kompath|Image processing system and program|
法律状态:
2015-06-25| PLFP| Fee payment|Year of fee payment: 2 |
2016-01-08| PLSC| Publication of the preliminary search report|Effective date: 20160108 |
2016-06-22| PLFP| Fee payment|Year of fee payment: 3 |
2017-06-21| PLFP| Fee payment|Year of fee payment: 4 |
2018-07-25| PLFP| Fee payment|Year of fee payment: 5 |
2020-06-17| PLFP| Fee payment|Year of fee payment: 7 |
2021-06-11| PLFP| Fee payment|Year of fee payment: 8 |
优先权:
申请号 | 申请日 | 专利标题
FR1456301A|FR3023156B1|2014-07-02|2014-07-02|METHOD AND DEVICE FOR FUNCTIONAL IMAGING OF THE BRAIN|FR1456301A| FR3023156B1|2014-07-02|2014-07-02|METHOD AND DEVICE FOR FUNCTIONAL IMAGING OF THE BRAIN|
PCT/FR2015/051752| WO2016001548A1|2014-07-02|2015-06-29|Method and device for functional imaging of the brain|
US15/323,305| US10653387B2|2014-07-02|2015-06-29|Method and device for functional imaging of the brain|
CN201580039875.5A| CN106572839B|2014-07-02|2015-06-29|Method and apparatus for functional imaging of the brain|
CN201911111139.2A| CN111557691A|2014-07-02|2015-06-29|Method and apparatus for functional imaging of the brain|
EP15736571.9A| EP3164078A1|2014-07-02|2015-06-29|Method and device for functional imaging of the brain|
JP2016575789A| JP6694832B2|2014-07-02|2015-06-29|Method and device for functional imaging of the brain|
IL249755A| IL249755A|2014-07-02|2016-12-25|Method and device for functional imaging of the brain|
IL283542A| IL283542A|2014-07-02|2021-05-30|Method and device for functional imaging of the brain|
[返回顶部]