CN106934807B - Medical image analysis method and system and medical equipment - Google Patents
Medical image analysis method and system and medical equipment Download PDFInfo
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Abstract
The invention provides a medical image analysis method, a system and equipment, wherein the method comprises the following steps: importing a plurality of paths of image data; registering the space coordinate positions of the imported image data of different paths, and establishing a registration relation; selecting one path or multiple paths of image data, and dividing one or more target areas in each path of image data; extracting the characteristics of the segmented target region, and mapping the target region to other images according to the registration relation; appointing any spatial plane position, and generating a plurality of tangent plane images from the registered images; and correspondingly displaying the images at different section positions in different sub-windows, and displaying the section images at the same position from different image data in the same sub-window. The method overcomes the technical problems that the display mode in the prior art can not embody the volume characteristics of three-dimensional image data and is not beneficial to comparing the difference between different images, can quickly and effectively observe the fine difference of images in the same mode or different modes and the corresponding spatial position relation of a target organization structure in images in different modes and time phases, and is convenient for image comparison analysis.
Description
Technical Field
The invention relates to a medical image analysis method, a medical image analysis system and medical equipment, and belongs to the technical field of medical images.
Background
Currently, for clinical diagnosis, a patient may perform multiple medical imaging device image acquisition examinations (such as CT, MRI, ultrasound, etc.) on a tissue organ of the same body part in a medical imaging examination, perform different mode image acquisition examinations (such as ultrasound contrast map, tissue map) on the same medical imaging device, and periodically check images acquired in the same mode at different periods (such as before and after an operation and different stages of a disease cycle), for example, in a tumor treatment process, whether a surgical operation or a minimally invasive interventional therapy, a lesion growth condition needs to be periodically reviewed, and an image of a tumor target region needs to be acquired each time. In the process, the main analysis and evaluation means of the tumor growth condition is to simply measure the change of the major diameter of the target tumor area. However, the positions of image acquisition are different every time, so that the consistency of the positions of the long-diameter section found is difficult to ensure, and the accuracy of long-diameter measurement is not high; on the other hand, the completion effect of the interventional ablation operation treatment is judged, whether the ablation region is complete or not is analyzed, whether an ablation focus completely covers the tumor region and an ablation safety boundary is reserved, therefore, images in a certain range around the tumor treatment region are acquired before and after the operation respectively, the images respectively contain the tumor focus or the ablation focus, and then the coverage state of the ablation focus on the focus region in any corresponding section can be checked through proper image segmentation and registration to enable the image content position to be matched.
In addition, in the prior art, image registration fusion display schemes have been applied to medical image processing, and the display methods thereof are mainly divided into two categories, one category is that two associated section images are synchronously displayed in two sub-windows on a screen side by side, so that the size of the two images is necessarily limited by the size of the screen by adopting a side-by-side display mode, and when the size difference between the two images is large, the large image is displayed incompletely or the small image is displayed in a small scale by zooming the image with the same scale, therefore, the large image must be cut to adapt to the limited size of the screen window, however, even if the same sections of two groups of registered data are normally displayed side by side at the same time, the difference of image content pixel levels is difficult to distinguish by human eyes in the display mode; the other display method is to superpose and display two registration tangent planes according to a given fusion proportion by using the same scale, so that the problem that the size of two windows displayed side by side on the same screen limits the image size is avoided, although registration tissue structures in the images can correspond to each other pixel by pixel, the simultaneous display of the two images is bound to generate mutual interference to reduce the visual resolution, the existing fusion display is the superposition of multi-modal data, the superposition of ultrasound images and CT/MRI is more, the fusion display of the same-modal data is not available, the data properties of the images in the same modality are similar, the discrimination of the images after the fusion and superposition display is insufficient, the difference of different parts of a target region in a three-dimensional space cannot be judged, and the precision of the image differentiation shown by the superposition of the images in the different modalities is not ideal.
Disclosure of Invention
Therefore, one of the objectives of the present invention is to provide a method, a system and a device for quickly and effectively observing the fine differences after the images of the same or different modalities are registered and the corresponding spatial position relationship of the target tissue structure in the images of different modalities and time phases, so as to facilitate image comparison and analysis, aiming at the technical problems that the display mode in the prior art cannot reflect the volume characteristics of data and is not beneficial to comparing the differences of the images of different modalities.
In some embodiments of the present invention, a medical image analysis method is provided, including the steps of:
receiving a plurality of paths of image data;
registering the received multiple paths of image data, and establishing a registration relation among the multiple paths of image data;
selecting one or more paths of image data from the plurality of paths of image data, and dividing one or more target areas from the selected one or more paths of image data;
mapping the target area to other path image data according to the registration relation;
generating a plurality of tangent plane images of the registered paths of image data on a plurality of specified space planes according to the registered paths of image data;
and correspondingly displaying the section images positioned on different spatial planes in the plurality of section images in different sub-windows, wherein the section images positioned on the same spatial plane in the plurality of section images are switched and displayed in the same sub-window.
Some embodiments of the invention further comprise: extracting features of the segmented target region, wherein the extracting features of the segmented target region comprises extracting contour feature data or volume data of the target region.
In some embodiments of the invention, the method further comprises: and overlapping and fusing the contour characteristic data or the volume data on the section images in each sub-window in a pseudo-color, shadow or edge-hooking mode.
In some embodiments of the present invention, generating a plurality of tangent plane images of the registered paths of image data on the specified plurality of spatial planes according to the registered paths of image data includes: and finding out the registered corresponding position in the plurality of paths of image data and the contour characteristic data or the volume data according to the appointed space plane position, and interpolating to generate images of the slice sections which are respectively intersected with the space plane and the registered plurality of paths of image data.
In some embodiments of the invention, the plurality of paths of image data comprises at least two paths of three-dimensional image data.
In some embodiments of the present invention, the displaying the section images located on different spatial planes in different sub-windows correspondingly comprises: and the plurality of sub-windows simultaneously display section images of the same path of image data on different spatial planes.
In some embodiments of the present invention, the plurality of paths of image data includes at least one path of two-dimensional image data and one path of three-dimensional image data.
In some embodiments of the present invention, displaying the slice images located on different spatial planes in different sub-windows correspondingly comprises: and displaying the section image corresponding to the two-dimensional image data position in one of the sub-windows, and correspondingly displaying the other section images parallel to the section image corresponding to the two-dimensional image data position in other sub-windows.
In some embodiments of the invention, the method further comprises: receiving the labeling operation performed on the image of any sub-window, and synchronously mapping the result of the labeling operation to all section images displayed in the same sub-window.
In some embodiments of the invention, the several passes of image data are image data of different modalities, different phases, and/or different dimensions.
Some embodiments of the present invention also provide a medical image analysis system, including:
a data acquisition unit: receiving a plurality of paths of image data;
an image registration unit: registering the received multiple paths of image data, and establishing a registration relation among the multiple paths of image data;
a target region dividing unit: selecting one or more paths of image data from the plurality of paths of image data, and dividing one or more target areas from the rotated one or more paths of image data;
a fusion unit: mapping the target area to other path image data according to the registration relation;
section generation unit: generating a plurality of tangent plane images of the registered paths of image data on a plurality of specified space planes according to the registered paths of image data;
a display unit: and correspondingly displaying the section images positioned on different spatial planes in the plurality of section images in different sub-windows, wherein the section images positioned on the same spatial plane in the plurality of section images are switched and displayed in the same sub-window.
In some embodiments of the present invention, the fusion unit further extracts features of the segmented target region, and the extracting features of the segmented target region includes extracting contour feature data or volume data of the target region.
In some embodiments of the present invention, the contour feature data or the volume data is displayed on each sub-window image in an overlapping and fusing manner in a pseudo color, a shadow, or a hook edge manner.
In some embodiments of the present invention, the tangent plane generating unit finds a corresponding registered position in the plurality of paths of image data and the contour feature data or the volume data according to a specified spatial plane position, and interpolates to generate an image of a slice cross section where the spatial plane and the plurality of paths of registered image data intersect with each other.
In some embodiments of the invention, the plurality of paths of image data comprises at least two paths of three-dimensional image data.
In some embodiments of the present invention, in the display unit, a plurality of sub-windows simultaneously display the section images of the same path of image data on different spatial planes.
In some embodiments of the present invention, the plurality of paths of image data includes at least one path of two-dimensional image data and one path of three-dimensional image data.
In some embodiments of the present invention, in the display unit, a section image corresponding to the position of the two-dimensional image data is displayed in one of the sub-windows, and the remaining section images parallel to the section image corresponding to the position of the two-dimensional image data are correspondingly displayed in the other sub-windows.
In some embodiments of the present invention, the apparatus further includes an interactive operation unit, configured to receive an annotation operation performed on the image of any sub-window, and map a result of the annotation operation to all section images displayed in the same sub-window in synchronization.
In some embodiments of the invention, the several passes of image data are image data of different modalities, different phases, and/or different dimensions.
Some embodiments of the invention also provide a medical imaging apparatus comprising the medical imaging system of any one of the above.
Compared with the prior art, the technical scheme of the invention has the following advantages:
(1) the medical image analysis method of some embodiments of the present invention includes the steps of: importing a plurality of paths of image data; registering the space coordinate positions of the imported image data of different paths, and establishing a registration relation; selecting one path or multiple paths of image data, and dividing one or more target areas in each path of image data; extracting the characteristics of the segmented target region, and mapping the target region to other images according to the registration relation; appointing a spatial plane position, and generating a tangent plane image from the registered image; and correspondingly displaying the different section images in different sub-windows. Therefore, the analysis method processes the multi-path images, the target area in the multi-path images is registered to other images, the spatial position is appointed to generate a section image according to the requirement, the image characteristics of the three-dimensional image data at different spatial positions can be better embodied in a mode of correspondingly generating a plurality of sections at different spatial positions, the volume characteristic of the target area is obtained, the position relation of the target area in the whole space is well embodied, the different sections of one path of image data can be simultaneously displayed in a mode of displaying images with different sections by adopting a plurality of sub-windows, and the defect that the volume characteristic of the three-dimensional data cannot be embodied in the planar image display in a double-window side-by-side display mode, a superposition fusion display mode and the like in the prior art is overcome; meanwhile, by importing different paths of image data, a clear target region in a path of image data can be segmented and mapped to other registration images, so that different types of image data acquired by different imaging devices and different modalities can be observed in one image conveniently, comparison and analysis among the images are facilitated, and the advantages of different data types can be combined better; and by displaying the section from the same spatial position in different images in the same sub-window and switching and displaying among different paths of image data, the slight difference after the images in the same mode or different modes are registered can be quickly and effectively observed.
(2) In the medical image analysis method according to some embodiments of the present invention, extracting the feature of the segmented target region includes extracting contour feature data or volume data of the target region, the outline characteristic data or the volume data are superposed, fused and displayed on each sub-window image in a pseudo color mode, a shadow mode or a fringing mode, therefore, the outline of the target area may be highlighted in the other images by means of pseudo-color, shading or outlining, the spatial corresponding position relation of a certain specific target region in different modal and phase images can be observed and compared at the same time in the same window, and the adoption of false color, shadow or edge-pointing mode to display the outline information is not the superposition of actual image data, and is easy to distinguish the target image area and the outline range, and only needs the minimized space and time overhead.
(3) In the medical image analysis method according to some embodiments of the present invention, when the plurality of paths of image data include at least two paths of three-dimensional image data, the plurality of sub-windows simultaneously display different slice positions of the same path of image data, so that a volume characteristic of the three-dimensional image data can be displayed in a form of a plurality of ordered sub-windows, and when the plurality of paths of image data include at least one path of two-dimensional image data and one path of three-dimensional image data, a slice corresponding to a position of the two-dimensional image data is displayed in one of the sub-windows, and remaining slices parallel to the slice are displayed in other sub-windows, so that a slice corresponding to a position of the two-dimensional slice image in the three-dimensional image data can be selected, so that a feature of the two-dimensional slice image can be matched with a corresponding slice in the three-dimensional image data, the characteristics of the two are accurately combined and reflected, so that comparative analysis is convenient to carry out.
(4) According to the medical image analysis method provided by some embodiments of the invention, the section images at the same registration position in each path of image data are switched and displayed in the same sub-window, the section images have the same size and resolution, and the pixel positions correspond to each other, so that when different paths of images are switched, the corresponding section images at the same registration position can be displayed at the same position in the same window, and the pixel positions of the registered images correspond to each other, so that the fine difference of the images can be more conveniently distinguished.
(5) According to the medical image analysis method in some embodiments of the invention, the labeling operation is performed on the image of any sub-window, and the result of the labeling operation is mapped and reflected on all matched image sequences of the same sub-window synchronously, so that after one image is labeled, repeated labeling is not required in other images of the image corresponding to the section position, the difference of each image is convenient to compare, the design is reasonable, and the operation is simple.
(6) In the medical image analysis method according to some embodiments of the present invention, the plurality of paths of image data are any combination of image data from different modalities, different time phases, and different dimensions, so that a target region in a certain path of image with a clear target region in different modalities can be segmented as needed, superimposed and fused into data of another modality, thereby facilitating image comparison analysis of a specific target region, and further, image data characteristics of different imaging devices can be fully utilized to facilitate observation of disease development changes.
(7) The medical image analysis system and the medical image analysis equipment in some embodiments of the invention have all the advantages of the method due to the adoption of the method.
Drawings
In order that the present disclosure may be more readily and clearly understood, reference is now made to the following detailed description of the embodiments of the present disclosure taken in conjunction with the accompanying drawings, in which
FIG. 1 is a schematic flow chart of a multi-path data fusion display according to the first embodiment;
FIG. 2 is a schematic flow chart of an analysis method according to the first embodiment;
FIG. 3 is a schematic view of region of interest selection according to the first embodiment;
FIG. 4 is a diagram showing a system display interface according to a fifth embodiment;
FIG. 5 is a flow chart of a multi-path data matching display according to the fifth embodiment;
Detailed Description
The following describes a medical image analysis method, system and medical device according to the present invention with reference to specific embodiments:
example one
As shown in fig. 1, the medical image analysis method of the present embodiment may include three parts: data acquisition and import, image analysis and image display.
As shown in step 200, in the data acquisition and import step, various types of image data may be first acquired and loaded, and then the image analysis section is entered, where the image analysis may include image registration as shown in step 201, image segmentation as shown in step 202, and region-of-interest image selection as shown in step 203, so as to implement corresponding processing on each data and generate a slice image for display, and finally, as shown in step 204, a slice image sequence and parameter information generated by the image analysis section are sent to the display unit for multi-slice fusion display.
In addition, the medical image analysis method of this embodiment may further include an interactive operation for operating the process control, responding to the user's manipulation of the displayed image data, such as image reading and display switching control, image tracing, target selection, interactive registration, and the like.
Preferably, as shown in fig. 2, the medical image analysis method of the present embodiment may include the following steps:
as shown in step 101, firstly, importing a plurality of paths of image data;
in some embodiments of the present invention, the multiple paths of image data may include any combination of sets of image data with different dimensions, different modalities, and different time phases, where the image data of different modalities may be image data of different data types from different imaging devices, or image data acquired by the same imaging device in different working modes and different parameter settings, for example, the multiple paths of image data may include image data of multiple imaging modes such as ultrasound image data, CT image data, MRI image data, PET image data, X-Ray image data, or may include ultrasound image, CT/MRI image, or tissue map, radiography map, and blood flow map acquired by imaging devices such as CT, MR, ultrasound, etc. multiple times, or multiple acquisitions of the same type of image, and the multiple paths of image data include two-dimensional image data, and any combination thereof, Three-dimensional image data, or both two-dimensional, three-dimensional image data and combinations thereof.
Then, as shown in step 102, registering the spatial coordinate positions of the imported image data of different paths, and establishing a registration relation, so that each image is transformed into the same relative physical spatial coordinate system;
for example, in some embodiments, the registration method may include:
determining the registration transformation relation of the images through mechanical movement positioning of equipment during image acquisition and generation, and realizing image registration among the once-acquired multi-channel imaging data; or, the position transformation relation among all paths of data is found directly by the structural information in the image data through an image registration algorithm, and the registration among the multiple collected data is realized; or, recording the positioning coordinates of the image data by using space positioning equipment similar to a GPS during image acquisition, and calculating the mutual transformation relation by the positioning coordinates recorded by each data;
for example, in a specific implementation, the image registration algorithm used for the registration of the imported image data of different paths finds the position transformation relationship among the image data of each path, which mainly includes a similarity measurement method between the images and a mapping method between the images, and according to the difference of the mapping methods, the method can be divided into rigid body transformation, affine transformation and nonlinear transformation, where, firstly, two images to be registered are scaled to the same scale by using a corresponding interpolation method, such as a bilinear difference algorithm, and then rotation and translation registration calculation is performed according to the rigid body, and it is assumed that a pixel point in the image data of a path is XiThe brightness of the image of (A) is f (X)i) And another path of image data pixel point YiThe brightness of the image of (1) is g (Y)i) The mapping between the two image data paths can be expressed as:
the similarity measure function between two image data can be defined as
The similarity measure has many algorithm models, which are not described in detail herein, and meanwhileMeasuring f (X) in a functioni)，g(Yi) But also as local gradient magnitude, local gray quotient, etc., of the corresponding data.
However, the registration method of the present embodiment is not limited to this, and many automatic registration algorithms in the prior art and the like may be adopted, so long as the spatial positions of all images can be in one-to-one correspondence, the requirement of the present embodiment is satisfied.
As shown in step 103, selecting one or more paths of image data, and segmenting one or more target regions in each path of image data;
in some embodiments, the target region may be segmented from a certain path of data with a clear target tissue structure in the multi-path data, for example, the multi-path image data includes ultrasound image data and CT image data, where a bone region in the CT image is clear, and the bone region in the CT image may be segmented;
meanwhile, in the present embodiment, there are various options for the algorithm of image segmentation, for example, a Graph Cut algorithm may be adopted to automatically segment the target region according to the difference of the gray level distribution inside and outside the target tissue region; or, the edge of the target area is drawn on each two-dimensional slice of the three-dimensional data by adopting a manual segmentation method, and a three-dimensional body and a shape can be generated based on the two-dimensional edges;
however, the segmentation method of the present embodiment is not limited to this, and various segmentation methods may be adopted, so long as the extraction of the key target tissue structure region in the image data is achieved, the requirements of the present embodiment can be met.
It should be noted that, the image registration and the image segmentation are not in a sequential order, and each image may be registered first, a target region in one or more images in the registered images is segmented, and the target region is mapped to the rest of the registered images according to the registration relationship established in the registration process; or the target area in one or more images can be segmented, and then the segmentation result is mapped to each registration image in a registration mode.
Further, the target region may be divided in any image of the input multi-path images by two-dimensional region division or three-dimensional region division, that is, the above method may divide the target region in the two-dimensional image or divide the target region in the three-dimensional image.
Furthermore, the number of the divided regions is not limited to one, and one, two or more target regions can be divided according to actual needs;
then, as shown in step 104, extracting the features of the segmented target region, and mapping the target region to other images according to the registration relationship;
in some embodiments, the feature of the target region of the present embodiment may be a contour feature or a volume data feature of the region.
Furthermore, after all input images are registered, the corresponding relations of all pixel points can be found in the same coordinate system, and the target region position in the step finds the corresponding region of the same spatial position in other registered images according to the registering relation, so that the marking of the registering position of the segmented target region is completed.
And then completing the fusion and superposition display of all the registered images and the segmented target region:
as shown in step 105, specifying the spatial plane position, and generating a tangent plane image from the registered image;
in this step, the corresponding position of registration is found in the multi-channel image data and the segmented target region, and a section image is generated, so that a correct two-dimensional image section is generated in the sub-window, it should be noted that, if the imported image data includes two-dimensional image data, the position of the spatial plane may be the position of the two-dimensional section;
fig. 3 shows a specific implementation of the process of selecting a region of interest in this step, three- dimensional image data 401 and 402 are two sets of three-dimensional image data acquired from different angles from a same part of tissue and organ, in this embodiment, CT data of the same modality (may also be data such as ultrasound or MRI) or two sets of data of any modality, a spatial transformation relationship between the two sets of three-dimensional image data is determined after registration mapping, and the CT data is transformed into the same spatial coordinate system to find a one-to-one corresponding position of each pixel, then, a spatial plane is specified, a screenshot is generated by interpolation, where the spatial plane and two sets of three-dimensional volume data after registration intersect each other, and the sections shown in the screenshot and 404 are corresponding intersecting sections obtained in the two sets of three-dimensional image data, because the two sets of three-dimensional data are subjected to registration operation, the tangent plane under the same coordinate system is transformed back into each image coordinate system through coordinate inversion, the relative slice positions obtained in the two sets of three-dimensional data are not the same, but the contents in the sectional images are consistent.
Further, the two registered intersecting section images obtained by analysis are different in the two-dimensional intersecting section shapes obtained because the spatial shapes of the three-dimensional cubes during acquisition are not necessarily the same, and the intersecting positions of the same spatial plane after the two cubes are registered are also different, for example, even if the intercepted image contents in the intersecting sections 403 and 404 of the three-dimensional images are partially the same, the coordinate positions of the same contents in the two-dimensional images are not corresponding one by one, and it can be seen that the two intersecting images 405 shown in fig. 3 are placed in the same spatial coordinate system after being registered, and the two intersecting images overlap in a partial region.
In this embodiment, to ensure the one-by-one correspondence of the image contents in the two slices according to the pixel positions, the two images are interpolated and enlarged to the same scale according to the same scaling ratio; and then, taking a certain standard frame size as a displayed effective region reference range, taking a dotted line rectangular frame in 405 as a final interested region reference range of the intersected section image, respectively cutting registration overlapped partial image regions of two sections according to the frame size, removing partial images beyond the effective range of the reference frame, and filling and registering missing parts of the intersected sections which are not overlapped in the reference frame range with background colors.
Further, the size of the standard frame of the region of interest may be selected by setting and modifying according to the display requirement of the image window, for example, using a circumscribed rectangle of the shape of the superimposed region after the registration of two intersecting cross sections as a reference, or using the size of one of the cross section images as a reference range, etc.
However, the method for determining the size of the display frame is not limited to the method for determining the size of the display frame, and the design concept of clipping and scaling to the same standard frame in the present embodiment is described herein by the transformation operation between two sets of three-dimensional data, but the method of the present embodiment is only described for the purpose of accurately describing the method, but the method is not limited to the analysis transformation between two sets of data, and may be used for the display processing between two or more sets of data.
The tangent planes 406 and 407 shown in fig. 3 are intersecting tangent planes 403 and 404, which are cut and spliced according to the reference range of interest set by the dotted line in this embodiment, and finally two generated tangent plane images are reconstructed, where the two images have the same frame size, so as to obtain the corresponding tangent planes in the images of different paths, and through registration, the effective contents in the images are in one-to-one correspondence according to the pixel positions, and the positions of the center points of the images are identical.
Finally, in step 106, the different section images can be correspondingly displayed in different sub-windows, and each sub-window switches to display the section images from different paths of image data located in the same spatial plane. The "switching display" here means that a slice image from one path of image data is displayed at a certain timing in one sub-window, and a slice image from the other path of image data is displayed in the same sub-window after a predetermined time has elapsed or when a switching instruction is received.
For example, in some embodiments, a plurality of parallel equally spaced sectional image sequences obtained from the same image data are sequentially distributed to each sub-window, the outlines of a plurality of divided target regions may be displayed in a semi-transparent mask layer, for example, in a pseudo-color and/or shadow and/or edge-hooking manner, superimposed and fused on the sub-window image, and the change of the divided target regions in the image of the same window is conveniently observed by comparing the outline shape of the semi-transparent mask layer with the corresponding position in the image.
Furthermore, the outlines of the different divided target areas can be distinguished by adopting different colors;
further, the transparency of the translucent mask layer can be adjusted;
furthermore, a plurality of sub-windows are displayed side by side in a matrix mode, and the number of the sub-windows can be adjusted;
in this embodiment, the multi-path image data includes at least two paths of three-dimensional image data, a plurality of sub-windows simultaneously display different section positions of the same group of image data, and section images at the same registration position in different groups of image data are alternately displayed in the same sub-window, the section images have the same size, and each pixel position corresponds to each other.
For example, in some embodiments, different sections of the same path of image data are simultaneously displayed in the side-by-side sub-windows, and the same sub-window correspondingly displays the same section position, so that the volume characteristic of the three-dimensional volume data can be embodied by simultaneously displaying different section images through a plurality of sub-windows, and the comparison of the subtle differences between the displayed images in the same sub-window is facilitated by rapidly switching the image data of different paths.
Furthermore, a labeling operation is carried out on the image of any sub-window, and the result of the labeling operation is synchronously mapped and reflected on all matched image sequences of the same sub-window, so that after one image is labeled, repeated labeling is not needed in other images of the image corresponding to the section position, the difference of each image is convenient to compare, the design is reasonable, and the operation is simple;
further, the labeling operation includes measurement, tracing, and the like;
further, the sets of image data are any set of image data combinations from different modalities and different time phases, so that the analysis method of the embodiment can combine any data of different modalities and time phases, and perform comprehensive analysis by using characteristics of different imaging data types.
The following describes a specific practical application of the medical image analysis method of the present invention:
in a practical application case, the ablation operation treatment of the tumor needs to judge the completion effect of the interventional ablation operation treatment, and by adopting the analysis method of the embodiment, image data of two tumor tissue regions at different times before and after the operation, such as CT three-dimensional image data, can be introduced, firstly, the image data before and after the operation is registered, a registration mapping relation is established, then, one path of image data before the operation is selected, the tumor tissue is segmented, contour characteristic data of a target tumor region is extracted, the target tumor region is mapped into the other path of image data after the operation through the established registration relation, then, a spatial plane position is designated, the registered corresponding position is found in the two paths of image data and the contour characteristic data, and a tangent plane which is respectively intersected with the two paths of image data after the registration is generated through interpolation, and other tangent planes parallel to the space plane are generated according to a preset distance, then a plurality of parallel tangent plane image sequences obtained by the same path of image data are sequentially distributed to each sub-window, a target tumor area before operation is overlapped and fused in a tangent plane image after operation by a pseudo-color marker, so that the original outline information of the tumor can be observed in the image tangent plane after operation, whether the range of the pseudo-color area is really and completely covered by an ablation focus can be observed, whether the tumor is completely ablated can be judged, and two paths of images are contrasted and observed by integrally switching the tangent plane images of each sub-window, and the image data of the same sub-window corresponding to the same slicing position, namely the change condition of the tissue images before and after operation, so that the comparison of the fine difference of the preoperative image and the postoperative image is convenient.
In another practical application case, the growth condition of the lesion needs to be periodically reviewed in the tumor treatment process, and imaging of a tumor target region needs to be acquired each time.
In another practical application case, in an ultrasound image of liver tissue, before contrast agent perfusion, a vascular structure presents a low-echo black lumen shape, the liver tissue is highlighted with high echo, when contrast agent fills a blood vessel, the contrast agent enhances vascular echo, and blood flow in the blood vessel is also highlighted, at this time, the blood flow is difficult to distinguish from an image area of the liver tissue, at this time, by adopting the analysis method of the embodiment, two image data before and after contrast agent perfusion are introduced, the spatial coordinate positions of the introduced two image data are registered, a corresponding registration relationship is established, then blood vessels in a tissue image before contrast agent perfusion (or a contrast mode image at the time of contrast agent filling) are segmented, a target blood vessel area is registered and mapped into the image data after contrast agent perfusion, and a spatial plane is designated to generate a sectional image, because the ultrasonic image is a two-dimensional slice image, the spatial plane is actually the section position of the ultrasonic image in the embodiments, then the contour of the blood vessel is superimposed and fused into the tissue mode image after the perfusion of the contrast agent in the forms of pseudo color and the like, and is displayed in a window, so that the imaging of the blood vessel can be more conveniently seen, the display of the tumor tissue area after the injection of the contrast agent is clearer, and the observation of whether the blood vessel supplies blood to the tumor tissue and the like is more facilitated.
However, the specific application of the analysis method of the present embodiment is not limited to the above three types, and the target tissue organs in the multi-channel images may be segmented as needed and displayed in different colors in the respective registered images.
The medical image analysis method of the embodiment adopts a mode of displaying different section images by a plurality of sub-windows, so that different sections of a three-dimensional target area can be displayed simultaneously, the defect that the volume characteristics of three-dimensional data cannot be reflected by a double-window side-by-side display and superposition fusion display mode in the prior art is overcome, simultaneously, the slight difference among different images is expressed by adopting a mode of a semitransparent shade of the target area and a mode of quickly switching section images at the same position of different paths of image data, the slight difference after the images in the same mode or different modes are registered and the spatial corresponding position relation of a target tissue structure in the images in different modes and time phases can be quickly and effectively observed, and the comparative analysis is convenient.
Example two
In the present embodiment, the plurality of sets of image data include at least one set of two-dimensional image data and one set of three-dimensional image data,
therefore, in step 106, the section corresponding to the position of the two-dimensional image data is displayed in one of the sub-windows, and the remaining sections parallel to the section are displayed in the other sub-windows.
For example, the two-dimensional real-time section of the ultrasonic image and the three-dimensional image data of the CT can be found out in the three-dimensional image data of the CT corresponding to the section position of the ultrasonic two-dimensional real-time section by the analysis method of the invention, and the section corresponding to the section position of the ultrasonic two-dimensional real-time section is displayed in one of the plurality of sub-windows, if the position of the input two-dimensional section is changed, the section image corresponding to the two-dimensional section position in the three-dimensional image data is also changed, the difference between the ultrasonic image and the CT image corresponding to the section of the two-dimensional image can be observed by switching, and the region with clear imaging in the CT image can be segmented and superposed into the ultrasonic image, thereby effectively utilizing the characteristics of different imaging equipment data types to carry out the disease analysis
EXAMPLE III
In this embodiment, the multi-path image data is two sets of two-dimensional image data, and by using the analysis method of this embodiment, a clear tissue organ in one path of data is segmented, and the target region is mapped to another two-dimensional image in a registered manner, and the contour of the target region is displayed in a window in an edge-hooking manner or a semi-transparent mask manner.
Example four
In this embodiment, at least three paths of three-dimensional image data are imported, so that during the image registration and segmentation process, a repeated registration operation may be adopted to register multiple paths of image data, the segmented target region may also be selected from multiple three-dimensional image data, and the segmented target regions are registered and mapped to each registered image, and the processing process is similar to that in the first embodiment, and is not described herein again.
EXAMPLE five
A medical image analysis system of this embodiment, includes:
a data acquisition unit: the image data acquisition device is used for importing a plurality of paths of image data;
an image registration unit: registering the space coordinate positions of the imported image data of different paths, and establishing a registration relation;
a target region dividing unit: selecting one path or multiple paths of image data, and dividing one or more target areas in each path of image data;
a fusion unit: extracting the characteristics of the segmented target region, and mapping the target region to other images according to the registration relation;
section generation unit: appointing a spatial plane position, and generating a tangent plane image from the registered image;
a display unit: and correspondingly displaying the section images at different positions in different sub-windows, wherein each sub-window switches and displays the section at the same position from different paths of data.
The method comprises the steps of dividing a target region into a plurality of sub-window images, wherein the step of extracting the characteristics of the divided target region comprises the step of extracting contour characteristic data or volume data of the target region, and the contour characteristic data is displayed on each sub-window image in a superimposed and fused mode in a pseudo-color mode, a shadow mode or a side-pointing mode.
Further, the section generating unit finds a corresponding registered position in the multi-path image data and the contour feature data according to the position of the designated plane, and interpolates to generate slice sections where the space plane and the registered multi-path image data intersect respectively.
Furthermore, the plurality of paths of image data comprise at least two paths of three-dimensional image data, and in the display unit, a plurality of sub-windows simultaneously display different section positions of the same path of image data;
the plurality of paths of image data comprise at least one path of two-dimensional image data and one path of three-dimensional image data, in the display unit, a section corresponding to the position of the two-dimensional image data is displayed in one of the sub-windows, and other sections parallel to the section are correspondingly displayed in other sub-windows.
Further, in the display unit, the section images at the same registration position in each path of image data are switched and displayed in the same sub-window, the section images have the same size and the same resolution, and each pixel position corresponds to each other.
Further, a plurality of the sub-windows are displayed side by side on the screen in a matrix array manner, the sequence of arrangement and combination can be modified arbitrarily according to needs, and the parallel section, that is, the number of the sub-windows is limited by the size of the screen, and can be adjusted according to the requirement of the image size, for example, 1, 3 × 3, 4 × 4, and the like can be set.
As shown in fig. 4, a display unit interface of the medical image analysis system of this embodiment is displayed, each sub-window is arranged in a main area according to a square matrix, each generated parallel section image is sequentially displayed in each sub-window, meanwhile, an intersection indication line window of each sub-window display section can be set, a positional relationship between each section image and original three-dimensional image data is displayed, and the intersection indication line window is placed at a side of the square matrix of the sub-windows, for example, as shown by 502, the intersection indication line window is displayed below the sub-window, and can be represented in an intersection form of three orthogonal position sections of the volume data, or a position of a section plane is marked in a three-dimensional shape rendering image.
As shown in fig. 5, the display unit of this embodiment, following the principle that the same data source image is displayed in different windows and the same plane image is displayed in the same window, sequentially allocates the parallel-cut-plane image sequence 611 obtained from the same three-dimensional volume data 601 to each sub-window 621, when switching images, sequentially allocates the parallel-cut-plane image sequence 612 obtained from the other three-dimensional volume data 602 to each sub-window 621, integrally replaces the original one-path image data, and the cut-plane positions of the two paths of image data corresponding to the same sub-window are the same and are matched one by one according to the pixel position, so that the images can be displayed at the same pixel position on the screen when switching images, and the image jitter phenomenon during the switching process is avoided.
In the embodiment of the present invention, when the section image is switched to display, the switching may be automatic switching of the ultrasound imaging system, for example, switching of image display is started at regular intervals; switching may also be performed according to an input instruction of a user, for example, when the user inputs and clicks a predefined "switch" button or clicks a trackball or a mouse on a sub-window in a single click or double click manner, switching of image display is initiated, that is, the current display of each sub-window is switched from displaying a section image obtained according to one path of three-dimensional volume data (for example, the aforementioned three-dimensional volume data 601) to displaying a section image obtained according to another path of three-dimensional volume data (for example, the aforementioned three-dimensional volume data 602).
Further, the system further includes an interactive operation unit, configured to perform a labeling operation on the image of any sub-window, where the result of the labeling operation is mapped and reflected on all the matched images of the same sub-window synchronously, and the multiple registered images can be freely switched at the same position on the screen in response to an image switching command input by a user through the setting of the interactive unit, and labeling information can be made on the images, and labeling information made on any image, such as a tissue segmentation template, a measurement label, etc., can be mapped and reflected on all the matched image sequences of the same window synchronously, for example, as shown in 622 in fig. 5, two matched images in the sub-window No. 2 show the segmented bone tissue at the same registered position, and the region is unchanged when the tissue images are switched, so that it can be shown that tissue structures such as tumor, blood vessel, etc., are in different phases, and, Changes in images of different modalities.
Further, the image data of the plurality of paths are any combination of image data of different modes, different phases and different dimensions.
Therefore, the medical image analysis system of the embodiment can realize matching and superposition of multi-path image data, can realize free combination between a two-dimensional image and a three-dimensional image, switching and superposition of images in different time phases, for example, contrast analysis of preoperative and postoperative images, and superposition display of different imaging technologies, for example, fusion of a common tissue image, a Doppler blood flow diagram and a contrast image; therefore, useful information in each image can be comprehensively utilized; moreover, fusion display of images in different modes realizes combination of images such as ultrasound, MRI, CT and the like, so that the diagnostic method of the iconography is richer, uniform contrast analysis for combining various image data can be obtained, the method is accurate and visual, and only the minimized space and time expenditure is needed.
EXAMPLE six
A medical imaging apparatus of this embodiment includes the medical imaging system of the fifth embodiment, which has all the features and advantages of the medical imaging system described above, and details are not repeated herein.
It should be understood that the above examples are only for clarity of illustration and are not intended to limit the embodiments. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. And obvious variations or modifications therefrom are within the scope of the invention.
Claims (13)
1. A medical image analysis method is characterized by comprising the following steps:
receiving a plurality of paths of image data;
registering the received multiple paths of image data, and establishing a registration relation among the multiple paths of image data;
selecting one or more paths of image data from the plurality of paths of image data, and dividing one or more target areas from one path of image data in the selected one or more paths of image data;
mapping the target area to other path image data according to the registration relation;
generating a plurality of tangent plane images of the registered paths of image data on a plurality of specified space planes according to the registered paths of image data;
correspondingly displaying the section images on different space planes in the plurality of section images in different sub-windows, and switching and displaying the section images on the same space plane in the plurality of section images in the same sub-window, wherein the plurality of paths of image data comprise at least two paths of three-dimensional image data or at least one path of two-dimensional image data and one path of three-dimensional image data;
when the plurality of paths of image data comprise at least two paths of three-dimensional image data, the step of correspondingly displaying the section images positioned on different spatial planes in the plurality of section images in different sub-windows comprises:
sequentially distributing section images of the same path of three-dimensional image data on different spatial planes to each sub-window, and sequentially distributing section images of the other path of three-dimensional image data on different spatial planes to each sub-window when switching images, so that the original path of image data is integrally replaced, and the section positions of two paths of image data corresponding to the same sub-window are the same;
when the plurality of paths of image data include at least one path of two-dimensional image data and one path of three-dimensional image data, the step of correspondingly displaying the section images on different spatial planes in the plurality of section images in different sub-windows includes: displaying a section image corresponding to the position of the two-dimensional image data in one of the sub-windows, and correspondingly displaying each section image in the three-dimensional image data parallel to the section image corresponding to the position of the two-dimensional image data in other sub-windows;
and when the position of the two-dimensional image data is detected to be changed, updating and displaying the section image corresponding to the position of the two-dimensional image data, and updating each section image in the three-dimensional image data displayed in other sub-windows simultaneously according to the changed position of the two-dimensional image data.
2. The medical image analysis method according to claim 1, further comprising: extracting features of the segmented target region, wherein the extracting features of the segmented target region comprises extracting contour feature data or volume data of the target region.
3. The medical image analysis method according to claim 2, further comprising:
and overlapping and fusing the contour characteristic data or the volume data on the section images in each sub-window in a pseudo-color, shadow or edge-hooking mode.
4. The method for medical image analysis according to claim 3, wherein generating a plurality of slice images of the registered paths of image data on a designated plurality of spatial planes from the registered paths of image data comprises:
and finding out the registered corresponding position in the plurality of paths of image data and the contour characteristic data or the volume data according to the appointed space plane position, and interpolating to generate images of the slice sections which are respectively intersected with the space plane and the registered plurality of paths of image data.
5. The medical image analysis method according to claim 1, further comprising: receiving the labeling operation performed on the image of any sub-window, and synchronously mapping the result of the labeling operation to all section images displayed in the same sub-window.
6. The method for medical image analysis according to claim 1, wherein the plurality of image data are image data of different modalities or image data of different phases.
7. A medical image analysis system, comprising:
a data acquisition unit: receiving a plurality of paths of image data;
an image registration unit: registering the received multiple paths of image data, and establishing a registration relation among the multiple paths of image data;
a target region dividing unit: selecting one or more paths of image data from the plurality of paths of image data, and dividing one or more target areas from one path of image data in the selected one or more paths of image data;
a fusion unit: mapping the target area to other path image data according to the registration relation;
section generation unit: generating a plurality of tangent plane images of the registered paths of image data on a plurality of specified space planes according to the registered paths of image data;
a display unit: correspondingly displaying the section images on different space planes in the plurality of section images in different sub-windows, and switching and displaying the section images on the same space plane in the plurality of section images in the same sub-window, wherein the plurality of paths of image data comprise at least two paths of three-dimensional image data or at least one path of two-dimensional image data and one path of three-dimensional image data;
when the plurality of paths of image data comprise at least two paths of three-dimensional image data, the section images of the same path of three-dimensional image data on different space planes are sequentially distributed into each sub-window in the display unit, and when the images are switched, the section images of the other path of three-dimensional image data on different space planes are sequentially distributed into each sub-window, so that the original path of image data is integrally replaced, and the section positions of the two paths of image data corresponding to the same sub-window are the same;
when the plurality of paths of image data comprise at least one path of two-dimensional image data and one path of three-dimensional image data, in the display unit, a section image corresponding to the position of the two-dimensional image data is displayed in one of the sub-windows, and each section image in the three-dimensional image data parallel to the section image corresponding to the position of the two-dimensional image data is correspondingly displayed in other sub-windows;
and when the position of the two-dimensional image data is detected to be changed, updating and displaying the section image corresponding to the position of the two-dimensional image data, and updating each section image in the three-dimensional image data displayed in other sub-windows simultaneously according to the changed position of the two-dimensional image data.
8. The medical image analysis system according to claim 7, wherein the fusion unit further extracts features of the segmented target region, and wherein extracting features of the segmented target region includes extracting contour feature data or volume data of the target region.
9. The medical image analysis system according to claim 8, wherein the contour feature data or the volume data is displayed on each sub-window image in a superimposed and fused manner by using a pseudo color, a shadow, or a hook edge.
10. The medical image analysis system according to claim 9, wherein the slice generation unit finds a corresponding position of registration in the plurality of paths of image data and the contour feature data or the volume data according to a specified spatial plane position, and interpolates to generate an image of a slice cross section where the spatial plane intersects with the plurality of paths of image data after registration, respectively.
11. The medical image analysis system of claim 7, further comprising an interactive operation unit, configured to receive an annotation operation performed on the image in any one of the sub-windows, and map the result of the annotation operation to all the sectional images displayed in the same sub-window synchronously.
12. The medical image analysis system according to claim 7, wherein the plurality of channels of image data are image data of different modalities or image data of different phases.
13. A medical imaging apparatus, comprising the medical image analysis system according to any one of claims 7 to 12.
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