WO2017020580A1

WO2017020580A1 - Medical tissue slice image 3d reconstruction method and apparatus

Info

Publication number: WO2017020580A1
Application number: PCT/CN2016/074260
Authority: WO
Inventors: 王佳; 刘静静; 田广野; 陈永健
Original assignee: 青岛海信医疗设备股份有限公司
Priority date: 2015-08-03
Filing date: 2016-02-22
Publication date: 2017-02-09
Also published as: CN106408648A

Abstract

An embodiment of the present invention provides a medical tissue slice image 3D reconstruction method and apparatus, for solving the problem in which it is difficult to accurately perform 3D reconstruction of discontinuously displayed tissue and patchy tissue and quickly differentiate the same from other tissues. The medical tissue slice image 3D reconstruction method comprises: drawing edges of the medical tissue in slice images having clear edges of a group of slice images of the medical tissue; filling in regions surrounded by the drawn edges of the medical tissue in the slice images; extracting, from the filled-in slice images, every two equal-value surfaces of spatially adjacent slice images, and respectively generating display surface pieces; and joining the generated equal-value surfaces of the display surface pieces and obtaining a 3D image of the medical tissue. The present invention is suitable for the technical field of medical imaging and display.

Description

Method and device for three-dimensional reconstruction of slice image of medical organization

This application claims priority to Chinese Patent Application No. 201510481588.1, entitled "Method and Apparatus for 3D Reconstruction of Slice Images of Medical Organizations", filed on August 3, 2015, the entire contents of which are hereby incorporated by reference. The citations are incorporated herein by reference.

Technical field

The invention relates to the technical field of display of medical images, in particular to a method and a device for three-dimensional reconstruction of slice images of medical tissues.

Background technique

Traditional CT (Computer Tomography, CT for short) scanning is limited to two-dimensional image display, and the expression of information depends largely on the level of experience of doctors. With the development of computer technology and the promotion of digital medicine, image-based 3D reconstruction (English: 3D Reconstruction) is widely used in surgery, such as preoperative planning, surgical simulation and preoperative risk assessment. 3D reconstruction refers to the establishment of a mathematical model suitable for computer representation and processing of three-dimensional objects, that is, the basis for processing, manipulating and analyzing the properties of three-dimensional objects in a computer environment, and also the key technology for establishing virtual reality in the objective world. .

The inferior vena cava and non-homogeneous tumors are two very important tissues, and doctors knowing the details of these two tissues is extremely important for doctors to plan their surgery. For example, for the inferior vena cava, the doctor needs to know in detail the erosion of the inferior vena cava by the diseased tissue; for example, for non-homogeneous tumors, doctors need to obtain detailed tumor volume, as well as tumors and surrounding tissues such as liver, blood vessels, etc. relationship.

Traditional three-dimensional reconstruction methods include: mathematical morphology methods, region generation methods, level set methods, and Hessian Matrix methods. The mathematical morphology method is used to analyze the intrinsic geometry of the image; the region generation method can be extended by a single feature point to divide the entire region with similar characteristics; the level set method can realize the active contour model; the black matrix method Can be used to achieve a prominent target area. These methods are specific to the question Sometimes the problem is not used alone.

However, when the above-mentioned conventional three-dimensional reconstruction method is used to reconstruct the inferior vena cava and non-homogeneous tumors, it cannot be accurately and quickly distinguished from other tissues. Specifically: for the inferior vena cava, due to human metabolism and CT imaging principles, the inferior vena cava can only determine its spatial position in continuous CT images, and according to different periods of CT images, the inferior vena cava is on the image. The brightness of the display is different, and even the contrast agent is not in the scanning position at the scanning time, so that the blood vessel cannot be observed, which is caused by the faster flow velocity of the inferior vena cava and the larger diameter of the vena cava of the inferior vena cava. The situation is more common in CT images. For non-homogeneous tumors, the shape of black and white plaques will appear in the sliced images. The traditional 3D reconstruction method can not automatically distinguish the edges of non-homogeneous tumors by using existing algorithms. Tumors with blood vessels, cysts, etc. inside the tumor are also common, so it is difficult to distinguish them from other tissues quickly and accurately.

Summary of the invention

Embodiments of the present invention provide a method and a device for three-dimensional reconstruction of a slice image of a medical tissue, which are difficult to quickly and accurately distinguish it from other tissues when performing three-dimensional reconstruction on intermittently displayed tissue and plaque tissue. The problem that comes.

In order to achieve the above object, embodiments of the present invention adopt the following technical solutions:

In a first aspect, an embodiment of the present invention provides a method for three-dimensional reconstruction of a sliced image of a medical tissue, including:

Drawing an edge of the medical tissue in a sharply sliced slice image of a set of sliced images of the medical tissue;

Filling each of the rendered slice images with the edge enclosed by the edge of the medical tissue;

Extracting an isosurface of two slice images adjacent to each other in the filled slice image to generate a display patch;

The isosurfaces of the generated display patches are spliced to obtain a three-dimensional image of the medical tissue.

With reference to the first aspect, in a first possible implementation manner of the embodiment of the present invention, for the first slice image, drawing the medical tissue edge in the first slice image includes:

Receiving at least three points entered by the user,

According to the three-spline interpolation algorithm, each of the two adjacent points of the at least three points are respectively connected by an arc to form a closed curve to form a medical tissue edge in the first slice image.

With reference to the first aspect, in a second possible implementation manner of the embodiment of the present invention, for the first slice image, drawing the medical tissue edge in the first slice image includes:

Receiving the first point and the second point input by the user;

Taking a first point input by the user as a center, a circle is drawn with a distance between the first point and the second point to form a medical tissue edge in the first slice image.

With reference to the first aspect, in a third possible implementation manner of the embodiment of the present invention, the first slice image and the second slice image that are drawn are extracted for the spatially adjacent first slice image and the second slice image. The isosurface, the generated display patch includes:

The rendered isoforms of the first slice image and the second slice image are extracted by the Marching Cubes algorithm to generate a display patch.

With reference to the third possible implementation manner, in a fourth possible implementation manner of the embodiment of the present invention, the first slice image that is drawn is extracted for the spatially adjacent first slice image and the second slice image And generating the display patch by the isosurface of the second slice image further includes:

Receiving an image operation instruction input by the user on the display patch;

The image operation instruction is executed on the display patch according to the image operation instruction, and the image operation instruction includes selection, scaling, translation, and rotation of the medical image.

With reference to the first aspect, in a fifth possible implementation manner provided by the embodiment of the present invention, before the splicing the isosurface of the generated display patch to obtain the three-dimensional image of the medical tissue, the method further The method includes: streamlining and smoothing the display patch.

In conjunction with the first aspect, in a sixth possible implementation manner provided by the embodiment of the present invention, the medical tissue is an inferior vena cava or a non-homogeneous tumor.

In a second aspect, an embodiment of the present invention provides an image processing apparatus, including:

a drawing unit for drawing an edge of the medical tissue in the edge-sharp slice image of the set of slice images of the medical tissue;

a filling unit for filling each of the drawn slice images with an edge enclosed by the medical tissue;

a generating unit, configured to extract an isosurface of two slice images adjacent to each two spaces in the filled slice image, respectively, to generate a display patch;

And a display unit, configured to splicing the isosurfaces of the generated display patches to obtain a three-dimensional image of the medical tissue.

With reference to the second aspect, in a first possible implementation manner of the embodiment of the present invention, the drawing unit includes:

a first receiving module, configured to receive at least three points input by a user;

The first processing module, according to the three-spline interpolation algorithm, respectively connects each two adjacent points of the at least three points with an arc to form a closed curve to form a medical tissue edge in the first slice image.

With reference to the second aspect, in a second possible implementation manner of the embodiment of the present invention, the drawing unit includes:

The drawing unit includes:

a second receiving module, configured to receive first and second points input by the user;

a second processing module, configured to use a first point of the user input as a center, and draw a circle with a distance between the first point and the second point to form a medical organization in the first slice image edge.

With reference to the second aspect, in a third possible implementation manner of the embodiment of the present invention, the generating unit is specifically configured to extract, by using a Marching Cubes algorithm, an isosurface of the first slice image and the second slice image that are drawn, Generate a display patch.

With reference to the third possible implementation manner of the embodiment of the present invention, in a fourth possible implementation manner of the embodiment of the present invention, the generating unit further includes:

a third receiving module, configured to receive an image operation instruction input by the user on the display patch;

And an execution module, configured to execute the image operation instruction on the display patch according to the image operation instruction, where the image operation instruction includes selecting, scaling, panning, and rotating the medical image.

With reference to the first aspect, in a fifth possible implementation manner of the embodiment of the present invention, before the display unit, the device further includes:

And a processing unit, configured to streamline and smooth the display patch.

A method for three-dimensional reconstruction of a slice image of a medical tissue according to an embodiment of the present invention, by drawing a side of a medical tissue in a slice image of a sharp slice in a set of slice images of a medical tissue Filling the image of the edge of the medical tissue with each slice image, by drawing the edge of the medical tissue, the medical tissue to be reconstructed can be identified from the slice image for subsequent extraction, etc. The value plane generates a display patch and improves the accuracy of the three-dimensional reconstruction, extracts the isosurfaces of the two slice images adjacent to each of the two spatially drawn slice images, respectively generates a display patch, and the generated display patch The isosurface is spliced to obtain a three-dimensional image of the medical tissue, so that by constructing a two-dimensional slice image, the edge is drawn, and the two-dimensional slice image is connected by the three-dimensional reconstruction method by extracting the isosurface of the two-dimensional slice image, which can be accurately Quickly presenting the three-dimensional visualization result of the actual structural information and spatial information of the sliced image in the human body, and solving the traditional three-dimensional reconstruction method cannot quickly and accurately display the human tissue from the sliced image showing intermittent display or plaque Bottlenecks for effective processing, for doctors to learn more about the structural information of such organizations and Weave relations with neighboring organizations provide important help.

DRAWINGS

In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only some of the present invention. For the embodiments, those skilled in the art can obtain other drawings according to the drawings without any creative work.

1 is a hardware structural diagram of an image processing device according to an embodiment of the present invention;

2 is a schematic flowchart 1 of a method for three-dimensional reconstruction of a sliced image of a medical tissue according to Embodiment 1 of the present invention;

3 is a schematic flow chart 2 of a method for three-dimensional reconstruction of a sliced image of a medical tissue according to Embodiment 1 of the present invention;

4 is a schematic flowchart 3 of a method for three-dimensional reconstruction of a sliced image of a medical tissue according to a first embodiment of the present invention;

5 is a schematic flow chart of a method for three-dimensional reconstruction of a lower vena cava by using a method for three-dimensional reconstruction of a sliced image of a medical tissue according to a second embodiment of the present invention;

6a-6e are schematic diagrams of a three-dimensional reconstruction method of a sliced image of a medical tissue for three-dimensional reconstruction of a lower vena cava according to a second embodiment of the present invention;

7 is a schematic flow chart of a three-dimensional reconstruction method of a sliced image of a medical tissue for three-dimensional reconstruction of a non-homogeneous tumor according to a third embodiment of the present invention;

8a-8b are schematic diagrams of a three-dimensional reconstruction method of a sliced image of a medical tissue for three-dimensional reconstruction of a non-homogeneous tumor according to a third embodiment of the present invention;

FIG. 9 is a schematic structural diagram 1 of an image processing apparatus according to Embodiment 4 of the present invention; FIG.

FIG. 10 is a schematic structural diagram 2 of an image processing apparatus according to Embodiment 4 of the present invention; FIG.

FIG. 11 is a schematic structural diagram 3 of an image processing apparatus according to Embodiment 4 of the present invention.

detailed description

The technical solutions in the embodiments of the present invention are clearly and completely described in the following with reference to the accompanying drawings in the embodiments of the present invention. It is obvious that the described embodiments are only a part of the embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative efforts are within the scope of the present invention.

In order to facilitate the clear description of the technical solutions of the embodiments of the present invention, in the embodiments of the present invention, the words "first", "second" and the like are used to distinguish the same or similar items whose functions and functions are substantially the same, in the field. The skilled person can understand the words "first", "second" and the like and limit the number and execution order.

The method of the embodiment of the present invention may be performed by an image processing apparatus. Referring to FIG. 1, FIG. 1 shows a hardware diagram of an image processing apparatus including one or more (only one shown in the figure) processing. The device 101, the memory 102, the user interface 103, the communication bus 104, and the display screen 105. It will be understood by those of ordinary skill in the art that the structure shown in FIG. 1 is merely illustrative and does not limit the structure of the image processing apparatus 10. For example, the image processing apparatus 10 may further include more or less components than those shown in FIG. 1, or have a different configuration than that shown in FIG.

The communication bus 104 is used for communication between the various components in the image processing apparatus 10. The user interface 103 is used to plug in external devices, such as a mouse and a keyboard, to receive information input by the user.

The display screen 105 is used to display the slice image, the medical tissue after the three-dimensional reconstruction of the slice image, and the image and image changes involved in the intermediate processing.

The memory 102 can be used to store software programs as well as modules, databases, as in the present invention The determination in the embodiment requires drawing a method of drawing the medical organization and a program instruction/module corresponding to the device. Memory 102 can include high speed random access memory and can also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid state memory. In some examples, memory 102 can further include memory remotely located relative to processor 101, which can be coupled to image processing device 10 over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.

The processor 101 executes various functional applications and data processing by running software programs and modules stored in the memory 102, for example, by calling the application in the memory 102 that determines that the drawing method of the medical organization needs to be drawn, Achieving a fast and accurate determination requires drawing a test case for a medical organization.

Embodiment 1

An embodiment of the present invention provides a method for three-dimensional reconstruction of a slice image of a medical tissue. As shown in FIG. 2, the method for three-dimensional reconstruction includes:

S101. Draw an edge of the medical tissue in a sharply sliced slice image in a set of slice images of a medical tissue.

Among them, the slice image refers to the use of a computer imaging device to obtain a two-dimensional sequence digital tomographic image in the human body and its internal organs, and provides a diagnosis and treatment to the doctor through a clear human body structure and a detailed two-dimensional sequence digital tomographic image of the case information, for example, The slice image may include a CT (Computed Tomography) image or an MRI (Magnetic Resonance Imaging) image, which is not limited in the present invention. For exemplary purposes only, the slice image selected by the embodiment of the present invention is a CT image.

In the embodiments of the present invention, medical organization refers to an organic cell population having a certain function and structure. Preferably, the medical tissue in the embodiment of the invention is an inferior vena cava or a non-homogeneous tumor.

Among them, the edge of medical organization usually means that the two sides of the medical organization belong to two regions, and the characteristics inside each region are relatively uniform and uniform, and there are certain differences in the characteristics between the two regions.

In the embodiment of the present invention, the slice image with clear edges in the slice image refers to a medical tissue edge that can be segmented in a group of slice images and other medical organizations. Separate slice images.

Usually, in a group of sliced images, for a tissue, some of the sliced images have clear tissue edges and some tissue edges are unclear. In S101, the processed object is only for the slice image with sharp edges. The slice image with clear edges may be selected from a group of slice images by various methods. For example, the user may select according to his own judgment or may select according to a certain algorithm, and the process does not affect the realization of the object of the present invention. This embodiment of the present invention does not limit this.

The edge of the medical tissue is drawn in the slice image displayed on the display, with the specific lines identifying the edges of the medical tissue to distinguish it from other tissues.

In the embodiment of the present invention, the edge of the medical tissue can be drawn in various ways, and no specific limitation is imposed herein. Wherein, since the processing principle and the process for each slice image are the same, here, only the first slice image is taken as an example, and the first slice image refers to any one of the selected slice images with sharp edges. Does not have a special meaning.

For example, in a possible implementation manner, as shown in FIG. 3, step S101 specifically includes a1-a2:

A1, receiving at least three points input by the user;

A2. According to the three-spline interpolation algorithm, each of two adjacent points of at least three points are respectively connected by an arc to form a closed curve to form a medical tissue edge in the first slice image.

For example, the first slice image may be displayed on a display screen, and at least three point sampling points input by the user are obtained through a user interface, and the processor receives at least three user input according to a three-spline interpolation algorithm (Spline). The curves between the points are connected by a three-spline interpolation to form a closed curve and displayed in the display, that is, the drawing of the medical tissue edge in the first slice image is completed. Of course, in order to facilitate the subsequent processing and the user's viewing, the first slice image after the drawing of the tissue edge is completed may also be saved. For example, you can save after taking a double-click operation entered by the user.

At the same time, in order to obtain an image with better effect, the closed curve is adjusted by the user interface to obtain the user dragging at least three sampling points.

In another possible implementation manner, as shown in FIG. 4, step S101 specifically includes a3-a4:

A3, receiving the first point and the second point input by the user;

A4, taking a first point input by the user as a center, and drawing a circle with a distance between the first point and the second point as a radius to form a medical tissue edge in the first slice image.

For example, the first slice image may be displayed on the display screen, and the first point and the second point input by the user are sequentially obtained through the user interface, and the processor obtains the first point as the center, the first point and the second point. The distance between the points is a radius circled to form a medical tissue edge in the first slice image and displayed in the display screen, ie the rendering of the medical tissue edge in the first slice image is completed. Of course, in order to facilitate the subsequent processing and the user's viewing, the first slice image after the drawing of the tissue edge is completed may also be saved. For example, you can save after taking a double-click operation entered by the user.

At the same time, in order to obtain an image with better effect, the input operation of the user dragging the circular curve is obtained through the user interface to adjust.

S102. Fill each of the drawn slice images with an area enclosed by the edge of the medical tissue.

Wherein, by drawing the edge enclosing area of the medical tissue, the medical tissue to be reconstructed can be identified from the slice image, thereby facilitating subsequent extraction of the isosurface to generate the display patch and improving the accuracy of the three-dimensional reconstruction, for example, for non- Uniform tumors, because of the appearance of black and white plaques in two-dimensional slice images, tumors that appear in the non-homogeneous tumors such as blood vessels, cysts, etc. are also more common, by drawing the edge of the medical tissue Quickly and accurately distinguish it from other organizations, improve the extraction of isosurfaces, and generate accurate display patches, thus improving the accuracy of subsequent 3D reconstruction.

S103. Extract an isosurface of two slice images adjacent to each other in the filled slice image to generate a display patch.

Wherein, spatial proximity means that the two slice images are spatially closest and the features are similar.

Wherein, the isosurface refers to the volume data as a sampling set of a certain physical property in a certain spatial region, and the value at the non-sampling point is estimated by interpolation of the sampling values at the adjacent sampling points, then the space A collection of all points in a region that have a certain value of the same value will define one or more surfaces.

Further, a possible implementation manner for step S103 is: using the Marching Cubes algorithm (a surface rendering processing algorithm commonly used in image processing three-dimensional display) The drawn isosurfaces of the first slice image and the second slice image are extracted to generate a display patch.

Since the obtained display patch has a spatial position deviation and scaling from the position of the real tissue, the display patch is adjusted according to the spatial position and the separation distance of the tissue image (the original CT image) generated by the display patch.

Further, the display patch is adjusted, and specifically includes the following steps a5-a6:

A5. Receive an image operation instruction input by the user on the display patch;

A6. Perform the image operation instruction on the display patch according to an image operation instruction.

Wherein, the image operation instruction may include selection, scaling, translation, and rotation of the medical image.

For example, in practical applications, when generating a display patch, the Marching Cubes algorithm simply fits the space between each two adjacent spatially sliced images, in order to obtain a better-performing display patch, and reduce the display surface. There is spatial position deviation and scaling between the slice and the real tissue. The display patch that needs to be adjusted is selected by obtaining the user input selection command. In order to make the displayed display patch more realistic, according to the actual distance of the original CT image in the spatial position. Obtaining a zoom instruction input by the user to scale the display patch so that the display patch fits the actual spatial distribution of the original CT image, or in order to make the display patch conform to the actual position of the space, the translation instruction input by the user is obtained according to the original The spatial position of the CT image spatially moves the display patch.

S104. Splicing the isosurfaces of the generated display patches to obtain a three-dimensional image of the medical tissue.

Further, in order to improve the efficiency of the three-dimensional reconstruction and the display effect of the final three-dimensional image, before the step S104, the three-dimensional reconstruction method further includes: performing thinning processing and smoothing processing on the display patch.

Among them, the streamlining process refers to the use of the face reduction algorithm (Triangle Reduction) to merge some of the triangles, reducing the number of triangles and improving the display effect.

Among them, the smoothing process improves the visual effect of the display patch by removing noise.

In a possible implementation manner, the thinning process uses a vertex merging method to combine several small display patches located in a rectangular block of length, width, and height into one large display surface. a piece, the length, width, and height parameters of the rectangular block are adjustable, and the display patches in the rectangular block are sequentially read, and then judged one by one, if only one vertex of the three vertices of the display patch is in the rectangular block, The display patch is retained; if two of the three vertices of the display patch are within the rectangular block, one edge between the two vertices is retained; if the three vertices of the display patch are all in a rectangle Inside the block, the three vertices of the display patch are reduced to one point, and all the rectangular blocks are combined with the triangular patch;

In a possible implementation manner, the smoothing process adopts Laplacian smoothing technology, and sets a certain number of iterations, and reduces the surface noise by adjusting the position of the point, and the surface drawing is smoother. Calculate the normal of each point on the grid, and select the Gauther coloring algorithm to realize the illumination smoothing of the triangle patch.

It should be noted that the higher the number of iterations of the smoothing operation, the better the smoothing effect and the slower the speed. The present invention does not limit this. In actual operation, the corresponding number of iterations can be set according to the smoothing effect that needs to be obtained.

It should be noted that, in practical applications, the steps S103 and S104 of the present invention may be performed after all the slice images are drawn in step S101, or may be executed after performing the step S103 after each two spatially adjacent slice images are drawn in step S101. S104, the present invention does not limit this, and the user can perform according to actual needs.

In a practical application, a set of slice images with sharp edges is obtained, and the slice images are recorded as a slice image 1, a slice image 2, a slice image N, ... in the order in which the slice images are spatially adjacent.

For example, the medical tissue edge of the slice image 1 and the slice image 2 may be first drawn, and then the area enclosed by the edge of the medical tissue of the sliced image 1 and the slice image 2 is filled, and the filled slice image 1 and the slice image 2 are extracted. The isosurfaces of the slice images adjacent to the middle space respectively generate a display patch; then the medical tissue edges of the image three are sliced; the image of the edge of the medical tissue surrounded by the post-image image is filled, and the filled slice image is extracted. The isosurfaces of the spatially adjacent slice images in the second and third slice images respectively generate a display patch; the display patches generated according to the slice image one and the slice image two are generated according to the slice image two and the third slice image The isosurface of the display patch is spliced to obtain a three-dimensional image of the medical tissue, and the generation of the three-dimensional image of the slice image four to the slice image N is similar to the above method, and the present invention will not be described herein.

Or drawing an edge of the medical tissue in each slice image of all the edges of the set of slice images of the medical tissue; then filling all of the sliced images of the edge of the medical tissue with the extracted image, extracting the padding The isosurfaces of the spatially adjacent slice images in the subsequent slice images respectively generate display patches; the isosurfaces of the generated display patches are spliced to obtain a three-dimensional image of the medical tissue.

It should be noted that the foregoing is only two achievable modes, and does not affect the implementation of the object of the present invention, and therefore does not constitute any limitation to the embodiments of the present invention.

A method for three-dimensional reconstruction of a slice image of a medical tissue according to an embodiment of the present invention, by drawing an edge of a medical tissue in each slice image of a set of slice images of a medical tissue, filling each slice image drawn The area enclosed by the edge of the medical organization; the medical tissue to be reconstructed can be identified from the slice image, which facilitates subsequent extraction of the isosurface in the slice image, generates a display patch and improves the accuracy of the three-dimensional reconstruction, and extracts the drawn An isosurface of two slice images adjacent to each other in the slice image respectively generates a display patch, and splices the isosurfaces of the generated display patch to obtain a three-dimensional image of the medical tissue, thereby establishing The two-dimensional slice image is drawn on the edge of the tissue, and the two-dimensional slice image is spatially connected by the three-dimensional reconstruction method by extracting the isosurface of the two-dimensional slice image, which can accurately and quickly represent the actual structure information and spatial information of the slice image organization in the human body. 3D visualization results, solving the traditional 3D reconstruction method can not be fast and accurate It presented its intermittent display from human tissue or plaque effectively address the bottleneck of slice images, information for doctors to learn more about the structure and organization of this type of relationship with the surrounding tissue organizations provide important help.

Embodiment 2

In the present embodiment, the following vena cava is taken as an example, and a method for three-dimensional reconstruction of a slice image of a medical tissue is specifically described. In this embodiment, the original set of inferior vena cava has about 300 CT images, and fifteen CT images that can clearly distinguish the tissue margin of the inferior vena cava are obtained, and the CT images of the fifteen inferior vena cava will be obtained. According to the spatial adjacent order, it is recorded as the inferior vena cava CT image, the inferior vena cava CT image II, the inferior vena cava CT image three... the inferior vena cava CT image fifteen.

As shown in FIG. 5, the specific steps of the three-dimensional reconstruction method of the sliced image of the medical tissue for the three-dimensional reconstruction of the inferior vena cava provided by the embodiment of the present invention are as follows:

S201, drawing an edge of the inferior vena cava in the inferior vena cava CT image 1 and the inferior vena cava CT image 2;

For example, as shown in FIG. 6a, the inferior vena cava CT image 1 can be displayed on the display screen. As shown in FIG. 6b, at least three point sampling points input by the user are acquired through the user interface, and the processor interpolates according to the three-type spline. The algorithm (Spline) connects the curves between the at least three points of the received user input by three-spline interpolation to form a closed curve, as shown in FIG. 6c, and the closed curve is displayed in the display after being drawn. That is, the drawing of the medical tissue edge in the image of the inferior vena cava CT image is completed. As shown in Fig. 6d, after the curve is drawn, the user enters the "display" operation, the curve is saved, the curve disappears on the display screen, and then the inferior vena cava CT image is drawn: of course, in order to facilitate the subsequent processing and the user The view can also save the first slice image after the drawing of the tissue edge is completed.

S202, filling the area of the inferior vena cava CT image and the inferior vena cava CT image of the inferior vena cava.

S203. Extracting the isosurface of the inferior vena cava CT image 1 and the inferior vena cava CT image 2 to generate a display patch.

S204. Perform thinning processing and smoothing processing on the display patch.

S205: splicing the isosurfaces of the generated display patches to obtain a three-dimensional image of the inferior vena cava, as shown in FIG. 6e;

It should be noted that after the inferior vena cava CT image and the inferior vena cava CT image are generated to display the patch, the present invention can use the steps S201 and S202 to generate the inferior vena cava CT image three display patch, and then the inferior vena cava CT. The image 1 and the inferior vena cava CT image are generated to display the isosurface of the patch to be spliced, and the isosurface of the inferior vena cava CT image generating display patch and the inferior vena cava CT image 3 are spliced. The three-dimensional image of the inferior vena cava is obtained, and the principle and method for generating the three-dimensional image of the inferior vena cava CT image four to the inferior vena cava CT image are similar, and the present invention will not be repeated herein. It should be noted that when the isosurface is spliced, the display patch generated by splicing each of the inferior vena cava CT images and the display patch generated by the adjacent inferior vena cava CT image are used to acquire the inferior vena cava. 3D image.

A method for three-dimensional reconstruction of a slice image of a medical tissue provided by an embodiment of the present invention, Filling the edge of the inferior vena cava with each CT image drawn by drawing the edge of the inferior vena cava in each CT image in a set of CT images of the inferior vena cava; extracting the drawn CT image The isosurfaces of two CT images adjacent to each of the two spaces respectively generate a display patch, and splicing the isosurfaces of the generated display patches to obtain a three-dimensional image of the inferior vena cava due to human metabolism and CT imaging For reasons such as the principle, the inferior vena cava is difficult to distinguish from the surrounding tissue. In a continuous CT image, the spatial position can only be judged, and according to the different periods of the CT image, the display of the inferior vena cava on the image is different, and there may even be When the tissue is occluded, the blood vessels cannot be observed. By establishing the two-dimensional CT image tissue edge rendering, by extracting the isosurface of the two-dimensional slice image, the two-dimensional slice image is spatially connected by the three-dimensional reconstruction method, and the slice image can be accurately and quickly presented. The three-dimensional visualization results of the actual structural information and spatial information in the human body are solved, and the traditional three-dimensional reconstruction method cannot be solved quickly. And accurately presented its intermittent display from human tissue or plaque effectively address the bottleneck of slice images, information for doctors to learn more about the structure and organization of this type of relationship with the surrounding tissue organizations provide important help.

Embodiment 3

As shown in FIG. 7 , a method for three-dimensional reconstruction of a slice image of a medical tissue provided by an embodiment of the present invention is applied to three-dimensional reconstruction of a non-homogeneous tumor as an example.

Specific steps are as follows:

In this embodiment, a non-homogeneous tumor is taken as an example, and a method for three-dimensional reconstruction of a sliced image of a medical tissue is specifically described. In this embodiment, the original CT image of a group of non-homogeneous tumors is about 200 sheets, and ten CT images of the tissue margins of the non-homogeneous tumors are clearly selected, and the CT images of the ten non-homogeneous tumors are obtained according to the space. The adjacent sequences are respectively recorded as non-homogeneous tumor CT images, non-homogeneous tumor CT images, non-homogeneous tumor CT images three... non-homogeneous tumor CT images ten.

S301. Draw an edge of the non-homogeneous tumor in a sharp-edged CT image in a set of CT images of a non-homogeneous tumor;

S302. Fill a region of the edge of the non-homogeneous tumor with each CT image drawn.

S303. Extract two CT images adjacent to each two spaces in the filled CT image. The isosurfaces are generated to display the patches.

S304. Perform thinning processing and smoothing processing on the display patch.

S305. Splicing the isosurfaces of the generated display patches to obtain a three-dimensional image of the non-homogeneous tumor.

Exemplarily, FIG. 8 provides an experimental example for three-dimensional reconstruction of a non-homogeneous tumor by using a method for three-dimensional reconstruction of a sliced image of a medical tissue according to an embodiment of the present invention. FIG. 8 is a block diagram of FIG. The display interface of the homogeneous tumor CT image in the image processing apparatus, it can be seen from Fig. 8a that the spatial three-dimensional structure of the non-homogeneous tumor is similar to a relatively smooth sphere, and the non-homogeneous tumor CT image shown in Fig. 8a is located. The tumor is located in the middle of the tumor, and the liver is located in the lower left of the tumor. It can be seen that although the overall gray scale of the tumor is lower than that of the liver located at the lower left side of the tumor, the internal darkness of the tumor is staggered, and the edge of the tumor can be judged by the naked eye. 8b is a three-dimensional reconstructed display interface of a set of non-homogeneous tumor CT images in an image processing apparatus, and the image located in the lower right corner of the image is a three-dimensionally reconstructed tissue image of the present invention, and the generated tissue image is located at the upper left. The two-dimensional tissue image comparison of the non-homogeneous tumor of the angle shows that the tissue image obtained by the three-dimensional reconstruction of the present invention fits closely with the tumor edge in the two-dimensional tissue image recognized by the naked eye.

A method for three-dimensional reconstruction of a slice image of a medical tissue according to an embodiment of the present invention, by drawing an edge of a non-homogeneous tumor in each CT image with a sharp edge in a set of CT images of a non-homogeneous tumor, filling each of the drawn images CT image image enclosing the edge of the non-homogeneous tumor; extracting the isosurfaces of two CT images adjacent to each of the spatially located CT images, respectively generating a display patch, and the generated display patch The isosurface is spliced to obtain a three-dimensional image of the non-homogeneous tumor, so that the two-dimensional CT image is constructed by edge-forming, and the two-dimensional slice image is spatially connected by the three-dimensional reconstruction method by extracting the isosurface of the two-dimensional slice image. The three-dimensional visualization result corresponding to the actual structural information and the spatial information of the sliced image tissue in the human body can be accurately and quickly presented, and the traditional three-dimensional reconstruction method cannot quickly and accurately display the sliced image from the intermittent display or the plaque. The bottleneck of effective treatment of human tissue, for doctors to understand the structural information of such organizations and the relationship between tissues and surrounding organizations Provided important help.

Embodiment 4

An embodiment of the present invention provides an image processing apparatus, as shown in FIG. The built equipment includes:

a drawing unit 401, configured to draw an edge of the medical tissue in each slice image with a sharp edge in a set of slice images of the medical tissue;

a filling unit 402, configured to fill an area enclosed by the edge of the medical tissue of each slice image drawn;

a generating unit 403, configured to extract an isosurface of two slice images adjacent to each of two spaces in the filled slice image, and respectively generate a display patch;

The display unit 404 is configured to splicing the isosurfaces of the generated display patches to obtain a three-dimensional image of the medical tissue.

Optionally, as shown in FIG. 10, the drawing unit 401 includes:

The first receiving module 401A1 is configured to receive at least three points input by the user;

The first processing module 401A2, according to the three-spline interpolation algorithm, respectively connecting each adjacent two points of the at least three points with an arc to form a closed curve, forming a medical tissue edge in the first slice image .

Optionally, as shown in FIG. 10, the drawing unit 401 includes:

The second receiving module 401B1 is configured to receive the first point and the second point that the user inputs in succession;

a second processing module 401B2, configured to use a first point input by the user as a center, and draw a circle with a distance between the first point and the second point to form a medicine in the first slice image Organizational edge.

Optionally, the generating unit 403 is specifically configured to extract the isosurfaces of the first slice image and the second slice image that are drawn by using a Marching Cubes algorithm to generate a display patch.

Optionally, as shown in FIG. 10, the generating unit 403 further includes:

The third receiving module 4031 is configured to receive an image operation instruction input by the user on the display patch;

The executing module 4032 is configured to execute the image operation instruction on the display patch according to the image operation instruction, where the image operation instruction includes selecting, scaling, panning, and rotating the medical image.

Optionally, as shown in FIG. 11, the three-dimensional reconstruction device 40 further includes:

The processing unit 405 is configured to streamline and smooth the display patch.

In this way, the drawing unit is used to draw the edge of the medical tissue, the filling unit fills the area enclosed by the edge of the drawn medical tissue, and the generating unit extracts two slice images of each two adjacent spaces in the filled slice image. The isosurfaces respectively generate display patches, and the display unit is configured to splicing the isosurfaces of the generated display patches to obtain a three-dimensional image of the medical tissue. In this way, by constructing a two-dimensional slice image to organize the edge drawing, by extracting the isosurface of the two-dimensional slice image and spatially connecting the two-dimensional slice image through the three-dimensional reconstruction method, the actual structural information of the slice image tissue in the human body can be accurately and quickly presented. The 3D visualization result corresponding to the spatial information solves the bottleneck that the traditional 3D reconstruction method cannot quickly and accurately process the human tissue from the intermittently displayed or plaque sliced image. The doctor understands the structure of such tissue in detail. Information and the relationship between the organization and surrounding organizations provide important assistance.

The above is only a specific embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of changes or substitutions within the technical scope of the present invention. It should be covered by the scope of the present invention. Therefore, the scope of the invention should be determined by the scope of the appended claims.

Claims

A method for three-dimensional reconstruction of a slice image of a medical tissue, comprising:

Drawing an edge of the medical tissue in a sharply sliced slice image of a set of sliced images of the medical tissue;

Filling each of the rendered slice images with the edge enclosed by the edge of the medical tissue;

Extracting an isosurface of two slice images adjacent to each other in the filled slice image to generate a display patch;

The isosurfaces of the generated display patches are spliced to obtain a three-dimensional image of the medical tissue.
The method according to claim 1, wherein for the first slice image, drawing the medical tissue edge in the first slice image comprises:

Receiving at least three points entered by the user,

According to the three-spline interpolation algorithm, each of the two adjacent points of the at least three points are respectively connected by an arc to form a closed curve to form a medical tissue edge in the first slice image.
The method according to claim 1, wherein the isosurfaces of the first slice image and the second slice image are extracted for the spatially adjacent first slice image and the second slice image, and generated Display patches include:

The rendered isoforms of the first slice image and the second slice image are extracted by the Marching Cubes algorithm to generate a display patch.
The method according to claim 3, wherein said extracting the isosurfaces of said first slice image and said second slice image for spatially adjacent first slice image and second slice image , generating a display patch also includes:

Receiving an image operation instruction input by the user on the display patch;

The image operation instruction is executed on the display patch according to the image operation instruction, and the image operation instruction includes selection, scaling, translation, and rotation of the medical image.
The method according to claim 1, wherein before the merging the isosurfaces of the generated display patch to obtain the three-dimensional image of the medical tissue, the method further comprises: displaying the display surface The slices are streamlined and smoothed.
The method of claim 1 wherein the medical tissue is an inferior vena cava or a non-homogeneous tumor.
An image processing device, comprising:

a drawing unit for drawing a sharp cut of a set of slice images of the medical tissue The edge of the medical tissue in the slice image;

a filling unit for filling each of the drawn slice images with an edge enclosed by the medical tissue;

a generating unit, configured to extract an isosurface of two slice images adjacent to each two spaces in the filled slice image, respectively, to generate a display patch;

And a display unit, configured to splicing the isosurfaces of the generated display patches to obtain a three-dimensional image of the medical tissue.
The device according to claim 7, wherein the drawing unit comprises:

a first receiving module, configured to receive at least three points input by a user;

The first processing module, according to the three-spline interpolation algorithm, respectively connects each two adjacent points of the at least three points with an arc to form a closed curve to form a medical tissue edge in the first slice image.
The apparatus according to claim 7, wherein the generating unit is specifically configured to extract the rendered isosurfaces of the first slice image and the second slice image by using a Marching Cubes algorithm to generate a display patch.
The device according to claim 9, wherein the generating unit further comprises:

a third receiving module, configured to receive an image operation instruction input by the user on the display patch;

And an execution module, configured to execute the image operation instruction on the display patch according to the image operation instruction, where the image operation instruction includes selecting, scaling, panning, and rotating the medical image.
The device according to claim 7, wherein before the display unit, the device further comprises:

And a processing unit, configured to streamline and smooth the display patch.