CN113693617A - Automatic measuring system and method for focus volume in vivo - Google Patents

Automatic measuring system and method for focus volume in vivo Download PDF

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CN113693617A
CN113693617A CN202110948193.3A CN202110948193A CN113693617A CN 113693617 A CN113693617 A CN 113693617A CN 202110948193 A CN202110948193 A CN 202110948193A CN 113693617 A CN113693617 A CN 113693617A
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杨军
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Third Affiliated Hospital of Kunming Medical University
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Abstract

本发明公开一种体内病灶体积的自动测量系统，包括影像获取系统、影像差异分析系统、病灶轮廓识别系统和病灶体积测量系统，由影像获取系统获取影像并经过影像差异分析系统对病灶与正常组织的差异性识别分析，通过病灶轮廓识别系统识别出整个病灶的轮廓，进而通过病灶体积测量系统精确测量出轮廓内的病灶体积；本发明可以高效、快捷的获取病灶的体积，为临床诊断、治疗提供理论基础，适合医疗机构推广使用。

Figure 202110948193

The invention discloses an automatic measurement system for in vivo lesion volume, including an image acquisition system, an image difference analysis system, a lesion contour identification system and a lesion volume measurement system. It can identify the contour of the entire lesion through the lesion contour identification system, and then accurately measure the lesion volume within the contour through the lesion volume measurement system; the present invention can obtain the volume of the lesion efficiently and quickly, which is useful for clinical diagnosis and treatment. Provide theoretical basis, suitable for medical institutions to promote and use.

Figure 202110948193

Description

Automatic measuring system and method for focus volume in vivo
Technical Field
The invention relates to the technical field of focus volume measurement, in particular to an automatic measurement system and method for focus volume in vivo.
Background
The focus is the diseased part of the body. For example, a certain portion of the lung is destroyed by tubercle bacillus, and this portion is the focus of tuberculosis. A limited diseased tissue with pathogenic microorganisms is called a lesion. Besides the lesions themselves in the human body, they often cause diseases of distant organs.
The measurement of the focus volume has great significance for the health examination of patients and the later diagnosis and treatment, relates to the center of gravity of the whole diagnosis and treatment, and utilizes the three-dimensional image to analyze the three-dimensional shape of the internal structure of the organ along with the development of the medical imaging technology so as to analyze and judge whether diseases exist in the organ and become an auxiliary means for disease diagnosis; that is, the CT technology in the existing imaging technology is used to realize the estimation and measurement of the lesion volume, but there are many defects, such as the difference of CT values generally reflected by the lesion parameters obtained by CT diagnosis, but the lesion volume cannot be obtained quickly in the existing technology.
In summary, the prior art has the following disadvantages: at present, a system and a method for quickly and accurately measuring the volume of a focus in a body are lacked, so that the diagnosis of imaging and subsequent clinical treatment are influenced.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides an automatic measuring system and method for the volume of a focus in vivo, which are used for obtaining a focus outline by analyzing the difference degree of image parameters of a defined position and automatically calculating and measuring the volume of the focus.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
an automatic measuring system for the volume of a focus in vivo comprises an image acquisition system, an image difference analysis system, a focus contour recognition system and a focus volume measuring system, wherein the image acquisition system acquires an image, the image difference analysis system performs difference recognition analysis on the focus and normal tissues, the focus contour recognition system recognizes the contour of the whole focus, and the focus volume measuring system accurately measures the focus volume in the contour;
the medical image acquired by the image acquisition system for medical imaging equipment is original data acquired by CT, and the original data is CT volume data, namely a cross-axis position thin-layer image;
the image difference analysis system comprises a capture system, a CT value determination system and a difference analysis system, wherein the capture system comprises an input module and a tool module, and the input module selects the tool module to define a focus area on the acquired image;
the CT value measuring system measures the CT value based on the circled area, and the measuring formula of the CT value is as follows:
Figure BDA0003217583260000021
the value of mu can be represented by0e-μdIn the formula, mu and muωRespectively, the test object and the water attenuation system,
Figure BDA0003217583260000022
is a calibration factor;
the CT value measuring system measures CT values based on the defined region, the measured CT values have differences in the defined region, the difference analyzing system analyzes the differences among the measured CT values, and the focus region CT values in the defined region are obtained through comparison;
the focus contour recognition system comprises a homonymous diffusion system and a three-dimensional contour recognition system, diffusion recognition is carried out on positions of homonymous CT values in a focus area on the basis of the CT values, the diffused contours are recognized by the three-dimensional contour recognition system after the diffusion is finished, and edge detection and contour extraction are carried out by the three-dimensional contour recognition system;
the focus volume measurement system performs volume measurement through a three-dimensional profile acquired by the focus profile recognition system, and the volume measurement is automatically measured by the focus volume measurement system;
furthermore, the lesion contour recognition system fills and marks lesion regions by different colors on the basis of the CT value, and completely fills and marks the regions with the same CT value according to the same CT value principle.
Furthermore, the focus area of the image difference analysis system is defined as a region in which an area of interest is delineated on a horizontal axis position or a reconstructed coronal position or a reconstructed sagittal position to automatically and quickly measure the volume of the focus.
Another object of the present invention is to provide an automatic lesion volume measuring method based on an automatic in vivo lesion volume measuring system;
the automatic in vivo lesion volume measuring method comprises the following steps:
step 1, acquiring an imaging image
Acquiring medical images through CT and MRI, and leading the acquired medical images into a system;
step 2, analyzing the difference of the images of the delineating area
After the medical image acquired in the step 1 is imported into the system, an operator can select a tool module by using an input module to define a region of a suspected focus on the acquired image, a CT value determination system performs CT value determination based on the defined region, the CT values in the region are inevitably different due to the fact that the defined region is manually operated, and a difference analysis system acquires the CT value of the focus region in the defined region by comparison to finally determine the CT value of the focus region;
step 3. identification of focus contour
After the focus area CT value is determined, performing diffusion identification on the position of the focus area with the CT value, wherein the principle is that filling identification is performed on the position area with the same CT value by different colors, and after filling is completed, a three-dimensional contour identification system identifies and scans the filled focus contour by edge detection and contour extraction;
step 4. automatic measurement of lesion volume
And performing calculation measurement on the volume of the focus by a focus volume measurement system on the focus contour identified based on the three-dimensional contour.
Further, the step 2 analyzes the difference of the CT values in the region by comparing the CT values of the normal tissue and determining the CT value measured in the region different from the normal tissue as the lesion region.
Further, in the automatic in vivo lesion volume measuring method, if there is no difference or the CT value of the lesion region obtained in step 2 is the same as that of the normal tissue, the whole measuring process is finished.
The invention has the beneficial effects that: the invention relates to an automatic measuring system and a method for the volume of a focus in vivo, which obtains a focus outline by analyzing the image parameter difference degree of a delineation position, automatically calculates and measures the volume of the focus, artificially selects a suspected focus position to delineate a region, then identifies and analyzes the difference between the focus and normal tissues by an image difference analysis system, identifies the outline of the whole focus by a focus outline identification system, and further accurately measures the focus volume in the outline by a focus volume measurement system; the device can efficiently and quickly acquire the volume of the focus, simplify the measurement method, reduce the clinical workload, improve the working efficiency, provide a theoretical basis for clinical diagnosis and treatment, and is suitable for popularization and use in medical institutions.
Of course, it is not necessary for any product in which the invention is practiced to achieve all of the above-described advantages at the same time.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic diagram of an automatic in vivo lesion volume measurement system according to an embodiment of the present invention;
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1
An automatic measuring system for the volume of a focus in vivo comprises an image acquisition system, an image difference analysis system, a focus contour recognition system and a focus volume measuring system, wherein the image acquisition system acquires an image, the image difference analysis system performs difference recognition analysis on the focus and normal tissues, the focus contour recognition system recognizes the contour of the whole focus, and the focus volume measuring system accurately measures the focus volume in the contour;
the image acquisition system is a medical image acquired by medical imaging equipment, and comprises images acquired by CT and MRI;
the image difference analysis system comprises a capture system, a CT value determination system and a difference analysis system, wherein the capture system comprises an input module and a tool module, and the input module selects the tool module to define a focus area on the acquired image;
the CT value measuring system measures the CT value based on the circled area, and the measuring formula of the CT value is as follows:
Figure BDA0003217583260000061
the value of mu can be represented by0e-μdIn the formula, mu and muωRespectively, the test object and the water attenuation system,
Figure BDA0003217583260000062
is a calibration factor;
the CT value measuring system measures CT values based on the defined region, the measured CT values have differences in the defined region, the difference analyzing system analyzes the differences among the measured CT values, and the focus region CT values in the defined region are obtained through comparison;
the focus contour recognition system comprises a homonymous diffusion system and a three-dimensional contour recognition system, diffusion recognition is carried out on positions of homonymous CT values in a focus area on the basis of the CT values, the diffused contours are recognized by the three-dimensional contour recognition system after the diffusion is finished, and edge detection and contour extraction are carried out by the three-dimensional contour recognition system;
the lesion volume measurement system performs volume measurement through a three-dimensional contour acquired by the lesion contour recognition system, and the volume measurement is automatically measured by the lesion volume measurement system.
Examples
The automatic in vivo lesion volume measuring method comprises the following steps:
step 1, acquiring an imaging image
The medical image is acquired through CT and MRI, the acquired medical image is guided into the system, and the acquired medical image is acquired through CT and MRI scanning, so that each parameter of the medical image can be accurately acquired;
step 2, analyzing the difference of the images of the delineating area
After the medical image acquired in the step 1 is imported into the system, an operator can select a tool module by using an input module to define a region of a suspected focus on the acquired image, a CT value determination system performs CT value determination based on the defined region, the CT values in the region are inevitably different due to the fact that the defined region is manually operated, and a difference analysis system acquires the CT value of the focus region in the defined region by comparison to finally determine the CT value of the focus region;
analyzing the difference of the CT values in the region, namely, determining the CT value of the region different from the normal tissue as a focus region by comparing the CT value of the normal tissue;
if there is no difference or the CT value is the same as that of the normal tissue, the whole measuring process is finished.
For the delineation of the whole delineation area, the delineation can be carried out by a square or round module according to the module, the delineation mode can be that a reference point is designated, the reference point determines the post-stretching, the stretching direction is four directions, namely front, back, left and right, and the calculation of the next step is started when the operation is not carried out for 3 seconds after the delineation area is selected;
the CT value measuring system measures the CT value based on the circled area, and the measuring formula of the CT value is as follows:
Figure BDA0003217583260000081
the value of mu can be represented by0e-μdIn the formula, mu and muωRespectively, the test object and the water attenuation system,
Figure BDA0003217583260000082
is a calibration factor;
the CT values in the circled area are calculated, and are different inevitably because the selection process is the rough operation, different CT values are displayed respectively when the CT values are calculated, and the CT values of the focus tissues can be obtained by filtering the CT values of the normal tissues after the comparison through the comparison of the CT values;
step 3. identification of focus contour
After the focus area CT value is determined, performing diffusion identification on the position of the focus area with the CT value, wherein the principle is that filling identification is performed on the position area with the same CT value by different colors, and after filling is completed, a three-dimensional contour identification system identifies and scans the filled focus contour by edge detection and contour extraction;
based on filling diffusion marks with the same CT value, the three-dimensional marking is carried out based on medical images in the marking process through a software algorithm of a computer, then edge detection and contour extraction are carried out through a three-dimensional contour recognition system, and a filled three-dimensional focus volume model is obtained after extraction;
step 4. automatic measurement of lesion volume
Calculating and measuring the volume of the focus by a focus volume measuring system on the basis of the focus contour identified by the three-dimensional contour;
calculating the volume of the irregular focus, and automatically generating by computer software;
for the above steps, if the computed CT values within the delineated region are consistent, there are generally two cases: the focus delineating is incomplete or no focus area, and for the situation, the calculation is finished;
of course, the above calculation process is not one-time calculation, and may be calculated after regions of different specifications are defined, and finally an average value is calculated to obtain a volume value of the lesion volume model and the volume value of the volume model.
The technical scheme of the invention is quick to operate, and an operator can calculate and compare the suspected lesion area on the medical image by the system to further obtain a lesion volume model and a numerical value, so that the system is suitable for popularization and use in medical institutions.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.

Claims (5)

1.一种体内病灶体积的自动测量系统，其特征在于：包括影像获取系统、影像差异分析系统、病灶轮廓识别系统和病灶体积测量系统，由影像获取系统获取影像并经过影像差异分析系统对病灶与正常组织的差异性识别分析，通过病灶轮廓识别系统识别出整个病灶的轮廓，进而通过病灶体积测量系统精确测量出轮廓内的病灶体积；1. An automatic measuring system for the volume of a lesion in the body, characterized in that: it comprises an image acquisition system, an image difference analysis system, a lesion outline identification system and a lesion volume measurement system, and the image is acquired by the image acquisition system and the lesions are analyzed by the image difference analysis system. Difference identification and analysis with normal tissue, the contour of the entire lesion is identified through the lesion contour identification system, and then the lesion volume within the contour is accurately measured by the lesion volume measurement system; 所述影像获取系统为医学影像设备获取的医学影像，包括CT、MRI获取的影像；The image acquisition system is medical images acquired by medical imaging equipment, including images acquired by CT and MRI; 所述影像差异分析系统包括捕获系统和“CT”值测定系统、差异分析系统，所述捕获系统包括输入模块和工具模块，输入模块选定工具模块可在获取的影像上圈定病灶区域；The image difference analysis system includes a capture system, a "CT" value determination system, and a difference analysis system, the capture system includes an input module and a tool module, and the input module selects the tool module to delineate the lesion area on the acquired image; 所述“CT”值测定系统基于圈定的区域进行CT值测定，CT值的测定公式为：The "CT" value measurement system performs CT value measurement based on the delineated area, and the CT value measurement formula is:
Figure FDA0003217583250000011
Figure FDA0003217583250000011
 μ值可以通过I＝I0e-μd，式中μ和μω分别为受测物和水的衰减系统，
Figure FDA0003217583250000012
为标定因素；The value of μ can be obtained by I=I 0 e - μd , where μ and μ ω are the attenuation systems of the measured object and water, respectively,
Figure FDA0003217583250000012
is the calibration factor; “CT”值测定系统基于圈定的区域进行CT值测定，测定的CT值在圈定的区域内存在差异，所述差异分析系统分析测定的CT值之间存在的差异，通过对比获取圈定区域内的病灶区域CT值；The "CT" value measurement system performs CT value measurement based on the delineated area, and the determined CT value is different in the delineated area. CT value of the lesion area; 所述病灶轮廓识别系统包括同值扩散系统和三维轮廓识别系统，所述以CT值为基础，在病灶区域内同CT值的位置进行扩散识别，同时扩散完成后由三维轮廓识别系统识别扩散后的轮廓，由三维轮廓识别系统对边缘检测和轮廓提取；The lesion contour identification system includes an equivalent diffusion system and a three-dimensional contour identification system. Based on the CT value, diffusion identification is performed at the position of the same CT value in the lesion area. At the same time, after the diffusion is completed, the three-dimensional contour identification system identifies the after-diffusion. The contour of the 3D contour recognition system is used for edge detection and contour extraction; 所述病灶体积测量系统通过病灶轮廓识别系统获取的三维轮廓进行体积测量，所述体积测量由病灶体积测量系统自动测量。The lesion volume measurement system performs volume measurement through the three-dimensional contour obtained by the lesion contour identification system, and the volume measurement is automatically measured by the lesion volume measurement system. 2.如权利要求1所述的体内病灶体积的自动测量系统，其特征在于：所述病灶轮廓识别系统以CT值为基础，通过不同的颜色填充标识病灶区域，并根据同CT值原则将同一CT值的区域完全填充标识。2. The automatic measurement system for the volume of in-vivo lesions according to claim 1, wherein the lesion contour identification system is based on CT values, and marks the lesion area by filling with different colors, and according to the principle of the same CT value The area of the CT value is completely filled with the logo. 3.如权利要求1-2任意一项所述的基于体内病灶体积的自动测量系统的病灶体积自动测量方法，其特征在于：3. The method for automatic measurement of lesion volume based on the automatic measurement system of in vivo lesion volume according to any one of claims 1-2, wherein: 所述体内病灶体积的自动测量方法，包括以下步骤：The automatic measurement method of the in vivo lesion volume includes the following steps: 步骤1.获取影像学图像Step 1. Acquire imaging images 通过CT、MRI获取的获取医学影像，获取的医学影像导入至系统；Obtain medical images obtained by CT and MRI, and import the obtained medical images into the system; 步骤2.对于圈定区域影像的差异分析Step 2. Difference analysis for delineated area images 由步骤1获取的医学影像，在导入系统后，操作者使用输入模块选定工具模块可在获取的影像上圈定疑似病灶的区域，由“CT”值测定系统基于圈定的区域进行CT值测定，由于圈定区域为人工操作，区域内的CT值必然存在差异，由差异分析系统通过对比获取圈定区域内的病灶区域CT值，最终确定病灶区域CT值；After the medical image obtained in step 1 is imported into the system, the operator can use the input module to select the tool module to delineate the area of suspected lesions on the acquired image, and the “CT” value measurement system will measure the CT value based on the delineated area. Due to the manual operation of the delineated area, there must be differences in the CT values in the area. The difference analysis system obtains the CT value of the lesion area in the delineated area through comparison, and finally determines the CT value of the lesion area; 步骤3.病灶轮廓的识别Step 3. Identification of lesion outlines 确定病灶区域CT值后，在病灶区域内同CT值的位置进行扩散识别，原则为在CT值相同的位置区域以不同颜色进行填充标识，填充完成后由三维轮廓识别系统对边缘检测和轮廓提取将填充的病灶轮廓进行识别和扫描；After the CT value of the lesion area is determined, diffusion identification is performed in the position of the same CT value in the lesion area. The principle is to fill in the area with the same CT value with different colors. Identify and scan the filled lesion outline; 步骤4.病灶体积的自动测量Step 4. Automatic measurement of lesion volume 在基于三维轮廓识别的病灶轮廓，由病灶体积测量系统对病灶的体积进行计算测量。In the lesion contour identified based on the three-dimensional contour, the lesion volume is calculated and measured by the lesion volume measurement system. 4.如权利要求3所述体内病灶体积的自动测量方法，其特征在于：所述步骤2对区域内CT值的差异分析为，通过对比正常组织的CT值，将与正常组织差异的区域测定的CT值定为病灶区域。4. The automatic measuring method of in vivo lesion volume according to claim 3, characterized in that: in the step 2, the difference analysis of the CT value in the area is, by comparing the CT value of the normal tissue, the area different from the normal tissue is measured The CT value was defined as the lesion area. 5.如权利要求3所述体内病灶体积的自动测量方法，其特征在于：所述体内病灶体积的自动测量方法，所述步骤2获取病灶区域CT值如果不存在差异或者与正常组织相同，整个测量过程结束。5. The automatic measurement method of the volume of a lesion in the body according to claim 3, wherein the method for automatic measurement of the volume of a lesion in the body, in the step 2, if there is no difference in the CT value of the lesion area or the same as the normal tissue, the entire volume of the lesion is the same. The measurement process ends.
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CN118898619A (en) * 2024-10-09 2024-11-05 吉林大学第一医院 Breast cancer residual lesion detection method and system based on CT images

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* Cited by examiner, † Cited by third party
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CN114757953A (en) * 2022-06-15 2022-07-15 深圳瀚维智能医疗科技有限公司 Medical ultrasonic image recognition method, equipment and storage medium
CN114757953B (en) * 2022-06-15 2022-11-01 深圳瀚维智能医疗科技有限公司 Medical ultrasonic image recognition method, equipment and storage medium
CN118898619A (en) * 2024-10-09 2024-11-05 吉林大学第一医院 Breast cancer residual lesion detection method and system based on CT images

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