WO2022000730A1 - Procédé et système d'acquisition de centre de gravité du cœur sur la base d'une image de séquence de tomodensitométrie - Google Patents

Procédé et système d'acquisition de centre de gravité du cœur sur la base d'une image de séquence de tomodensitométrie Download PDF

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Publication number
WO2022000730A1
WO2022000730A1 PCT/CN2020/110018 CN2020110018W WO2022000730A1 WO 2022000730 A1 WO2022000730 A1 WO 2022000730A1 CN 2020110018 W CN2020110018 W CN 2020110018W WO 2022000730 A1 WO2022000730 A1 WO 2022000730A1
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WIPO (PCT)
Prior art keywords
gravity
center
heart
obtaining
dimensional data
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PCT/CN2020/110018
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English (en)
Chinese (zh)
Inventor
冯亮
王之元
刘广志
陈韵岱
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苏州润迈德医疗科技有限公司
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Publication of WO2022000730A1 publication Critical patent/WO2022000730A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration
    • G06T5/40—Image enhancement or restoration using histogram techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/136—Segmentation; Edge detection involving thresholding
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/10—Segmentation; Edge detection
    • G06T7/187—Segmentation; Edge detection involving region growing; involving region merging; involving connected component labelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/60—Analysis of geometric attributes
    • G06T7/66—Analysis of geometric attributes of image moments or centre of gravity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2200/00—Indexing scheme for image data processing or generation, in general
    • G06T2200/04—Indexing scheme for image data processing or generation, in general involving 3D image data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/10—Image acquisition modality
    • G06T2207/10072—Tomographic images
    • G06T2207/10081—Computed x-ray tomography [CT]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30004—Biomedical image processing
    • G06T2207/30048—Heart; Cardiac

Definitions

  • the present invention relates to the technical field of coronary medicine, in particular to a method and system for obtaining the center of gravity of a heart based on CT sequence images.
  • Cardiovascular disease is the leading cause of death in the industrialized world.
  • the major form of cardiovascular disease is caused by the chronic accumulation of fatty substances in the inner tissue layers of the arteries supplying the heart, brain, kidneys and lower extremities.
  • Progressive coronary artery disease restricts blood flow to the heart. Due to the lack of accurate information provided by current non-invasive tests, many patients require invasive catheter procedures to evaluate coronary blood flow. Therefore, there is a need for a non-invasive method for quantifying blood flow in human coronary arteries to assess the functional significance of possible coronary artery disease. A reliable assessment of arterial volume will therefore be important for treatment planning addressing the patient's needs.
  • hemodynamic properties such as fractional flow reserve (FFR) are important indicators for determining optimal treatment for patients with arterial disease. Routine assessment of fractional flow reserve uses invasive catheterization to directly measure blood flow properties, such as pressure and flow rate. However, these invasive measurement techniques present risks to patients and can result in significant costs to the health care system.
  • FFR fractional flow reserve
  • Computed tomography arterial angiography is a computed tomography technique used to visualize arterial blood vessels.
  • a beam of X-rays is passed from a radiation source through a region of interest in the patient's body to obtain projection images.
  • the present invention provides a method and system for obtaining the center of gravity of the heart based on CT sequence images, so as to solve the problems in the prior art that the center of gravity of the heart cannot be obtained from the CT data or the method for obtaining the center of gravity of the heart is complicated.
  • the present application provides a method for obtaining the center of gravity of a heart based on CT sequence images, including:
  • the center of gravity of the heart is obtained according to the three-dimensional data.
  • the above-mentioned method for obtaining the center of gravity of the heart based on the CT sequence image includes:
  • CT three-dimensional data is obtained from the two-dimensional data.
  • the method for obtaining the center of gravity of the heart according to the three-dimensional data includes:
  • the center of gravity of the heart was obtained according to the volume ratio of each area to the total area in the grayscale histogram.
  • the method for obtaining the center of gravity of the heart according to the volume ratio of each region to the total region of the grayscale histogram includes:
  • b represents a constant, 0.2 ⁇ b ⁇ 1.
  • the b 0.6.
  • the present application provides a system for obtaining the center of gravity of the heart based on CT sequence images, which is used for the above-mentioned method for obtaining the center of gravity of the heart based on the CT sequence images, including: a CT data acquisition device and a heart center of gravity extraction device connected to each other;
  • the CT data acquisition device is used to acquire three-dimensional data of CT sequence images
  • the cardiac center of gravity extraction device is connected to the CT data acquisition device, and is used for acquiring the cardiac center of gravity according to the three-dimensional data.
  • the CT data acquisition device includes: a picture collector, a two-dimensional data extraction device, and a three-dimensional data synthesis device connected in sequence;
  • the picture collector is used to obtain a plurality of CT two-dimensional pictures
  • the two-dimensional data extraction device is used to obtain two-dimensional data of the CT two-dimensional image
  • the three-dimensional data synthesis device is used for obtaining CT three-dimensional data according to the two-dimensional data.
  • the device for extracting the center of gravity of the heart includes: a grayscale histogram unit and a center of gravity extraction unit connected in sequence;
  • the grayscale histogram unit is connected to the two-dimensional data extraction device, and is used for drawing a grayscale histogram of the CT image according to the CT two-dimensional data;
  • the centroid extraction unit is used for obtaining the heart centroid according to the volume ratio of each area to the total area of the grayscale histogram.
  • the center of gravity extraction unit includes: a gray value volume extraction structure, a gray value volume calculation structure, and a center of gravity extraction structure connected in sequence;
  • the grayscale value volume extraction structure of each region is connected to the grayscale histogram unit, and is used to sequentially acquire points M to M-1 points along the direction from the end point M to the origin O of the grayscale histogram, and M Point to point M-2 until the volume of each gray value area from point M to point O is obtained;
  • the gray value volume calculation structure is used to obtain the volume ratio V of the volume of each gray value region to the total region from point M to point O;
  • the physical center of gravity of the three-dimensional image of the heart region is the center of gravity of the heart P 2 ; where b represents a constant, 0.2 ⁇ b ⁇ 1.
  • the present application provides a computer storage medium, and when the computer program is executed by the processor, the above-mentioned method for obtaining the center of gravity of a heart based on a CT sequence image is implemented.
  • the present application provides a method for obtaining the center of gravity of the heart based on CT sequence images, which is a new method for obtaining the center of gravity of the heart, and has the advantages of fast and accurate extraction and fast calculation speed.
  • FIG. 1 is a flowchart of the method for obtaining the center of gravity of the heart based on CT sequence images of the present application
  • Fig. 2 is the flow chart of S1000 of this application.
  • Fig. 3 is the flow chart of S2000 of this application.
  • FIG. 5 is a structural block diagram of the system for obtaining the center of gravity of the heart based on CT sequence images of the present application
  • FIG. 6 is another structural block diagram of the system for obtaining the center of gravity of the heart based on CT sequence images of the present application;
  • CT data acquisition device 100 picture collector 110, 2D data extraction device 120, 3D data synthesis device 130, cardiac center of gravity extraction device 200, grayscale histogram unit 210, center of gravity extraction unit 220, grayscale value volume extraction structure of each region 221 , the gray value volume calculation structure 222 , the center of gravity extraction structure 223 .
  • CT data in the prior art is not screened, resulting in a large amount of computation, slow computation speed and inaccurate computation.
  • the present application provides a method for obtaining the center of gravity of the heart based on CT sequence images, as shown in FIG. 1 , including:
  • the present application provides a method for obtaining the center of gravity of the heart based on CT sequence images, which is a new method for obtaining the center of gravity of the heart, and has the advantages of fast and accurate extraction and fast calculation speed.
  • the present application provides a system for obtaining the center of gravity of the heart based on CT sequence images, which is used for the above-mentioned method for obtaining the center of gravity of the heart based on the CT sequence images, including: a CT data acquisition device 100 connected to each other and the center of gravity of the heart The extraction device 200; the CT data acquisition device 100 is used for acquiring three-dimensional data of CT sequence images; the cardiac center of gravity extraction device 200 is connected with the CT data acquisition device 100, and is used for acquiring the cardiac center of gravity according to the three-dimensional data.
  • the CT data acquisition device 100 includes: a picture collector 110 , a two-dimensional data extraction device 120 , and a three-dimensional data synthesis device 130 connected in sequence; the picture collector 110 is used for acquiring multiple two-dimensional CT pictures; the two-dimensional data extraction device 120 is used to obtain the two-dimensional data of the CT two-dimensional pictures; the three-dimensional data synthesis device 130 is used to obtain the CT three-dimensional data according to the two-dimensional data.
  • the apparatus 200 for extracting the center of gravity of the heart includes: a grayscale histogram unit 210 and a center of gravity extraction unit 220 connected in sequence; the grayscale histogram unit 210 and the two-dimensional data extraction device 120 The connection is used to draw the grayscale histogram of the CT image according to the CT two-dimensional data; the center of gravity extraction unit 220 is used to obtain the center of gravity of the heart according to the volume ratio of each area to the total area of the grayscale histogram.
  • the center of gravity extraction unit 220 includes: a gray value volume extraction structure 221 , a gray value volume calculation structure 222 and a center of gravity extraction structure 223 connected in sequence;
  • the value volume extraction structure 221 is connected to the grayscale histogram unit 210, and is used for sequentially acquiring points M to M-1, and M to M-2 along the direction from the end point M to the origin O of the grayscale histogram, Until the volume of each gray value area from point M to point O is obtained;
  • the gray value volume calculation structure 222 is used to obtain the volume ratio V of each gray value area to the total area from point M to point O;
  • the physical center of gravity of the image is the center of gravity P 2 of the heart;
  • the present application provides a computer storage medium, and when the computer program is executed by a processor, the above-mentioned method for obtaining the center of gravity of a heart based on a CT sequence image is implemented.
  • aspects of the present invention may be embodied as a system, method or computer program product. Accordingly, various aspects of the present invention may be embodied in the form of an entirely hardware implementation, an entirely software implementation (including firmware, resident software, microcode, etc.), or a combination of hardware and software aspects, It may be collectively referred to herein as a "circuit,” "module,” or “system.” Furthermore, in some embodiments, various aspects of the present invention may also be implemented in the form of a computer program product on one or more computer-readable media having computer-readable program code embodied thereon. Implementation of the method and/or system of embodiments of the present invention may involve performing or completing selected tasks manually, automatically, or a combination thereof.
  • a data processor such as a computing platform for executing a plurality of instructions.
  • the data processor includes volatile storage for storing instructions and/or data and/or non-volatile storage for storing instructions and/or data, such as a magnetic hard disk and/or a Move media.
  • a network connection is also provided.
  • a display and/or user input device such as a keyboard or mouse, is optionally also provided.
  • the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium.
  • the computer-readable storage medium can be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or a combination of any of the above. More specific examples (non-exhaustive list) of computer-readable storage media would include the following:
  • a computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.
  • a computer-readable signal medium may include a propagated data signal in baseband or as part of a carrier wave, with computer-readable program code embodied thereon. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the foregoing.
  • a computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device .
  • Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
  • computer program code for performing operations for various aspects of the invention may be written in any combination of one or more programming languages, including object-oriented programming languages such as Java, Smalltalk, C++, and conventional procedural programming languages, such as The "C" programming language or similar programming language.
  • the program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server.
  • the remote computer may be connected to the user's computer through any kind of network - including a local area network (LAN) or a wide area network (WAN) - or may be connected to an external computer (eg using an Internet service provider via Internet connection).
  • LAN local area network
  • WAN wide area network
  • These computer program instructions can also be stored on a computer-readable medium, the instructions cause a computer, other programmable data processing apparatus, or other device to operate in a particular manner, whereby the instructions stored on the computer-readable medium produce a An article of manufacture of instructions implementing the functions/acts specified in one or more blocks of the flowcharts and/or block diagrams.
  • Computer program instructions can also be loaded on a computer (eg, a coronary artery analysis system) or other programmable data processing device to cause a series of operational steps to be performed on the computer, other programmable data processing device or other device to produce a computer-implemented process , such that instructions executing on a computer, other programmable apparatus, or other device provide a process for implementing the functions/acts specified in the flowchart and/or one or more block diagram blocks.
  • a computer eg, a coronary artery analysis system
  • other programmable data processing device to produce a computer-implemented process , such that instructions executing on a computer, other programmable apparatus, or other device provide a process for implementing the functions/acts specified in the flowchart and/or one or more block diagram blocks.

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Abstract

L'invention concerne un procédé et un système permettant l'acquisition du centre de gravité d'un cœur sur la base d'une image de séquence de tomodensitométrie (CT). Le procédé comprend les étapes consistant à : acquérir des données tridimensionnelles d'une image de séquence CT; et acquérir le centre de gravité d'un cœur en fonction des données tridimensionnelles. Le centre de gravité d'un cœur est obtenu en fonction du rapport de volume de chaque zone d'un histogramme en niveaux de gris sur une surface totale de celui-ci, et la présente invention présente l'avantage d'une extraction rapide et précise et de l'effet d'une vitesse de calcul rapide.
PCT/CN2020/110018 2020-06-29 2020-08-19 Procédé et système d'acquisition de centre de gravité du cœur sur la base d'une image de séquence de tomodensitométrie WO2022000730A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010602489.5 2020-06-29
CN202010602489.5A CN111815584B (zh) 2020-06-29 2020-06-29 基于ct序列图像获取心脏重心的方法和系统

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CN115769252A (zh) * 2020-06-29 2023-03-07 苏州润迈德医疗科技有限公司 基于深度学习获取主动脉的方法和存储介质

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1745714A (zh) * 2004-09-09 2006-03-15 西门子公司 利用拓扑信息从三维图像数据中分割解剖结构的方法
CN104619255A (zh) * 2012-09-20 2015-05-13 株式会社东芝 X射线诊断装置以及臂控制方法
US20200046297A1 (en) * 2016-03-21 2020-02-13 International Business Machines Corporation Obtainment of cleaned sequences relating to a center of gravity

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1745714A (zh) * 2004-09-09 2006-03-15 西门子公司 利用拓扑信息从三维图像数据中分割解剖结构的方法
CN104619255A (zh) * 2012-09-20 2015-05-13 株式会社东芝 X射线诊断装置以及臂控制方法
US20200046297A1 (en) * 2016-03-21 2020-02-13 International Business Machines Corporation Obtainment of cleaned sequences relating to a center of gravity

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