AIF curve extraction system, method and device based on artery segmentation and medium

A technology of curves and arteries, applied in the field of AIF curve extraction system based on arterial segmentation, can solve the problems of limiting Hier's flexibility and robustness, and achieve the effect of strong generalization ability

Active Publication Date: 2021-07-30
深圳市铱硙医疗科技有限公司
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, this method requires a pre-defined voxel extraction mask, which limits the flexibility and robustness of Hier

Method used

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  • AIF curve extraction system, method and device based on artery segmentation and medium
  • AIF curve extraction system, method and device based on artery segmentation and medium
  • AIF curve extraction system, method and device based on artery segmentation and medium

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Embodiment 1

[0038] figure 1 It shows a schematic structural diagram of a system for extracting AIF curves based on artery segmentation provided by the first embodiment of the present invention. The system includes: a blood vessel segmentation module, an aorta positioning module, and an artery input curve selection module. The blood vessel segmentation module It is used to preprocess the original time-density curve, calculate the contrast agent time-density curve and contrast agent peak curve of each vessel voxel, obtain the blood vessel template by threshold segmentation, and extract the contrast agent time-density curve corresponding to the vessel voxel; The aorta positioning module is used to calculate the peak arrival time of each blood vessel voxel through the blood vessel template, obtain the histogram distribution of the peak arrival time, and select the voxel before the cumulative histogram density is the set value as the coarse arterial segmentation result, The arterial template i...

Embodiment 2

[0045] Such as Figure 12 As shown, a flow chart of a method for extracting an AIF curve based on artery segmentation provided in the second embodiment of the present invention is shown. The method includes the following steps:

[0046] S1: Preprocess the original time-density curve, calculate the contrast agent time-density curve and contrast agent peak curve of each vessel voxel, use threshold segmentation to obtain the vessel template, and extract the contrast agent time-density curve corresponding to the vessel voxel.

[0047] Specifically, smoothing filtering and data noise reduction processing are performed on the original time density curve.

[0048] S2: Calculate the peak arrival time of each vessel voxel through the blood vessel template, obtain the histogram distribution of the peak arrival time, select the voxel before the cumulative histogram density is the set value as the coarse segmentation result of the artery, and remove the small blood vessels to obtain the a...

Embodiment 3

[0053] Such as Figure 13 As shown, it shows a schematic structural diagram of an AIF curve extraction device provided by the third embodiment of the present invention, the device includes a processor, an input device, an output device and a memory, and the processor, input device, output device and memory are connected to each other, the memory is used to store a computer program, the computer program includes program instructions, and the processor is configured to call the program instructions to execute the method steps described in the above embodiments.

[0054] It should be understood that in the embodiment of the present invention, the so-called processor may be a central processing unit (Central Processing Unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP), dedicated integrated Circuit (Application Specific Integrated Circuit, ASIC), off-the-shelf programmable gate array (Field-Programm...

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Abstract

The invention discloses an AIF curve extraction system based on artery segmentation, and the system comprises: a blood vessel segmentation module which carries out the preprocessing of an original time density curve, calculates a contrast agent time density curve and a contrast agent peak curve of each blood vessel voxel, obtains a blood vessel template through threshold segmentation, and extracts a contrast agent time density curve corresponding to the blood vessel voxel; the aorta positioning module that calculates the peak value arrival time of each blood vessel voxel through the blood vessel template, obtains the histogram distribution of the peak value arrival time, selects the voxel before the cumulative histogram density is a set value as an artery coarse segmentation result, removes small blood vessels to obtain an artery template, and selects an aorta and a blood vessel center part from the artery template; the artery input curve selection module that extracts a contrast agent time density curve of voxels corresponding to the central part of the blood vessel, calculates the density curve characteristics of each voxel, calculates the conformity of each voxel, and analyzes the conformity to obtain an artery input curve. The system can efficiently and stably obtain the AIF curve.

Description

technical field [0001] The present invention relates to the technical field of state perfusion image post-processing, in particular to a system, method, device and medium for extracting AIF curves based on artery segmentation. Background technique [0002] In recent years, ischemic stroke has become a huge health problem worldwide. The incidence of stroke in my country is increasing year by year, and stroke has become the main cause of death. The key to stroke treatment is to use advanced imaging techniques (such as CT / MR perfusion imaging) to salvage the ischemic penumbra. CT / MR perfusion imaging can be used to assess perfusion parameters for non-invasive diagnosis of stroke by monitoring the time-density curve (TDC) of the tracer in the capillary bed. The arterial input function (AIF), that is, the time-dependent change of the contrast agent concentration in arteries supplying the brain, needs to be determined in postprocessing. Tissue TDC can be thought of as the convo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/11G06T7/136
CPCG06T7/0012G06T7/11G06T7/136G06T2207/30104
Inventor 王思伦周竞宇南雅诗
Owner 深圳市铱硙医疗科技有限公司
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