Vasomotion tracking method based on four-dimensional medical image
A medical imaging and blood vessel motion technology, which is applied in the field of blood vessel motion tracking for four-dimensional medical images and the tracking of moving targets, which can solve the problems of low signal-to-noise ratio of blood vessel imaging and complex changes in blood vessel shape.
Active Publication Date: 2018-05-08
BEIJING UNIV OF TECH
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[0007] The present invention is oriented to the blood vessel tracking and positioning requirements in medical clinical four-dimensional images, and provides a robust blood vessel movement tracking method for the situation where the signal-to-noise ratio of blood vessel imaging in dynamic volume data is low and the shape of blood vessels is complex.
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[0042] Below in conjunction with accompanying drawing of description, the embodiment of the present invention is described in detail:
[0043] A coronary vessel movement tracking based on four-dimensional CT images. For 10 to 30 CT image samples uniformly collected in each breathing or heartbeat cycle, the overall processing flow chart is shown in the attached figure 1 As shown, the specific details are as follows Figure 4 shown.
[0044] 1 Extract blood vessels from volume images.
[0045] 1.1 Read the volumetric image data at the initial t=0 phase, take the maximum value of the vascular image intensity and the lower limit of the normal range of the thoracoabdominal CT image at 240 as the range, and perform histogram normalization and enhancement preprocessing on the original volumetric image, so as to realize the The CT intensity value of the region of interest is normalized, and the preprocessed image is denoted as I 0 ;
[0046] 1.2 Starting from a certain preset poi...
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The invention discloses a vasomotion tracking method based on a four-dimensional medical image and belongs to the field of medical image processing. According to the method, first, a vascular morphological modeling mode combining a hierarchical structure and a chain structure is constructed, and parametric representation of a vascular morphological structure in a three-dimensional space is realized; second, according to complicated motion of blood vessels in the three-dimensional space, an overall vascular vision description modeling is established from appearance expression, a spatial relation and a local structure of local blood vessels, and overall model description of the blood vessels in a volume image is realized; and last, a dynamic deduction method of vascular model states is established, and a vascular positioning overall scheme from three-dimensional image vascular description to four-dimensional image vasomotion tracking is provided. Through the method, in a whole respiratory or cardiac cycle, robust and precise three-dimensional motion tracking is performed on a blood vessel of interest section by section, the tracking result does not reply on complicated three-dimensional registration operation in the traditional technology, and the whole calculation process is efficient and convenient.
Description
technical field [0001] The invention belongs to the technical field of medical image processing, and relates to a tracking method of a moving target, and more specifically, relates to a four-dimensional medical image-oriented blood vessel movement tracking method. Background technique [0002] Blood vessels are the main transport channel for human life movement, and have always been the focus of attention in the medical field. Clinically, quantitative analysis and measurement of vascular movement caused by breathing and heartbeat can assist doctors in implementing precise diagnosis and treatment of diseases. For example, the coronary artery is an important pathway for myocardial blood supply. With the help of image data, its extraction and motion tracking can realize the diagnosis of cardiovascular disease and the evaluation of cardiovascular function; at the same time, it is also helpful to avoid surgical risks during cardiovascular surgery and thoracoabdominal radiotherapy...
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Login to View More IPC IPC(8): G06T7/246
CPCG06T2207/10076G06T2207/30101G06T2207/30241G06T7/251
Inventor 张辉齐天卉杜康李晓光卓力
Owner BEIJING UNIV OF TECH