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A method for segmenting renal vascular compartments based on medical images

A technology of medical imaging and kidney, applied in the field of medical image analysis

Inactive Publication Date: 2017-05-10
NORTHEASTERN UNIV LIAONING +1
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Problems solved by technology

The shortcoming of this method lies in the selection of the scanning phase. After the contrast agent is injected, the kidney will be scanned in multiple phases, and under different scanning phases, the areas with bright signals in the kidney will have various changes. Therefore, scanning images of different phases will produce different corticomedullary segmentation results.

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  • A method for segmenting renal vascular compartments based on medical images
  • A method for segmenting renal vascular compartments based on medical images
  • A method for segmenting renal vascular compartments based on medical images

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Embodiment Construction

[0046] The specific implementation manners of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0047] A method for segmenting renal vascular compartments based on medical images, such as Figure 14 shown, including the following steps:

[0048] Step 1: Obtain all the images of the dynamic contrast-enhanced scan of the kidney;

[0049] Step 1-1: Obtain a phased kidney scan image without injecting contrast agent;

[0050] Step 1-2: Inject contrast agent, and perform an enhanced kidney scan every 3 seconds;

[0051] Steps 1-3: Continuously acquire kidney enhanced scan images of multiple phases to obtain all images of kidney dynamic enhanced scan;

[0052] The image scanning was all completed on the GE 3.0T HDx machine, using the body phased array coil. After the positioning scan, the conventional sequence scan was performed first, and then the MRU and phase contrast MRA were performed. Scanning parameters TR = 4. 7 ms, T...

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Abstract

The invention provides a method for segmenting renal blood vessel compartments based on medical images, which includes: acquiring all images of kidney dynamic enhanced scans; registering kidney enhanced scan image data of different scan phases; and converting the kidney area from the kidney enhanced scan images. Segment it out; draw the TDC curve of each voxel in the kidney area image; calculate the time TTP to reach the peak concentration in the TDC curve of each voxel in the kidney area image; generate the TTP feature map of the kidney; use the adaptive threshold method to analyze the kidney The TTP feature map is thresholded; the renal blood vessel atrioventricular segmentation results are obtained. The present invention generates a time characteristic image about the renal contrast agent concentration based on the dynamically enhanced kidney scan image, and based on the time characteristic image, uses an image processing method to realize segmentation and extraction of blood vessel chambers.

Description

technical field [0001] The invention belongs to the technical field of medical image analysis, and in particular relates to a method for segmenting renal blood vessel compartments based on medical images. Background technique [0002] Analyzing the filtering function of the kidney based on medical images will become a development trend in clinical applications in the future, and a large number of related studies have been carried out so far. In this analysis process, the compartment model is a widely used analysis model. In the study, the compartmental model of the kidney is divided into different models, including two-compartment model and three-compartment model, which are all used to describe the filtration process of blood in the whole kidney. The same thing is that no matter the several-compartment model, it will include a division of the vascular compartment, that is, the blood is filtered from the vascular compartment to other compartments. In the process of calcula...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00A61B6/03
Inventor 李宏孙浩然康雁金时开徐谢平鲍楠孙航田实
Owner NORTHEASTERN UNIV LIAONING
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