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Method for fast segmenting kidney CT sequential image

A technology of sequential images and CT images, applied in the field of image processing, can solve the problem of inability to balance segmentation accuracy and efficiency, and achieve the effect of improving segmentation efficiency, solving the excessive workload of personnel and reducing the amount of calculation.

Active Publication Date: 2015-03-25
HARBIN INST OF TECH
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Problems solved by technology

[0005] Aiming at the inadequacy of existing segmentation methods that cannot balance both segmentation accuracy and efficiency, the present invention proposes a rapid segmentation method for kidney CT sequence images

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  • Method for fast segmenting kidney CT sequential image
  • Method for fast segmenting kidney CT sequential image
  • Method for fast segmenting kidney CT sequential image

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Embodiment Construction

[0023] In order to facilitate the understanding of the content of the present invention, some prior art used will be briefly introduced first.

[0024] The TLD tracking algorithm is a long-term tracking algorithm for a single target. It has better tracking results when the tracking target has a shape change. For details, see the literature: Zdenek Kalal, Krystian Mikolajczyk, and Jiri Matas, "Tracking-Learning-Detection," IEEE Transactions On Patteen Analysis And Machine Intelligence, vol.34, pp.1409-1422, July2012. In the normal kidney CT medical sequence images, the shape of the kidney changes greatly, and the TLD tracking algorithm provides a solution for accurate tracking and positioning of the set area.

[0025] The TLD algorithm consists of three parts: tracking module, detection module and learning module. The operation mechanism of the algorithm is the complementary parallel processing of the detection module and the tracking module. First, the tracking module assume...

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Abstract

The invention provides a method for fast segmenting a kidney CT sequential image. The method comprises the steps that (1), according to a picture including the kidney part in a given CT image sequence, a gray threshold capable of approximately distinguishing the kidney area and the perimeter area is manually determined; (2), the initial kidney rectangular region of interest (ROI) of the CT sequential image is obtained; (3), the ROI is optimized; (4), the ROI of the current sequential image is segmented through a GrabCut algorithm; (5), TLD tracking is carried out on the sequential CT image through the obtained ROI, and an updated ROI is obtained; (6), the steps 3,4 and 5 are sequentially executed in a circulating mode until the image sequence is finished, and the fast and accurate segmentation of the whole sequential image is completed. The processing area of the segmentation operation is reduced to the maximum degree, and processing speed is improved. The ROI optimizing method is provided for guaranteeing precision, and finally the reliable segmentation result is obtained.

Description

technical field [0001] The invention relates to the technical field of image processing, and in particular to a method for rapidly segmenting kidney CT sequence images. Background technique [0002] Computed Tomography (CT) technology has been widely used in clinical medicine. Kidney segmentation in CT sequence images is an important problem faced by urologists and researchers. Kidney segmentation of CT images is helpful for medical staff to have a more comprehensive understanding of the information of kidney parts, and then have a more accurate judgment on the health status and treatment plan of the kidneys, and kidney segmentation is the registration, three-dimensional modeling and The basis of visualization. Traditional artificial image segmentation methods can obtain more accurate segmentation results by using the experience and knowledge of medical staff. However, manual segmentation is extremely time-consuming and the workload becomes a challenge. [0003] The deve...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00
CPCG06T7/0012G06T2207/10081G06T2207/20104G06T2207/30084G06T7/11
Inventor 刘飞胡志发王东文张斌
Owner HARBIN INST OF TECH
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