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Non-uniform graph search partitioning algorithm used for renal cortex positioning

A segmentation algorithm and non-uniform technology, applied in the field of medical imaging algorithms, can solve the problems of poor segmentation effect and low recognition rate, and achieve the effect of fast segmentation and high segmentation accuracy.

Active Publication Date: 2017-07-18
SUZHOU UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

The existing segmentation algorithm for renal cortex image has low recognition rate and poor segmentation effect

Method used

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  • Non-uniform graph search partitioning algorithm used for renal cortex positioning
  • Non-uniform graph search partitioning algorithm used for renal cortex positioning
  • Non-uniform graph search partitioning algorithm used for renal cortex positioning

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Embodiment

[0031] Embodiment: The non-uniform graph search segmentation algorithm for renal cortex positioning of the present invention is an image segmentation algorithm based on graph search, and is intended to fully and rationally utilize image local information and graph search algorithm optimization characteristics for image segmentation. The renal cortex segmentation of CT images is taken as an example below. details as follows:

[0032] 1. Before segmentation, manually mark the kidneys of each 3D CT image in the selected CT data set. Such as figure 1 is a slice image of abdominal CT, figure 2 is a local image. Label the renal column, renal medulla and other structures in the kidney as the same type of L1, such as figure 2 The region contained in the inner circle in , marks the whole kidney as another type of L2, such as figure 2 The area enclosed by the outer circle in . Use the marching cube algorithm to convert the binary data of the L1 and L2 marked areas into surface ...

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Abstract

The invention discloses a non-uniform graph search partitioning algorithm used for renal cortex positioning. The algorithm is characterized by comprising steps of (1), defining a multi-scale boundary function when segmentation starts so as to realize non-uniform sampling on nodes; (2), defining different weights according to characteristics of renal cortex during segmentation and using a max-flow / minimal-cut algorithm for detecting an optimal surface for segmentation. The segmentation speed is high and the segmentation accuracy is high according to the invention.

Description

technical field [0001] The invention belongs to the field of medical imaging algorithms, and in particular relates to a non-uniform graph search and segmentation algorithm for renal cortex positioning. Background technique [0002] The renal cortex is an important part of the kidney. About 1.9% of adults are diagnosed with visceral diseases, and a considerable number of them die from nephritis, nephrotic syndrome, nephropathy and other diseases related to the renal cortex. Therefore The diagnostic research on the renal cortex is of great significance in the study of renal diseases. [0003] The existing medical imaging technology can not do a good job of identifying and positioning the renal cortex. The main reason is that the kidney is different from other organs such as the liver, and the anatomical structure of the kidney is relatively complicated. The kidney has four anatomical structures, among which the renal cortex and renal column are connected, and the renal cortex...

Claims

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Application Information

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IPC IPC(8): G06T7/10
CPCG06T2207/10081G06T2207/30084
Inventor 向德辉
Owner SUZHOU UNIV
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