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Prostate activity appearance model establishment method based on TURS image

A model building, prostate technology, applied in the field of image processing, to achieve the effect of real-time accurate segmentation

Pending Publication Date: 2022-04-08
DALIAN UNIV OF TECH
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  • Application Information

AI Technical Summary

Problems solved by technology

Early models used multiple sets of feature points of image contours to establish the local shape change mode of the model, but lacked consideration of model specificity

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  • Prostate activity appearance model establishment method based on TURS image
  • Prostate activity appearance model establishment method based on TURS image
  • Prostate activity appearance model establishment method based on TURS image

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Embodiment Construction

[0051] The present invention will be further described below in conjunction with specific examples.

[0052] A method for establishing a prostate AAM model based on TURS images, comprising the steps of:

[0053] S1. Obtain image data of prostate 3D MR and TRUS;

[0054] The image data described are as follows: the training and verification of 3D MR images use the prostate public dataset provided by the Prostate MR ImageSegmentation 2012 (Promise12) challenge.

[0055] S2. Marking the shape feature points in the image data of step S1, including morphological, mathematical and interpolation features;

[0056] Under the condition of only considering 2D, a set of plane coordinates can be used to represent the shape: in the process of annotating the feature points of the shape, it is necessary to confirm the corresponding relationship of the same feature points on different images, so an automatic or semi-automatic method is usually used To mark, the present invention adopts the ...

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Abstract

The invention provides a prostate activity appearance model establishing method based on a TURS image, and belongs to the technical field of image processing. The method comprises the following steps: firstly, acquiring prostate 3D MR and TRUS image data, marking shape feature points in the image data, and carrying out shape coordinate alignment by adopting a Protein analysis method; secondly, a principal component method is adopted to carry out dimension reduction on data, features are analyzed, and texture information is obtained through triangulation; and finally, performing feature analysis on the image texture by using a principal component analysis method, establishing a shape texture combination model, and performing parameter solution and optimization on the combination model. According to the method, the shape and appearance change characteristics of the prostate glands are considered, the front AAM model is established on the basis of the TRUS training set images of the prostate glands and serves as the basis of image segmentation positioning, and real-time accurate segmentation of the 3D MR and TRUS images can be achieved.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a method for establishing a prostate AAM model based on TURS images, which utilizes image processing technology to carry out active appearance model AAM modeling on TURS images during prostate penetration testing to obtain accurate shape and texture models . Background technique [0002] Prostate cancer ranks second in the world's male cancer mortality rate, and the focus is on early prevention and diagnosis. At present, the mainstream diagnosis method for prostate cancer is biopsy, that is, to collect tissues from suspicious lesion areas and test whether they are cancerous. The method has been known as an important method for the diagnosis of prostate cancer. When biopsy is performed, rectal ultrasound (Transrectal Ultrasound, TRUS) imaging technology is widely used at present, and this technology can display in-vivo images in real time during the operation, so as to fac...

Claims

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Application Information

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IPC IPC(8): G16H30/20G16H50/20G06T7/00G06T7/40G06T3/00G06T7/12
Inventor 刘冬李泳耀丛明
Owner DALIAN UNIV OF TECH