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A New Segmentation Method of Prostate Ultrasound Image

A technology of ultrasound images and prostate, applied in image analysis, image enhancement, image data processing, etc.

Inactive Publication Date: 2017-04-19
SICHUAN UNIV
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  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, few have used these non-Gaussian shape priors specifically for ultrasound images

Method used

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  • A New Segmentation Method of Prostate Ultrasound Image
  • A New Segmentation Method of Prostate Ultrasound Image
  • A New Segmentation Method of Prostate Ultrasound Image

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Embodiment Construction

[0057] Specific embodiments of the present invention are as follows:

[0058] 1. Feature extraction Gabor filtering is a common method for extracting texture features from ultrasound images. Gabor filtering can be regarded as an edge and line segment detector with adjustable angle and scale, and can extract local feature information in different frequency bands by setting different rotation and scaling parameters. Two-dimensional Gabor filter equation

[0059] (twenty one)

[0060] in

[0061] (twenty two)

[0062] represents the wavelength factor of the sine function, represents the direction of rotation of the Gabor function, is the difference, Indicates the standard deviation of the Gaussian convolution, is the spatial aspect ratio. The feature vector extracted by the traditional Gabor filter can be used as a column vector Indicates that each element in the vector is , which is obtained by using the rotation parameter as and the scale parameter is ...

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Abstract

The invention provides a new prostate ultrasonoscopy segmentation technique for accurately segmenting a prostate image in a transrectal ultrasound (TRUS) image. A traditional view is that the spots in the TRUS image have intense side effect to target segmentation. In contrast, the segmentation problem is simplified by using the intrinsic attribute of the spots. The technique comprises the steps: firstly, the sizes and the directions of the spots are not entirely distributed at random and comply with certain rule characteristics; secondly, in order to simplify the direction characteristic of the spots, the problem characteristic is extracted by using a rotation-invariant Gabor characteristic; in order to use the size characteristic of the spots, the TRUS image is segmented into a plurality of bar-shaped narrow bands and image pixels are processed differently in different narrow bands; and finally, the correlation among different pixels is considered and the image classification precision is improved by further using the graph cut method. For this reason, the segmentation result of the prostate image in the TRUS image is obtained finally by using a level set segmentation model.

Description

technical field [0001] The invention relates to an image segmentation technology, in particular to a prostate ultrasound image segmentation technology, and belongs to the field of computer image processing. Background technique [0002] In China, some research groups have studied the segmentation of TRUS images. As early as 2003, Professor Luo Limin of Southeast University proposed an ultrasonic multi-scale nonlinear adaptive boundary detection method. In this method, multi-scale decomposition of ultrasound images is carried out firstly, then the speckle noise is suppressed by nonlinear soft threshold method, and then the image is reconstructed by wavelet transform, finally, the denoised image is processed by linear boundary detection method based on "narrow bar". However, due to the time overhead of the region growing process, its computational complexity is large. Professor Ruan Qiuqi from Beijing Jiaotong University proposed an ultrasound image denoising and edge enhanc...

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Application Information

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IPC IPC(8): G06T7/11A61B8/00
CPCA61B8/5223G06T7/10G06T2207/30081
Inventor 刘怡光吴鹏飞曹丽萍罗以宁詹洋
Owner SICHUAN UNIV