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Ultrasonic image segmentation method for dynamics-based statistical shape model

A technology of statistical shape and ultrasound images, applied in the field of medical ultrasound image processing, which can solve problems such as difficult segmentation algorithms

Inactive Publication Date: 2014-05-28
WUHAN UNIV
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Problems solved by technology

[0008] The above characteristics have brought great difficulties to the segmentation algorithm.
Some traditional segmentation methods cannot achieve ideal results in the above situations

Method used

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  • Ultrasonic image segmentation method for dynamics-based statistical shape model
  • Ultrasonic image segmentation method for dynamics-based statistical shape model
  • Ultrasonic image segmentation method for dynamics-based statistical shape model

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Embodiment Construction

[0050] In order to facilitate those of ordinary skill in the art to understand and implement the present invention, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the implementation examples described here are only used to illustrate and explain the present invention, and are not intended to limit this invention.

[0051] please see image 3 , the technical solution adopted in the present invention is: a method for segmenting ultrasonic images based on a dynamic statistical shape model, first defining a radial time series as a parametric representation model of the shape of the target region of the ultrasonic image,

[0052] Q={{r 0 ,...,r N-1},θ,{x c ,y c}} (Formula 1)

[0053] Among them, {x c ,y c} represents the coordinates of the center point of the target area, {r 0 ,K,r N-1} represents the Euclidean distance from the center point to the radius of the edge ...

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Abstract

The invention discloses an ultrasonic image segmentation method for a dynamics-based statistical shape model. The method comprises the following steps: 1. manually defining the central point of an ultrasonic image target region; 2. establishing a dynamics-based statistical shape model of the profile of target region profile for serving as a prior model of the target region; 3. calculating a radial characteristic profile model of each radius for serving as a likelihood probability model of the target region; 4. converting the segmentation process of the target region into the calculation of the maximum posterior probability of the entire profile according to the statistical shape model and the radial characteristic profile model; 5. updating the length of the radius of each angle to form a new profile curve; 6. calculating the maximum posterior probability of the new profile curve, and returning to the step 5 when the value of the maximum posterior probability is smaller than a set threshold; 7. converging to obtain a new profile serving as the profile region for the segmentation of the target region. By adopting the method, the target region of uterine myoma in a two-dimensional ultrasonic image can be segmented accurately by means of simple manual interaction.

Description

technical field [0001] The invention belongs to the field of medical ultrasonic image processing, and relates to a method of ultrasonic image processing in computer-aided therapy, in particular to an ultrasonic image segmentation method based on a dynamic statistical shape model, which is mainly used for uterine fibroids in high-intensity ultrasonic focusing surgery Segmentation of ultrasound images. Background technique [0002] Uterine fibroids is a common gynecological disease. The incidence rate of women around 30 years old is 20%-30%. High Intensity Focused Ultrasound (HIFU) treatment is a new type of non-invasive surgery. The biggest feature is that there is no need for surgery and only the patient needs to lie flat on the operating table, so the patient does not need to recover after surgery and has no side effects. The process of HIFU treatment is divided into two parts: preoperative planning and intraoperative positioning. [0003] (1) Preoperative: The surgeon op...

Claims

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Application Information

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IPC IPC(8): G06T7/00
Inventor 何发智倪波孙俊陈晓
Owner WUHAN UNIV
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