Inner-ear three-dimensional level set segmentation method based on statistical shape model

A level set segmentation and statistical shape technology, applied in the field of inner ear three-dimensional level set segmentation based on statistical shape model, can solve the problem of less research work on inner eardrum labyrinth segmentation, achieve high precision and overcome segmentation leakage.

Active Publication Date: 2018-02-09
SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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Problems solved by technology

At present, there is still relatively little research work on the segmentation of the inner eardrum labyrinth using statistical shape models

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  • Inner-ear three-dimensional level set segmentation method based on statistical shape model
  • Inner-ear three-dimensional level set segmentation method based on statistical shape model
  • Inner-ear three-dimensional level set segmentation method based on statistical shape model

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Embodiment Construction

[0038] The present invention will be further described in detail below in conjunction with the embodiments, so that those skilled in the art can implement it with reference to the description.

[0039] It should be understood that terms such as "having", "comprising" and "including" used herein do not exclude the presence or addition of one or more other elements or combinations thereof.

[0040] A kind of inner ear three-dimensional level set segmentation method based on statistical shape model of the present embodiment is characterized in that, comprises the following steps:

[0041] Step 1: Build a statistical shape model of the inner ear.

[0042] Step one specifically includes:

[0043] Step 1-1: Collect a sufficient amount of inner ear body data as training samples, and then convert it into uniformly distributed triangular surface mesh data through 3D-Slicer software; among them, experienced ear specialists can use brain MRI images Manually segment a sufficient number ...

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Abstract

The invention discloses an inner-ear three-dimensional level set segmentation method based on a statistical shape model. The method comprises the following steps of step1, establishing the statisticalshape model of an inner ear; step2, through a rigid registration method from volume data to volume data, acquiring an area of interest of the inner ear, and then through the rigid registration methodfrom the model to the volume data, registering an average shape model of the statistical shape model to the area of interest of the inner ear, and acquiring an initial surface contour of the inner ear; and step3, using the three-dimensional level set segmentation method based on a threshold area, carrying out level set evolution and acquiring a target contour surface, and then combining originalbrain MRI volume data so as to finally calculate and acquire a needed inner ear contour. In the invention, a real inner ear boundary can be rapidly converged; a complexity of the method is lower thana method for acquiring an initial contour through combination of various pre-segmentation methods; and the method possesses high robustness and accuracy during a inner ear segmentation process.

Description

technical field [0001] The invention relates to the technical field of digital image processing, in particular to a three-dimensional level set segmentation method of the inner ear based on a statistical shape model. Background technique [0002] Inner ear organ segmentation is an important part of preoperative imaging evaluation for cochlear implant surgery, and it is also a necessary means for accurate measurement of inner ear structure. Inner ear organ segmentation can provide reliable anatomical information before surgery, provide a basis for the formulation of ear microsurgery plans, and make the diagnosis and treatment of ear microsurgery diseases more scientific and intuitive. At the same time, the inner ear model based on standard spatial coordinates It is of great significance for theoretical research and clinical diagnosis of otolithiasis. [0003] As mentioned above, 3D segmentation of the inner ear is of high value for clinical research and applications. Howeve...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/13G06T7/11G06T7/136G06T7/149G06T7/30
CPCG06T2207/10088G06T7/11G06T7/13G06T7/136G06T7/149G06T7/30
Inventor 刘兆邦朱珊珊杨晓凯郑健郑炎焱杨晓国吴中毅杨晓冬袁刚
Owner SUZHOU INST OF BIOMEDICAL ENG & TECH CHINESE ACADEMY OF SCI
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