Left and right cerebral hemisphere segmentation method

A technology of left, right and falx, which is applied in the field of image processing, can solve problems affecting the stability of fitting results, etc., and achieve the effect of reducing radiation brain damage and improving convenience

Active Publication Date: 2017-09-26
SHANGHAI UNITED IMAGING HEALTHCARE
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Problems solved by technology

Since the falx only exists in about 30% of the CT image level, and the impact of CT image quality or lesions, there must be many interference points in the detected feature points of the falx, which will affect the stability of the fitting result

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  • Left and right cerebral hemisphere segmentation method
  • Left and right cerebral hemisphere segmentation method
  • Left and right cerebral hemisphere segmentation method

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Embodiment Construction

[0039] A method for dividing the left and right hemispheres proposed by the present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in a very simplified form and use imprecise scales, and are only used to facilitate and clearly assist the purpose of illustrating the embodiments of the present invention.

[0040] A kind of segmentation method of left and right hemispheres of the embodiment of the present invention, comprises the following steps:

[0041] S1. Obtain a three-dimensional image of the head; the three-dimensional image of the head is a brain CT image or an MR image;

[0042] S2. Detecting the initial median sagittal plane SP of the intracranial brain tissue in the three-dimensional image of the head 0 , the initial midsagittal plane SP 0...

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Abstract

The invention discloses a left and right cerebral hemisphere segmentation method, and the method comprises the following steps: S1, obtaining a head three-dimensional image; S2, detecting an initial median sagittal plane SP0 of an intracranial brain tissue in the head three-dimensional image, wherein the initial median sagittal plane SP0 comprises one of a cerebral falx median sagittal plane, a skull contour median sagittal plane and a binoculus median sagittal plane or more; 3, carrying out the adjustment of the initial median sagittal plane SP0 according to the prior information / local feature points in a cross section image of the head three-dimensional image, and determining a median sagittal plane SP of the intracranial brain tissue; S4, carrying out the segmentation of the intracranial brain tissue according to the median sagittal plane SP, and obtaining the corresponding left and right cerebral hemisphere segmentation results. The method can achieve the quick and stable segmentation of the left and right cerebral hemispheres.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for dividing the left and right hemibrains used for estimating radiation brain damage. Background technique [0002] Radiation brain injury is a common complication after radiotherapy for extracranial and non-neoplastic lesions. Severe cases greatly affect the quality of life and survival of patients. Solving the contradiction between injury and treatment has always been a difficult and hot topic in research. How to minimize the occurrence of radiation-induced brain injury is a clinical problem that needs to be solved urgently. [0003] At this stage, in the design stage of radiotherapy plan, the strategy of using the results of left and right hemisphere segmentation to predict radiation brain injury is relatively new and unique. Compared with MR images, soft tissue contrast is poor in CT images, and therefore, relatively little is known about the segmentation...

Claims

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Application Information

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IPC IPC(8): G06T7/11G06T7/136G06T7/168G06K9/32
CPCG06T2207/30008G06T2207/30016G06T2207/10088G06T2207/10081G06V10/242G06V10/25
Inventor 韩妙飞马金凤李强
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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