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A method and system for anatomy structure segmentation and modeling in an image

An image-in-image technology, used in image analysis, 3D image processing, image enhancement, etc., to solve problems such as difficult detection and weak images

Inactive Publication Date: 2011-02-09
AGENCY FOR SCI TECH & RES
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

Second, some boundaries between the studied structure and its surrounding tissue are too weak to be detected in the image
Currently, there is no ready-made method to detect transition regions and at the same time prevent object regions from "leaking" into non-object regions

Method used

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  • A method and system for anatomy structure segmentation and modeling in an image
  • A method and system for anatomy structure segmentation and modeling in an image
  • A method and system for anatomy structure segmentation and modeling in an image

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Embodiment Construction

[0027] refer to figure 2 , shows the steps of a method 200 for generating a 3D surface model of a brain ventricle according to an embodiment of the present invention.

[0028] The input to method 200 is a volumetric image. In step 202, the ventricles in the volume image are segmented. In step 204, a 3D surface model of each ventricle is created, and the 3D surface model is edited to improve its accuracy. It should be noted that, in other embodiments, step 204 may not be after step 202 . In addition, the method in step 204 is not only applied in the method 200, but also has other possible applications, and in the field of 3D modeling, it can be implemented alone or in combination.

[0029] Step 202: Segment the ventricle in the volumetric image

[0030] refer to image 3 , shows the steps of a method 202 of an embodiment of the present invention for generating a volumetric image indicative of the ventricular system.

[0031] The input to method 202 is a volumetric image...

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Abstract

A method is proposed for segmenting one or more ventricles in a three-dimensional brain scan image (e.g. MR or CT). The image is registered against a brain model, which comprises one or more respective ventricle models of each of the one or more ventricles. Respective regions of interest are defined based on the ventricle models. Object regions are first obtained by applying region growing procedure in the regions of interest, and then trimmed based on anatomical knowledge. A 3D surface model of one or more objects is constructed within a 3D space from the segmented structure. A 3D surface is edited and refined by a user selecting amendment points in the 3D space which are indicative of missing detail features. A region of the 3D surface near the selected points is then warped towards the amendment points smoothly, and the modified patch is combined with the rest of the 3D surface yields the accurate anatomy structure model.

Description

technical field [0001] The invention relates to a method and system for segmenting anatomical structures in images, and a method and system for establishing 3D surface models for segmented structures. An example of a specific application is the segmentation and modeling of the brain's ventricular system in medical images, such as MR images and CT images. Background technique [0002] As shown in Figure 1, the ventricular system of the human brain consists of four interconnected chambers, namely the left ventricle, right ventricle, third ventricle, and fourth ventricle. The ventricles contain cerebrospinal fluid (CSF), surrounded by white matter (WM) and gray matter (GM). The two lateral ventricles located in the brain are large and C-shaped and surround approximately dorsal to the basal ganglia. Each lateral ventricle extends to the frontal, temporal, and occipital lobes through the anterior, inferior, and posterior horns, respectively. The lateral ventricles communicate ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A61B6/03G06T7/40A61B5/055
CPCG06T2207/10081G06T19/00G06T7/0028G06T2207/10088G06T2207/20128G06T7/0081G06T2207/30016G06T2207/20148G06T2207/20156G06T2207/20141G06T2210/41G06T15/08G06T7/33G06T7/11G06T7/187G06T7/136
Inventor 刘继敏黄甦W·L·诺文斯基
Owner AGENCY FOR SCI TECH & RES
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