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Method for segmenting 3-D medical image including interested area

A region of interest, medical image technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as errors

Inactive Publication Date: 2009-10-14
GENERAL ELECTRIC CO
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, most available techniques are subject to some degree of error
For example, connected volumes after segmentation may include volumes that are not of interest, thus requiring user intervention

Method used

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  • Method for segmenting 3-D medical image including interested area
  • Method for segmenting 3-D medical image including interested area
  • Method for segmenting 3-D medical image including interested area

Examples

Experimental program
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Embodiment Construction

[0011] Reference attached figure 1 , with figure 1 Shown is a block diagram of a system 100 for semi-automatic segmentation of medical images 135 . The system 100 includes an imaging device 110 that may be selected from different medical imaging devices that generate a plurality of medical images 135 . In one embodiment, medical imaging techniques such as positron emission tomography (PET) and magnetic resonance imaging (MRI) systems are used to generate the medical image 135 .

[0012] In one embodiment, during PET imaging, the patient is injected with a radiolabeled ligand that is specific to a metabolically hyperactive site such as a tumor. The patient lies horizontally inside the scanner. Photons emitted from the decay of the radioligand are detected by a series of photon detectors. The detector measures the amount of radioactive emissions emitted from the patient's body. Use this information to calculate the concentration of radioligand at the sampling point in vivo....

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Abstract

An apparatus and method for segmenting three-dimensional (3D) medical images containing a region of interest (200) is provided that identifies a first set of seed points within (202) the region of interest (200) and a second set of seed points outside (204) the region of interest (200). A first sphere (210) is constructed within the region of interest (200). Voxels contained within the medical image are classified using a spatial constrained fuzzy clustering algorithm. A plurality of second spheres (220) is generated. Ones of the plurality of second spheres (220) are accepted that satisfy the homogeneity function threshold as defined by the spatial constricted fuzzy clustering algorithm. A three-dimensional area is grown that defines the region of interest (200). The region of interest (200) defined by the three-dimensional area is displayed. <IMAGE>

Description

technical field [0001] The invention relates to segmentation technology of medical images. More specifically, the present invention relates to methods and systems for segmenting regions of interest in three-dimensional medical images used in volumetric measurements. Background technique [0002] Techniques for obtaining three-dimensional (3D) data arrays representing one or more physical properties within a solid body (eg, anatomical tissue) are well known. During medical imaging, this data is obtained through a variety of non-invasive methods such as positron emission tomography (PET), computed tomography (CT), magnetic resonance imaging (MRI), ultrasound, x-rays, or combination method. No matter which image data acquisition method is adopted, the 3D data array usually includes a plurality of three-dimensional coordinate groups distributed at regular positions around the body of interest. There are a variety of techniques that can be used to generate a three-dimensional ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/00A61B5/00G01R33/32A61B5/055A61B6/03G01T1/161G06T1/00G06T5/00G06T7/00G06T7/40
CPCY10S128/922G06T7/0081G06T2207/20104G06K9/342G06T2207/30016G06T2207/10104G06K2009/366G06T2207/20156G06T2207/20141G06T7/11G06T7/187G06V10/248G06V10/267
Inventor R·M·曼耶斯瓦H·E·克林
Owner GENERAL ELECTRIC CO