Brain Structure Segmentation from MRI by Geometric Surface Flow

We present a method for semiautomatic segmentation of brain structures such as thalamus from MRI images based on the concept of geometric surface flow. Given an MRI image, the user can interactively initialize a seed model within region of interest. The model will then start to evolve by incorporati...

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Main Authors: Greg Heckenberg, Yongjian Xi, Ye Duan, Jing Hua
Format: Article
Language:English
Published: Wiley 2006-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/IJBI/2006/86747
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author Greg Heckenberg
Yongjian Xi
Ye Duan
Jing Hua
author_facet Greg Heckenberg
Yongjian Xi
Ye Duan
Jing Hua
author_sort Greg Heckenberg
collection DOAJ
description We present a method for semiautomatic segmentation of brain structures such as thalamus from MRI images based on the concept of geometric surface flow. Given an MRI image, the user can interactively initialize a seed model within region of interest. The model will then start to evolve by incorporating both boundary and region information following the principle of variational analysis. The deformation will stop when an equilibrium state is achieved. To overcome the low contrast of the original image data, a nonparametric kernel-based method is applied to simultaneously update the interior probability distribution during the model evolution. Our experiments on both 2D and 3D image data demonstrate that the new method is robust to image noise and inhomogeneity and will not leak from spurious edge gaps.
format Article
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institution OA Journals
issn 1687-4188
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language English
publishDate 2006-01-01
publisher Wiley
record_format Article
series International Journal of Biomedical Imaging
spelling doaj-art-213ae2a48cef4defbd211c4b34bebb1e2025-08-20T02:03:55ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962006-01-01200610.1155/IJBI/2006/8674786747Brain Structure Segmentation from MRI by Geometric Surface FlowGreg Heckenberg0Yongjian Xi1Ye Duan2Jing Hua3Department of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia 65211-2060, USADepartment of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia 65211-2060, USADepartment of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia 65211-2060, USADepartment of Computer Science, College of Liberal Arts and Sciences, Wayne State University, Detroit 48202, USAWe present a method for semiautomatic segmentation of brain structures such as thalamus from MRI images based on the concept of geometric surface flow. Given an MRI image, the user can interactively initialize a seed model within region of interest. The model will then start to evolve by incorporating both boundary and region information following the principle of variational analysis. The deformation will stop when an equilibrium state is achieved. To overcome the low contrast of the original image data, a nonparametric kernel-based method is applied to simultaneously update the interior probability distribution during the model evolution. Our experiments on both 2D and 3D image data demonstrate that the new method is robust to image noise and inhomogeneity and will not leak from spurious edge gaps.http://dx.doi.org/10.1155/IJBI/2006/86747
spellingShingle Greg Heckenberg
Yongjian Xi
Ye Duan
Jing Hua
Brain Structure Segmentation from MRI by Geometric Surface Flow
International Journal of Biomedical Imaging
title Brain Structure Segmentation from MRI by Geometric Surface Flow
title_full Brain Structure Segmentation from MRI by Geometric Surface Flow
title_fullStr Brain Structure Segmentation from MRI by Geometric Surface Flow
title_full_unstemmed Brain Structure Segmentation from MRI by Geometric Surface Flow
title_short Brain Structure Segmentation from MRI by Geometric Surface Flow
title_sort brain structure segmentation from mri by geometric surface flow
url http://dx.doi.org/10.1155/IJBI/2006/86747
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AT yongjianxi brainstructuresegmentationfrommribygeometricsurfaceflow
AT yeduan brainstructuresegmentationfrommribygeometricsurfaceflow
AT jinghua brainstructuresegmentationfrommribygeometricsurfaceflow