A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications

We recently developed a multiresolution PDE-based deformable surface whose deformation behavior is governed by partial differential equations (PDEs) such as the weighted minimal surface flow. Comparing with the level-set approach, our new model has better control of the mesh quality and model resolu...

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Main Author: Ye Duan
Format: Article
Language:English
Published: Wiley 2006-01-01
Series:International Journal of Biomedical Imaging
Online Access:http://dx.doi.org/10.1155/IJBI/2006/87419
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author Ye Duan
author_facet Ye Duan
author_sort Ye Duan
collection DOAJ
description We recently developed a multiresolution PDE-based deformable surface whose deformation behavior is governed by partial differential equations (PDEs) such as the weighted minimal surface flow. Comparing with the level-set approach, our new model has better control of the mesh quality and model resolution, and is much simpler to implement since all the computations are local. The new deformable model is very useful for a variety of medical imaging applications including boundary reconstruction, surface visualization, data segmentation, and topology discovery. In this paper, we demonstrate both the accuracy and robustness of our model on areas such as medical image segmentation through a number of experiments on both real (MRI/CT) and synthetic volumetric datasets.
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publishDate 2006-01-01
publisher Wiley
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series International Journal of Biomedical Imaging
spelling doaj-art-64702c3cdd78467b9f81ff7d8f6b4e742025-08-20T02:23:52ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962006-01-01200610.1155/IJBI/2006/8741987419A Multiresolution PDE-Based Deformable Surface for Medical Imaging ApplicationsYe Duan0Computer Graphics and Image Understanding Lab, Department of Computer Science, College of Engineering, University of Missouri-Columbia, Columbia 65211-2060, MO, USAWe recently developed a multiresolution PDE-based deformable surface whose deformation behavior is governed by partial differential equations (PDEs) such as the weighted minimal surface flow. Comparing with the level-set approach, our new model has better control of the mesh quality and model resolution, and is much simpler to implement since all the computations are local. The new deformable model is very useful for a variety of medical imaging applications including boundary reconstruction, surface visualization, data segmentation, and topology discovery. In this paper, we demonstrate both the accuracy and robustness of our model on areas such as medical image segmentation through a number of experiments on both real (MRI/CT) and synthetic volumetric datasets.http://dx.doi.org/10.1155/IJBI/2006/87419
spellingShingle Ye Duan
A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications
International Journal of Biomedical Imaging
title A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications
title_full A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications
title_fullStr A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications
title_full_unstemmed A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications
title_short A Multiresolution PDE-Based Deformable Surface for Medical Imaging Applications
title_sort multiresolution pde based deformable surface for medical imaging applications
url http://dx.doi.org/10.1155/IJBI/2006/87419
work_keys_str_mv AT yeduan amultiresolutionpdebaseddeformablesurfaceformedicalimagingapplications
AT yeduan multiresolutionpdebaseddeformablesurfaceformedicalimagingapplications