Laplacian shape editing with local patch based force field for interactive segmentation

Chaowei Tan, Zhennan Yan, Kang Li, Dimitris Metaxas, Shaoting Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Segmenting structure-of-interest is a fundamental problem in medical image analysis. Numerous automatic segmentation algorithms have been extensively studied for the task. However, misleading image information and the complex organ structures with high curvature boundaries may cause under- or over-segmentation for the deformable models. Learning based approaches can alleviate this issue, while they usually require a large number of representative training samples for each use case, which may not be available in practice. On the other hand, manually correcting segmentation errors produces good results and doctors would like such tools to improve accuracy in local areas. Therefore, we propose a 3D editing framework to interactively and efficiently refine the segmentation results, by editing the mesh directly. Specifically, the shape editing framework is modeled by integrating the Laplacian coordinates, image context information and user specified control points. We employ a local patch based optimization to enhance the supplement force field near the control points to improve correction accuracy. Our method requires few (and intuitive) user inputs, and the experimental results show competitive performance of our interactive refinement compared to other state-of-the-art methods.

Original languageEnglish (US)
Title of host publicationPatch-Based Techniques in Medical Imaging - First st International Workshop, Patch-MI 2015 Held in Conjunction with MICCAI 2015, Revised Selected Papers
EditorsPierrick Coupé, Brent Munsell, Guorong Wu, Yiqiang Zhan, Daniel Rueckert
PublisherSpringer Verlag
Pages95-103
Number of pages9
ISBN (Print)9783319281933
DOIs
StatePublished - 2015
Event1st International Workshop on Patch-Based Techniques in Medical Imaging, Patch-MI 2015 - Munich, Germany
Duration: Oct 9 2015Oct 9 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9467
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other1st International Workshop on Patch-Based Techniques in Medical Imaging, Patch-MI 2015
CountryGermany
CityMunich
Period10/9/1510/9/15

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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