Removal of abdominal wall for 3D visualization and segmentation of organs in CT volume

Feng Ding, Wee Kheng Leow, Sudhakar Venkatesh

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

4 Scopus citations

Abstract

3D visualization and segmentation of organs in abdominal volume images are important in medical image processing for applications such as diagnosis, treatment and surgical planning. However, the abdominal wall leads to difficulties in both visualization and segmentation. These difficulties can be eliminated by removing the abdominal wall. This paper presents an algorithm that removes abdominal wall by registering a 3D flipping-free deformable model to the inner boundary of the wall. To our best knowledge, it is the first work in removing the abdominal wall for the purpose of 3D visualization and segmentation of the organs.

Original languageEnglish (US)
Title of host publication2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings
PublisherIEEE Computer Society
Pages3377-3380
Number of pages4
ISBN (Print)9781424456543
DOIs
StatePublished - Jan 1 2009
Event2009 IEEE International Conference on Image Processing, ICIP 2009 - Cairo, Egypt
Duration: Nov 7 2009Nov 10 2009

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Other

Other2009 IEEE International Conference on Image Processing, ICIP 2009
CountryEgypt
CityCairo
Period11/7/0911/10/09

Keywords

  • 3D deformable model
  • Abdominal wall
  • Medical image segmentation

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Fingerprint Dive into the research topics of 'Removal of abdominal wall for 3D visualization and segmentation of organs in CT volume'. Together they form a unique fingerprint.

  • Cite this

    Ding, F., Leow, W. K., & Venkatesh, S. (2009). Removal of abdominal wall for 3D visualization and segmentation of organs in CT volume. In 2009 IEEE International Conference on Image Processing, ICIP 2009 - Proceedings (pp. 3377-3380). [5413879] (Proceedings - International Conference on Image Processing, ICIP). IEEE Computer Society. https://doi.org/10.1109/ICIP.2009.5413879