Delineation of liver tumors from CT scans using spectral clustering with out-of-sample extension and multi-windowing

Jiayin Zhou, Weimin Huang, Wei Xiong, Wenyu Chen, Sudhakar K. Venkatesh, Qi Tian

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

3 Scopus citations

Abstract

Accurate extraction of live tumors from CT data is important for disease management. In this study, an algorithm based on spectral clustering with out-of-sample extension is developed for the semi-automated delineation of liver tumors from 3D CT scans. In this method, spatial information is incorporated into a similarity metric together with low-level image features. A trick of out-of-sample extension is performed to reduce the computational burden in eigen-decomposition for a large matrix. Experimental results show that the developed method using multi-windowing feature obtained better results than using only the original data-depth and the support vector machine method, with a sensitivity of 0.77 and a Jaccard similarity measure of 0.70.

Original languageEnglish (US)
Title of host publicationAbdominal Imaging
Subtitle of host publicationComputational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings
Pages246-254
Number of pages9
DOIs
StatePublished - Nov 6 2012
Event4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 - Nice, France
Duration: Oct 1 2012Oct 1 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7601 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012
CountryFrance
CityNice
Period10/1/1210/1/12

Keywords

  • CT
  • Spectral clustering
  • out-of-sample extension
  • tumor delineation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Zhou, J., Huang, W., Xiong, W., Chen, W., Venkatesh, S. K., & Tian, Q. (2012). Delineation of liver tumors from CT scans using spectral clustering with out-of-sample extension and multi-windowing. In Abdominal Imaging: Computational and Clinical Applications - 4th International Workshop, Held in Conjunction with MICCAI 2012, Proceedings (pp. 246-254). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7601 LNCS). https://doi.org/10.1007/978-3-642-33612-6_26