Region-based active surface modelling and alpha matting for unsupervised tumour segmentation in PET

Ziming Zeng, Jue Wang, Tony Shepherd, Reyer Zwiggelaar

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

6 Citations (Scopus)

Abstract

This paper presents a combination of existing advanced methods to solve the partial volume segmentation problem. It uses region-based active surface modelling in a hierarchical scheme to eliminate segmentation errors, followed by an alpha matting step to further refine the segmentation. This method can have an interest in several applications in medical imaging. We have validated our method on real PET images of head-and-neck cancer patients as well as custom designed phantom PET images. Experiments show that our method can generate more accurate segmentation than existing approaches.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Image Processing, ICIP 2012 - Proceedings
PublisherIEEE Press
Pages1997-2000
Number of pages4
ISBN (Electronic)978-1-4673-2533-2
ISBN (Print)9781467325332
DOIs
Publication statusPublished - 30 Sept 2012
Event19th IEEE International Conference on Image Processing - Orlando, United States of America
Duration: 30 Sept 201203 Oct 2012

Publication series

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

Conference

Conference19th IEEE International Conference on Image Processing
Country/TerritoryUnited States of America
CityOrlando
Period30 Sept 201203 Oct 2012

Keywords

  • PET
  • 3D Active Surface Modelling
  • Alpha Matting Modelling
  • Tumour Segmentation

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