Boundary detection in echocardiography using a Split Bregman edge detector and a topology preserving level set approach

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

2 Citations (Scopus)

Abstract

In the current paper a novel approach for echocardiographic segmentation is proposed based on a combination of the Geometric Active Contour Split Bregman (GSB) method with a topology preserving level set method. The proposed method was tested against manual delineations on 20 frames across 2 datasets and achieved an average Hausdorff distance of 4.01 ± 1.06mm and Mean Absolute distance of 1.62±0.3mm, which represented an enhanced performance when compared with intensity gradient and region based methods.

Original languageEnglish
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
Pages73-76
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: 7 Apr 201311 Apr 2013

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country/TerritoryUnited States
CitySan Francisco, CA
Period7/04/1311/04/13

Keywords

  • Echocardiography
  • Geometric Split Bregman
  • Segmentation
  • Topology Preserving Level Set Method

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