Semi-automatic segmentation of the endocardial boundary in intracardiac echocardiographic images

Y. Gao, S. Gao, C. Ding, L. Rao, Dirar S. Khoury

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

2 Scopus citations

Abstract

Intracardiac echocardiography (ICE) has been employed in guiding clinical interventional procedures. ICE could also be useful for 3-D anatomical and functional imaging of the heart. In this regard, we developed and tested a method to semi-automatically determine the endocardial boundary in multiple tomographic ICE images. Compared to manual segmentation, we found that semi-automatic segmentation of the endocardial boundary in ICE images was feasible and enabled accurate and efficient reconstruction of 3-D geometry of the heart cavity.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Pages1911-1913
Number of pages3
Volume26 III
Publication statusPublished - 2004
EventConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004 - San Francisco, CA, United States
Duration: Sep 1 2004Sep 5 2004

Other

OtherConference Proceedings - 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2004
CountryUnited States
CitySan Francisco, CA
Period9/1/049/5/04

    Fingerprint

Keywords

  • Echocardiography
  • Imaging
  • Segmentation

ASJC Scopus subject areas

  • Bioengineering

Cite this

Gao, Y., Gao, S., Ding, C., Rao, L., & Khoury, D. S. (2004). Semi-automatic segmentation of the endocardial boundary in intracardiac echocardiographic images. In Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings (Vol. 26 III, pp. 1911-1913)