Level set snake algorithms on the fetal heart

I. Dindoyal, T. Lambrou, J. Deng, A. Todd-Pokropek

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

14 Citations (Scopus)

Abstract

The fetal heart has very thin intra-chamber walls which are often not resolved by ultrasound scanners and may drop out as a result of imaging. In order to measure blood volumes from all chambers in isolation, deformable model approaches were used to segment the chambers and fill in the missing structural information. Three level set algorithms in the fetal cardiac segmentation literature (two without and, one with the use of a shape prior) were applied to real ultrasound data. The shape prior term was extracted from the shape prior level set and incorporated into the amorphous snakes for a fairer comparison. To our knowledge this is the first time these existing fetal cardiac non shape based segmentation algorithms have been modified for shape awareness in this way
Original languageEnglish
Title of host publication4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
PublisherIEEE Explore
Pages864-867
DOIs
Publication statusPublished - 2007
Event4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, USA, United States
Duration: 12 Apr 200715 Apr 2007

Conference

Conference4th IEEE International Symposium on Biomedical Imaging
Country/TerritoryUnited States
Period12/04/0715/04/07

Fingerprint

Dive into the research topics of 'Level set snake algorithms on the fetal heart'. Together they form a unique fingerprint.

Cite this