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 language | English |
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Title of host publication | 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro |
Publisher | IEEE Explore |
Pages | 864-867 |
DOIs | |
Publication status | Published - 2007 |
Event | 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Arlington, VA, USA, United States Duration: 12 Apr 2007 → 15 Apr 2007 |
Conference
Conference | 4th IEEE International Symposium on Biomedical Imaging |
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Country/Territory | United States |
Period | 12/04/07 → 15/04/07 |
Bibliographical note
Published in: 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macrocited By 12