DocumentCode
2522590
Title
LEVEL SET SNAKE ALGORITHMS ON THE FETAL HEART
Author
Dindoyal, Irving ; Lambrou, Tryphon ; Deng, Jing ; Todd-Pokropek, Andrew
Author_Institution
Dept. of Med. Phys. & Bioeng., Univ. Coll. London
fYear
2007
fDate
12-15 April 2007
Firstpage
864
Lastpage
867
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
Keywords
biomechanics; biomedical measurement; biomedical ultrasonics; blood; cardiology; deformation; feature extraction; image segmentation; medical image processing; obstetrics; physiological models; shape measurement; amorphous snakes; blood volume measurement; chamber segmentation; deformable model; fetal cardiac segmentation; fetal heart; level set algorithms; nonshape based segmentation; shape awareness; shape prior level set; shape prior term extraction; snake algorithms; thin intrachamber walls; ultrasound data; ultrasound scanners; Blood; Deformable models; Fetal heart; Image resolution; Image segmentation; Level set; Shape; Ultrasonic imaging; Ultrasonic variables measurement; Volume measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging: From Nano to Macro, 2007. ISBI 2007. 4th IEEE International Symposium on
Conference_Location
Arlington, VA
Print_ISBN
1-4244-0672-2
Electronic_ISBN
1-4244-0672-2
Type
conf
DOI
10.1109/ISBI.2007.356989
Filename
4193423
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