DocumentCode :
329432
Title :
Flexible shapes for segmentation and tracking of cardiovascular data
Author :
Amini, Amir ; Huang, Jiantao ; Klein, Andreas ; Radeva, Petia ; Elayyadi, Mohamed
Author_Institution :
Med. Center, Washington Univ., St. Louis, MO, USA
Volume :
2
fYear :
1998
fDate :
4-7 Oct 1998
Firstpage :
5
Abstract :
In this invited paper, an overview of techniques developed at the Cardiovascular Image Analysis Laboratory at Washington University is discussed. At the core of the authors´ methodologies lie flexible shape models, which are employed in automated as well as semi-automated analysis of cardiac MRI and X-ray angiography images. The mathematical bases used for the flexible templates are of the B-spline variety, providing compact representation and interactive capabilities for manipulation of curves, surfaces, and volumes
Keywords :
angiocardiography; biomedical MRI; cardiology; diagnostic radiography; dynamic programming; image segmentation; medical image processing; reviews; B-splines; Cardiovascular Image Analysis Laboratory; Washington University; X-ray angiography images; automated analysis; cardiac MRI; curves; flexible shape models; flexible templates; medical diagnostic imaging; semiautomated analysis; surfaces; volumes; Biomedical imaging; Cardiology; Heart; Image analysis; Magnetic resonance imaging; Shape control; Shape measurement; Spline; Ultrasonic imaging; X-ray imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
Type :
conf
DOI :
10.1109/ICIP.1998.723306
Filename :
723306
Link To Document :
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