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