Ischemic segment detection using the support vector domain description

Michael S. Hansen; Hildur Ólafsdóttir; Karl Sjöstrand; Søren G. Erbou; Mikkel B. Stegmann; Henrik B. W. Larsson; Rasmus Larsen

doi:10.1117/12.709492

3 March 2007 Ischemic segment detection using the support vector domain description

Michael S. Hansen, Hildur Ólafsdóttir, Karl Sjöstrand, Søren G. Erbou, Mikkel B. Stegmann, Henrik B. W. Larsson, Rasmus Larsen

Author Affiliations +

Proceedings Volume 6512, Medical Imaging 2007: Image Processing; 65120F (2007) https://doi.org/10.1117/12.709492
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Myocardial perfusion Magnetic Resonance (MR) imaging has proven to be a powerful method to assess coronary artery diseases. The current work presents a novel approach to the analysis of registered sequences of myocardial perfusion MR images. A previously reported active appearance model (AAM) based segmentation and registration of the myocardium provided pixel-wise signal intensity curves that were analyzed using the Support Vector Domain Description (SVDD). In contrast to normal SVDD, the entire regularization path was calculated and used to calculate a generalized distance, which is used to discriminate between ischemic and healthy tissue. The results corresponded well to the ischemic segments found by assessment of the three common perfusion parameters; maximum upslope, peak and time-to-peak obtained pixel-wise.

Citation Download Citation

Michael S. Hansen, Hildur Ólafsdóttir, Karl Sjöstrand, Søren G. Erbou, Mikkel B. Stegmann, Henrik B. W. Larsson, and Rasmus Larsen "Ischemic segment detection using the support vector domain description", Proc. SPIE 6512, Medical Imaging 2007: Image Processing, 65120F (3 March 2007); https://doi.org/10.1117/12.709492

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available