Output details
12 - Aeronautical, Mechanical, Chemical and Manufacturing Engineering
University of Sheffield : A - Mechanical engineering and Advanced manufacturing
Article title
Automated Detection of Regional Wall Motion Abnormalities Based on a Statistical Model Applied to Multislice Short-Axis Cardiac MR Images
Type
D - Journal article
Title of journal
IEEE Transactions on Medical Imaging
Article number
-
Volume number
28
Issue number
4
First page of article
595
ISSN of journal
1558254X
Year of publication
2009
URL
-
Number of additional authors
6
Additional information
Understanding mycardial wall motion is fundamental to assess cardiac function in stress-induced ischemia and myocardial viability. These are critical in defining care paths of patients suspected of coronary artery disease. Research was carried out with key opinion leaders in cardiology at Leiden Medical Centre, Netherlands (contact: Professor of Cardiology, LUMC), where the method is now clinically used.
Interdisciplinary
Yes
Cross-referral requested
-
Research group
None
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-
