Automatic assessment of cardiac perfusion MRI |
|
| Abstract | In this paper, a method based on Active Appearance Models (AAM) is
applied for automatic registration of myocardial perfusion MRI. A
semi-quantitative perfusion assessment of the registered image
sequences is presented. This includes the formation of perfusion
maps for three parameters; maximum up-slope, peak and
time-to-peak. |
| Type | Conference paper [With referee] |
| Conference | Medical image computing and computer assisted intervention, MICCAI |
| Editors | Christian Barillot, David R. Haynor, Pierre Hellier |
| Year | 2004 Month September Vol. 36 No. 3217 pp. 1060 - 1061 |
| Publisher | Springer |
| Series | Lecture Notes in Computer Science |
| ISBN / ISSN | ISSN 0302-9743 |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics |