Fast Registration of Cardiac Perfusion MRI | Mikkel B. Stegmann, Henrik B. W. Larsson
| | Abstract | This abstract presents a novel method for registration of cardiac perfusion MRI sequences. By performing complex analyses of variance and clustering in an annotated training set off-line, our method provides real-time segmentation in an on-line setting. This renders the method feasible for live motion-compensation in MR scanners. Changes in image intensity during the bolus passage are modelled by an Active Appearance Model augmented with a cluster analysis of the training set. Preliminary validation carried out using five subjects showed acceptable segmentation accuracy produced very rapidly (below 40 ms per image). | | Type | Conference paper [Abstract] | | Conference | Proc. International Society of Magnetic Resonance In Medicine - ISMRM 2003, Toronto, Ontario, Canada | | Year | 2003 Month May pp. 702 | | Publisher | ISMRM | | Address | Berkeley, CA, USA | | Electronic version(s) | [pdf] | | BibTeX data | [bibtex] | | IMM Group(s) | Image Analysis & Computer Graphics |
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