@inproceedings{f7d4ee43038c48acbda2ae88e900e0ca,
title = "Motion-compensated MR valve imaging with COMB tag tracking and super-resolution enhancement",
abstract = "MR imaging of the heart valve leaflets is a challenging problem due to their large movements throughout the cardiac cycle. This paper presents a motion-compensated imaging approach with COMB tagging for valve imaging. It involves an automatic method for tracking the full 3D motion of the valve plane so as to provide a motion-tracked acquisition scheme. Super-resolution enhancement is then applied to the slice-select direction so that the partial volume effect is minimised. In vivo results have shown that in terms of slice positioning, the method has equivalent accuracy to that of a manual approach whilst being quicker and more consistent. The use of multiple parallel COMB tags will permit adaptive imaging that follows tissue motion. This will have significant implications for quantification of myocardial perfusion and tracking anatomy, functions that are traditionally difficult in MRI.",
author = "Dowsey, {Andrew W.} and Jennifer Keegan and Mirna Lerotic and Simon Thom and David Firmin and Yang, {Guang Zhong}",
year = "2006",
doi = "10.1007/11866763_45",
language = "English",
isbn = "354044727X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "364--371",
editor = "Rasmus Larsen and Mads Nielsen and Jon Sporring",
booktitle = "Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006 - 9th International Conference, Proceedings",
address = "Germany",
note = "9th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2006 ; Conference date: 01-10-2006 Through 06-10-2006",
}