@inproceedings{6480c92f340f4fb8bf32905889cb2200,
title = "Out-of-plane motion compensation in cine-MRI",
abstract = "Significant socio-economic burden of colonic motility disorders necessitates in-depth analysis of this pathology. Current analysis techniques are based on diameter measurements of colonic lumen on cine-MR images. Interleaved multi-plane acquisition makes it difficult to perform simultaneous measurements on the line of plane intersections due to the out-of-plane motion (OPM) caused by respiration affecting the underlying anatomy. Low temporal acquisition rate and dark-banding artifact are the challenging factors for OPM compensation. In this paper, we propose the use of manifold learning in combination with in-plane motion tracking for estimating OPM. We evaluate the effectiveness of our approach on 8 MR patient data sets. Experimental results show the good performance of our approach. The proposed method is independent of the acquisition rate and is not limited to this specific application.",
keywords = "Motion compensation, functional cine magnetic resonance imaging, manifold learning, motility",
author = "Mehmet Yigitsoy and Sonja Kirchhoff and Reiser, \{Maximilian F.\} and Nassir Navab",
year = "2012",
doi = "10.1007/978-3-642-33612-6\_12",
language = "English",
isbn = "9783642336119",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "107--115",
booktitle = "Abdominal Imaging",
note = "4th International Workshop on Computational and Clinical Applications in Abdominal Imaging, Held in Conjunction with the 15th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2012 ; Conference date: 01-10-2012 Through 01-10-2012",
}