TY - GEN
T1 - Unsupervised inline analysis of cardiac perfusion MRI
AU - Xue, Hui
AU - Zuehlsdorff, Sven
AU - Kellman, Peter
AU - Arai, Andrew
AU - Nielles-Vallespin, Sonia
AU - Chefdhotel, Christophe
AU - Lorenz, Christine H.
AU - Guehring, Jens
PY - 2009
Y1 - 2009
N2 - In this paper we first discuss the technical challenges preventing an automated analysis of cardiac perfusion MR images and subsequently present a fully unsupervised workflow to address the problems. The proposed solution consists of key-frame detection, consecutive motion compensation, surface coil inhomogeneity correction using proton density images and robust generation of pixel-wise perfusion parameter maps. The entire processing chain has been implemented on clinical MR systems to achieve unsupervised inline analysis of perfusion MRI. Validation results are reported for 260 perfusion time series, demonstrating feasibility of the approach.
AB - In this paper we first discuss the technical challenges preventing an automated analysis of cardiac perfusion MR images and subsequently present a fully unsupervised workflow to address the problems. The proposed solution consists of key-frame detection, consecutive motion compensation, surface coil inhomogeneity correction using proton density images and robust generation of pixel-wise perfusion parameter maps. The entire processing chain has been implemented on clinical MR systems to achieve unsupervised inline analysis of perfusion MRI. Validation results are reported for 260 perfusion time series, demonstrating feasibility of the approach.
UR - http://www.scopus.com/inward/record.url?scp=77952258299&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77952258299&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-04271-3_90
DO - 10.1007/978-3-642-04271-3_90
M3 - Conference contribution
SN - 3642042708
SN - 9783642042706
VL - 5762 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 741
EP - 749
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
T2 - 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2009
Y2 - 20 September 2009 through 24 September 2009
ER -