TY - GEN
T1 - Collaborative tracking for MRI-guided robotic intervention on the beating heart
AU - Zhou, Y.
AU - Yeniaras, E.
AU - Tsiamyrtzis, P.
AU - Tsekos, N.
AU - Pavlidis, I.
PY - 2010
Y1 - 2010
N2 - Magnetic Resonance Imaging (MRI)-guided robotic interventions for aortic valve repair promise to dramatically reduce time and cost of operations when compared to endoscopically guided (EG) procedures. A challenging issue is real-time and robust tracking of anatomical landmark points. The interventional tool should be constantly adjusted via a closed feedback control loop to avoid harming these points while valve repair is taking place in the beating heart. A Bayesian network of particle filter trackers proves capable to produce real-time, yet robust behavior. The algorithm is extremely flexible and general - more sophisticated behaviors can be produced by simply increasing the cardinality of the tracking network. Experimental results on 16 MRI cine sequences highlight the promise of the method.
AB - Magnetic Resonance Imaging (MRI)-guided robotic interventions for aortic valve repair promise to dramatically reduce time and cost of operations when compared to endoscopically guided (EG) procedures. A challenging issue is real-time and robust tracking of anatomical landmark points. The interventional tool should be constantly adjusted via a closed feedback control loop to avoid harming these points while valve repair is taking place in the beating heart. A Bayesian network of particle filter trackers proves capable to produce real-time, yet robust behavior. The algorithm is extremely flexible and general - more sophisticated behaviors can be produced by simply increasing the cardinality of the tracking network. Experimental results on 16 MRI cine sequences highlight the promise of the method.
UR - http://www.scopus.com/inward/record.url?scp=78349273981&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78349273981&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15711-0_44
DO - 10.1007/978-3-642-15711-0_44
M3 - Conference contribution
C2 - 20879419
AN - SCOPUS:78349273981
SN - 3642157106
SN - 9783642157103
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 351
EP - 358
BT - Medical Image Computing and Computer-Assisted Intervention, MICCAI2010 - 13th International Conference, Proceedings
T2 - 13th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2010
Y2 - 20 September 2010 through 24 September 2010
ER -