TY - GEN
T1 - Multiphase liver registration from geodesic distance maps and biomechanical modelling
AU - Bano, Jordan
AU - Nicolau, Stéphane A.
AU - Hostettler, Alexandre
AU - Doignon, Christophe
AU - Marescaux, Jacques
AU - Soler, Luc
PY - 2013
Y1 - 2013
N2 - Preoperative planning for surgery is usually performed according to multiphase CT acquisitions: liver arteries and liver veins are provided from two different contrasted CT images. However, these images must be registered as they are acquired at breath hold, which are usually not identical. In this paper, we tackle this issue by providing a non-rigid registration method between the 3D liver models extracted from both preoperative images. This method is based on geodesic distance maps according to relevant landmarks and is divided in two steps: an original deformation field computation on liver surface according to geodesic distance and a biomechanical deformation of a volume mesh using our deformation field. We evaluate our method using four sets of images illustrating our clinical context. Results show that the average registration accuracy is below 1 mm for liver surface and within 5 mm for liver vessels.
AB - Preoperative planning for surgery is usually performed according to multiphase CT acquisitions: liver arteries and liver veins are provided from two different contrasted CT images. However, these images must be registered as they are acquired at breath hold, which are usually not identical. In this paper, we tackle this issue by providing a non-rigid registration method between the 3D liver models extracted from both preoperative images. This method is based on geodesic distance maps according to relevant landmarks and is divided in two steps: an original deformation field computation on liver surface according to geodesic distance and a biomechanical deformation of a volume mesh using our deformation field. We evaluate our method using four sets of images illustrating our clinical context. Results show that the average registration accuracy is below 1 mm for liver surface and within 5 mm for liver vessels.
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U2 - 10.1007/978-3-642-41083-3_19
DO - 10.1007/978-3-642-41083-3_19
M3 - Conference contribution
AN - SCOPUS:84886457123
SN - 9783642410826
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 165
EP - 174
BT - Abdominal Imaging
T2 - 5th International Workshop on Abdominal Imaging: Computation and Clinical Applications, Held in Conjunction with 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013
Y2 - 22 September 2013 through 22 September 2013
ER -