TY - CHAP
T1 - Registration with adjacent anatomical structures for cardiac resynchronization therapy guidance
AU - Toth, Daniel
AU - Panayiotou, Maria
AU - Brost, Alexander
AU - Behar, Jonathan Michael
AU - Rinaldi, Christopher Aldo
AU - Rhode, Kawaldeep Singh
AU - Mountney, Peter
PY - 2017
Y1 - 2017
N2 - The clinical applications and benefits of multi-modal image registration are wide-ranging and well established. Current image based approaches exploit cross-modality information, such as landmarks or anatomical structures, which is visible in both modalities. A lack of cross-modality information can prohibit accurate automatic registration. This paper proposes a novel approach for MR to X-ray image registration which uses prior knowledge of adjacent anatomical structures to enable registration without cross-modality image information. The registration of adjacent structures formulated as a partial surface registration problem which is solved using a globally optimal ICP method. The practical clinical application of the approach is demonstrated on an image guided cardiac resynchronization therapy procedure. The left ventricle (segmented from pre-operative MR) is registered to the coronary vessel tree (extracted from intra-operative fluoroscopic images). The proposed approach is validated on synthetic and phantom data, where the results show a good comparison with the ground truth registrations. The vertex-to-vertex MAE was 3.28 ± 1.18 mm for 10 X-ray image pairs of the phantom.
AB - The clinical applications and benefits of multi-modal image registration are wide-ranging and well established. Current image based approaches exploit cross-modality information, such as landmarks or anatomical structures, which is visible in both modalities. A lack of cross-modality information can prohibit accurate automatic registration. This paper proposes a novel approach for MR to X-ray image registration which uses prior knowledge of adjacent anatomical structures to enable registration without cross-modality image information. The registration of adjacent structures formulated as a partial surface registration problem which is solved using a globally optimal ICP method. The practical clinical application of the approach is demonstrated on an image guided cardiac resynchronization therapy procedure. The left ventricle (segmented from pre-operative MR) is registered to the coronary vessel tree (extracted from intra-operative fluoroscopic images). The proposed approach is validated on synthetic and phantom data, where the results show a good comparison with the ground truth registrations. The vertex-to-vertex MAE was 3.28 ± 1.18 mm for 10 X-ray image pairs of the phantom.
UR - http://www.scopus.com/inward/record.url?scp=85011382372&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-52718-5_14
DO - 10.1007/978-3-319-52718-5_14
M3 - Conference paper
AN - SCOPUS:85011382372
SN - 9783319527178
VL - 10124 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 127
EP - 134
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer‐Verlag Berlin Heidelberg
T2 - 7th International Workshop on Statistical Atlases and Computational Models of the Heart Imaging and Modelling Challenges, STACOM 2016 Held in Conjunction with 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016
Y2 - 17 October 2016 through 21 October 2016
ER -