Standard
Conditional shape models for cardiac motion estimation. / Metz, Coert; Baka, Nora; Kirisli, Hortense; Schaap, Michiel; van Walsum, Theo; Klein, Stefan; Neefjes, Lisan; Mollet, Nico; Lelieveldt, Boudewijn; de Bruijne, Marleen; Niessen, Wiro.
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. ed. / Tianzi Jiang; Nassir Navab; Josien P. W. Pluim; Max A. Viergever. Vol. Part I Springer, 2010. p. 452-459 (Lecture notes in computer science; No. 6361).
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Harvard
Metz, C, Baka, N, Kirisli, H, Schaap, M, van Walsum, T, Klein, S, Neefjes, L, Mollet, N, Lelieveldt, B
, de Bruijne, M & Niessen, W 2010,
Conditional shape models for cardiac motion estimation. in T Jiang, N Navab, JPW Pluim & MA Viergever (eds),
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. vol. Part I, Springer, Lecture notes in computer science, no. 6361, pp. 452-459, 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China,
20/09/2010.
https://doi.org/10.1007/978-3-642-15705-9_55APA
Metz, C., Baka, N., Kirisli, H., Schaap, M., van Walsum, T., Klein, S., Neefjes, L., Mollet, N., Lelieveldt, B.
, de Bruijne, M., & Niessen, W. (2010).
Conditional shape models for cardiac motion estimation. In T. Jiang, N. Navab, J. P. W. Pluim, & M. A. Viergever (Eds.),
Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I (Vol. Part I, pp. 452-459). Springer. Lecture notes in computer science No. 6361
https://doi.org/10.1007/978-3-642-15705-9_55Vancouver
Metz C, Baka N, Kirisli H, Schaap M, van Walsum T, Klein S et al.
Conditional shape models for cardiac motion estimation. In Jiang T, Navab N, Pluim JPW, Viergever MA, editors, Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. Vol. Part I. Springer. 2010. p. 452-459. (Lecture notes in computer science; No. 6361).
https://doi.org/10.1007/978-3-642-15705-9_55Author
Metz, Coert ; Baka, Nora ; Kirisli, Hortense ; Schaap, Michiel ; van Walsum, Theo ; Klein, Stefan ; Neefjes, Lisan ; Mollet, Nico ; Lelieveldt, Boudewijn ; de Bruijne, Marleen ; Niessen, Wiro. / Conditional shape models for cardiac motion estimation. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. editor / Tianzi Jiang ; Nassir Navab ; Josien P. W. Pluim ; Max A. Viergever. Vol. Part I Springer, 2010. pp. 452-459 (Lecture notes in computer science; No. 6361).
Bibtex
@inproceedings{42311310a18c11df928f000ea68e967b,
title = "Conditional shape models for cardiac motion estimation",
abstract = "We propose a conditional statistical shape model to predict patient specific cardiac motion from the 3D end-diastolic CTA scan. The model is built from 4D CTA sequences by combining atlas based segmentation and 4D registration. Cardiac motion estimation is, for example, relevant in the dynamic alignment of pre-operative CTA data with intra-operative X-ray imaging. Due to a trend towards prospective electrocardiogram gating techniques, 4D imaging data, from which motion information could be extracted, is not commonly available. The prediction of motion from shape information is thus relevant for this purpose. Evaluation of the accuracy of the predicted motion was performed using CTA scans of 50 patients, showing an average accuracy of 1.1 mm.",
author = "Coert Metz and Nora Baka and Hortense Kirisli and Michiel Schaap and {van Walsum}, Theo and Stefan Klein and Lisan Neefjes and Nico Mollet and Boudewijn Lelieveldt and {de Bruijne}, Marleen and Wiro Niessen",
year = "2010",
doi = "10.1007/978-3-642-15705-9_55",
language = "English",
isbn = "978-3-642-15704-2",
volume = "Part I",
series = "Lecture notes in computer science",
publisher = "Springer",
number = "6361",
pages = "452--459",
editor = "Tianzi Jiang and Nassir Navab and Pluim, {Josien P. W.} and Viergever, {Max A.}",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010",
address = "Switzerland",
note = "null ; Conference date: 20-09-2010 Through 24-09-2010",
}
RIS
TY - GEN
T1 - Conditional shape models for cardiac motion estimation
AU - Metz, Coert
AU - Baka, Nora
AU - Kirisli, Hortense
AU - Schaap, Michiel
AU - van Walsum, Theo
AU - Klein, Stefan
AU - Neefjes, Lisan
AU - Mollet, Nico
AU - Lelieveldt, Boudewijn
AU - de Bruijne, Marleen
AU - Niessen, Wiro
N1 - Conference code: 13
PY - 2010
Y1 - 2010
N2 - We propose a conditional statistical shape model to predict patient specific cardiac motion from the 3D end-diastolic CTA scan. The model is built from 4D CTA sequences by combining atlas based segmentation and 4D registration. Cardiac motion estimation is, for example, relevant in the dynamic alignment of pre-operative CTA data with intra-operative X-ray imaging. Due to a trend towards prospective electrocardiogram gating techniques, 4D imaging data, from which motion information could be extracted, is not commonly available. The prediction of motion from shape information is thus relevant for this purpose. Evaluation of the accuracy of the predicted motion was performed using CTA scans of 50 patients, showing an average accuracy of 1.1 mm.
AB - We propose a conditional statistical shape model to predict patient specific cardiac motion from the 3D end-diastolic CTA scan. The model is built from 4D CTA sequences by combining atlas based segmentation and 4D registration. Cardiac motion estimation is, for example, relevant in the dynamic alignment of pre-operative CTA data with intra-operative X-ray imaging. Due to a trend towards prospective electrocardiogram gating techniques, 4D imaging data, from which motion information could be extracted, is not commonly available. The prediction of motion from shape information is thus relevant for this purpose. Evaluation of the accuracy of the predicted motion was performed using CTA scans of 50 patients, showing an average accuracy of 1.1 mm.
U2 - 10.1007/978-3-642-15705-9_55
DO - 10.1007/978-3-642-15705-9_55
M3 - Article in proceedings
SN - 978-3-642-15704-2
VL - Part I
T3 - Lecture notes in computer science
SP - 452
EP - 459
BT - Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010
A2 - Jiang, Tianzi
A2 - Navab, Nassir
A2 - Pluim, Josien P. W.
A2 - Viergever, Max A.
PB - Springer
Y2 - 20 September 2010 through 24 September 2010
ER -
