Conditional shape models for cardiac motion estimation

Coert Metz; Nora Baka; Hortense Kirisli; Michiel Schaap; Theo van Walsum; Stefan Klein; Lisan Neefjes; Nico Mollet; Boudewijn Lelieveldt; Marleen de Bruijne; Wiro Niessen

doi:10.1007/978-3-642-15705-9_55

Conditional shape models for cardiac motion estimation

Coert Metz, Nora Baka, Hortense Kirisli, Michiel Schaap, Theo van Walsum, Stefan Klein, Lisan Neefjes, Nico Mollet, Boudewijn Lelieveldt, Marleen de Bruijne, Wiro Niessen

Datalogisk Institut

10 Citationer (Scopus)

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.

Originalsprog	Engelsk
Titel	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010 : 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I
Redaktører	Tianzi Jiang, Nassir Navab, Josien P. W. Pluim, Max A. Viergever
Antal sider	8
Vol/bind	Part I
Forlag	Springer
Publikationsdato	2010
Sider	452-459
ISBN (Trykt)	978-3-642-15704-2
ISBN (Elektronisk)	978-3-642-15705-9
DOI	https://doi.org/10.1007/978-3-642-15705-9_55
Status	Udgivet - 2010
Begivenhed	13th International Conference on Medical Image Computing and Computer Assisted Intervention - Beijing, Kina Varighed: 20 sep. 2010 → 24 sep. 2010 Konferencens nummer: 13

Konference

Konference	13th International Conference on Medical Image Computing and Computer Assisted Intervention
Nummer	13
Land/Område	Kina
By	Beijing
Periode	20/09/2010 → 24/09/2010

Navn	Lecture notes in computer science
Nummer	6361
ISSN	0302-9743

Adgang til dokumentet

10.1007/978-3-642-15705-9_55

10.1007%2F978-3-642-15705-9_55.pdfForlagets udgivne version, 182 KB

Citationsformater

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. I T. Jiang, N. Navab, J. P. W. Pluim, & M. A. Viergever (red.), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I (Bind Part I, s. 452-459). Springer. Lecture notes in computer science Nr. 6361 https://doi.org/10.1007/978-3-642-15705-9_55

Conditional shape models for cardiac motion estimation. / Metz, Coert; Baka, Nora; Kirisli, Hortense et al.

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. red. / Tianzi Jiang; Nassir Navab; Josien P. W. Pluim; Max A. Viergever. Bind Part I Springer, 2010. s. 452-459 (Lecture notes in computer science; Nr. 6361).

Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › peer review

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. i T Jiang, N Navab, JPW Pluim & MA Viergever (red), Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. bind Part I, Springer, Lecture notes in computer science, nr. 6361, s. 452-459, 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, Kina, 20/09/2010. https://doi.org/10.1007/978-3-642-15705-9_55

Metz C, Baka N, Kirisli H, Schaap M, van Walsum T, Klein S et al. Conditional shape models for cardiac motion estimation. I Jiang T, Navab N, Pluim JPW, Viergever MA, red., Medical Image Computing and Computer-Assisted Intervention - MICCAI 2010: 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I. Bind Part I. Springer. 2010. s. 452-459. (Lecture notes in computer science; Nr. 6361). doi: 10.1007/978-3-642-15705-9_55

Metz, Coert ; Baka, Nora ; Kirisli, Hortense et al. / 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. red. / Tianzi Jiang ; Nassir Navab ; Josien P. W. Pluim ; Max A. Viergever. Bind Part I Springer, 2010. s. 452-459 (Lecture notes in computer science; Nr. 6361).

@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",

note = "13th International Conference on Medical Image Computing and Computer Assisted Intervention ; Conference date: 20-09-2010 Through 24-09-2010",

}

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

T2 - 13th International Conference on Medical Image Computing and Computer Assisted Intervention

Y2 - 20 September 2010 through 24 September 2010

ER -

Conditional shape models for cardiac motion estimation

Abstract

Konference

Adgang til dokumentet

Fingeraftryk

Citationsformater