Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms

C. Bodensteiner; C. Darolti; H. Schumacher; L. Matthäus; A. Schweikard

doi:10.1007/978-3-540-75757-3_22

Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms

C. Bodensteiner, C. Darolti, H. Schumacher, L. Matthäus, A. Schweikard

Abstract

CT-images acquired by mobile C-arm devices can contain artefacts caused by positioning errors. We propose a data driven method based on iterative 3D-reconstruction and 2D/3D-registration to correct projection data inconsistencies. With a 2D/3D-registration algorithm, transformations are computed to align the acquired projection images to a previously reconstructed volume. In an iterative procedure, the reconstruction algorithm uses the results of the registration step. This algorithm also reduces small motion artefacts within 3D-reconstructions. Experiments with simulated projections from real patient data show the feasibility of the proposed method. In addition, experiments with real projection data acquired with an experimental robotised C-arm device have been performed with promising results.

Originalsprache	Englisch
Titel	MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
Seitenumfang	9
Band	4791
Herausgeber (Verlag)	Springer Verlag
Erscheinungsdatum	01.12.2007
Seiten	177-185
ISBN (Print)	978-3-540-75756-6
ISBN (elektronisch)	978-3-540-75757-3
DOIs	https://doi.org/10.1007/978-3-540-75757-3_22
Publikationsstatus	Veröffentlicht - 01.12.2007
Veranstaltung	10th International Conference on Medical Imaging and Computer-Assisted Intervention - Brisbane, Australien Dauer: 29.10.2007 → 02.11.2007 Konferenznummer: 71013

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10.1007/978-3-540-75757-3_22

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Bodensteiner, C., Darolti, C., Schumacher, H., Matthäus, L., & Schweikard, A. (2007). Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms. in MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 (Band 4791, S. 177-185). (Lecture Notes in Computer Science; Band 4791). Springer Verlag. https://doi.org/10.1007/978-3-540-75757-3_22

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title = "Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms",

abstract = "CT-images acquired by mobile C-arm devices can contain artefacts caused by positioning errors. We propose a data driven method based on iterative 3D-reconstruction and 2D/3D-registration to correct projection data inconsistencies. With a 2D/3D-registration algorithm, transformations are computed to align the acquired projection images to a previously reconstructed volume. In an iterative procedure, the reconstruction algorithm uses the results of the registration step. This algorithm also reduces small motion artefacts within 3D-reconstructions. Experiments with simulated projections from real patient data show the feasibility of the proposed method. In addition, experiments with real projection data acquired with an experimental robotised C-arm device have been performed with promising results.",

author = "C. Bodensteiner and C. Darolti and H. Schumacher and L. Matth{\"a}us and A. Schweikard",

year = "2007",

month = dec,

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doi = "10.1007/978-3-540-75757-3_22",

language = "English",

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series = "Lecture Notes in Computer Science",

publisher = "Springer Verlag",

pages = "177--185",

booktitle = "MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007",

note = "10th International Conference on Medical Imaging and Computer-Assisted Intervention , MICCAI 2007 ; Conference date: 29-10-2007 Through 02-11-2007",

}

Bodensteiner, C, Darolti, C, Schumacher, H, Matthäus, L & Schweikard, A 2007, Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms. in MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 . Bd. 4791, Lecture Notes in Computer Science, Bd. 4791, Springer Verlag, S. 177-185, 10th International Conference on Medical Imaging and Computer-Assisted Intervention , Brisbane, Queensland, Australien, 29.10.07. https://doi.org/10.1007/978-3-540-75757-3_22

Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms. / Bodensteiner, C.; Darolti, C.; Schumacher, H. et al.
MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 . Band 4791 Springer Verlag, 2007. S. 177-185 (Lecture Notes in Computer Science; Band 4791).

Publikation: Kapitel in Büchern/Berichten/Konferenzbänden › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms

AU - Bodensteiner, C.

AU - Darolti, C.

AU - Schumacher, H.

AU - Matthäus, L.

AU - Schweikard, A.

N1 - Conference code: 71013

PY - 2007/12/1

Y1 - 2007/12/1

N2 - CT-images acquired by mobile C-arm devices can contain artefacts caused by positioning errors. We propose a data driven method based on iterative 3D-reconstruction and 2D/3D-registration to correct projection data inconsistencies. With a 2D/3D-registration algorithm, transformations are computed to align the acquired projection images to a previously reconstructed volume. In an iterative procedure, the reconstruction algorithm uses the results of the registration step. This algorithm also reduces small motion artefacts within 3D-reconstructions. Experiments with simulated projections from real patient data show the feasibility of the proposed method. In addition, experiments with real projection data acquired with an experimental robotised C-arm device have been performed with promising results.

AB - CT-images acquired by mobile C-arm devices can contain artefacts caused by positioning errors. We propose a data driven method based on iterative 3D-reconstruction and 2D/3D-registration to correct projection data inconsistencies. With a 2D/3D-registration algorithm, transformations are computed to align the acquired projection images to a previously reconstructed volume. In an iterative procedure, the reconstruction algorithm uses the results of the registration step. This algorithm also reduces small motion artefacts within 3D-reconstructions. Experiments with simulated projections from real patient data show the feasibility of the proposed method. In addition, experiments with real projection data acquired with an experimental robotised C-arm device have been performed with promising results.

UR - https://www.scopus.com/record/display.uri?eid=2-s2.0-38149137290&origin=inward&txGid=8a876e3d09dc4f7b1960a691bce000a8

U2 - 10.1007/978-3-540-75757-3_22

DO - 10.1007/978-3-540-75757-3_22

M3 - Conference contribution

SN - 978-3-540-75756-6

VL - 4791

T3 - Lecture Notes in Computer Science

SP - 177

EP - 185

BT - MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007

PB - Springer Verlag

T2 - 10th International Conference on Medical Imaging and Computer-Assisted Intervention

Y2 - 29 October 2007 through 2 November 2007

ER -

Motion and Positional Error Correction for Cone Beam 3D-Reconstruction with Mobile C-Arms

Abstract

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