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.

Original language	English
Title of host publication	MICCAI 2007: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007
Number of pages	9
Volume	4791
Publisher	Springer Verlag
Publication date	01.12.2007
Pages	177-185
ISBN (Print)	978-3-540-75756-6
ISBN (Electronic)	978-3-540-75757-3
DOIs	https://doi.org/10.1007/978-3-540-75757-3_22
Publication status	Published - 01.12.2007
Event	10th International Conference on Medical Imaging and Computer-Assisted Intervention - Brisbane, Australia Duration: 29.10.2007 → 02.11.2007 Conference number: 71013

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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 (Vol. 4791, pp. 177-185). (Lecture Notes in Computer Science; Vol. 4791). Springer Verlag. https://doi.org/10.1007/978-3-540-75757-3_22

@inproceedings{e78da8f97c7f47379bd48faed3ca0091,

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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language = "English",

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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",

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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 . vol. 4791, Lecture Notes in Computer Science, vol. 4791, Springer Verlag, pp. 177-185, 10th International Conference on Medical Imaging and Computer-Assisted Intervention , Brisbane, Queensland, Australia, 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 . Vol. 4791 Springer Verlag, 2007. p. 177-185 (Lecture Notes in Computer Science; Vol. 4791).

Research output: Chapters in Books/Reports/Conference Proceedings › Conference contribution › peer-review

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

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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.

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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

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