Image-based Compensation for Involuntary Motion in Weight-bearing C-arm Cone-beam CT Scanning of Knees

Unberath M, Choi JH, Berger M, Maier A, Fahrig R (2015)

Publication Type: Conference contribution

Publication year: 2015

Journal

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Publisher: SPIE

Edited Volumes: Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Book Volume: 9413

Pages Range: 94130D-7

Conference Proceedings Title: Proc. SPIE Medical Imaging 2015

Event location: Orlando, FL

ISBN: 9781628415032

URI: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2015/Unberath15-ICF.pdf

DOI: 10.1117/12.2081559

Abstract

We previously introduced four fiducial marker-based strategies to compensate for involuntary knee-joint motion during weight-bearing C-arm CT scanning of the lower body. 2D methods showed significant reduction of motion-related artifacts, but 3D methods worked best. However, previous methods led to increased examination times and patient discomfort caused by the marker attachment process. Moreover, sub-optimal marker placement may lead to decreased marker detectability and therefore unstable motion estimates. In order to reduce overall patient discomfort, we developed a new image-based 2D projection shifting method. A C-arm cone-beam CT system was used to acquire projection images of five healthy volunteers at various flexion angles. Projection matrices for the horizontal scanning trajectory were calibrated using the Siemens standard PDS-2 phantom. The initial reconstruction was forward projected using maximum-intensity projections (MIP), yielding an estimate of a static scan. This estimate was then used to obtain the 2D projection shifts via registration. For the scan with the most motion, the proposed method reproduced the marker-based results with a mean error of 2.90 mm +/-1.43 mm (compared to a mean error of 4.10 mm +/-3.03 mm in the uncorrected case). Bone contour surrounding modeling clay layer was improved. The proposed method is a first step towards automatic image-based, marker-free motion-compensation.

Authors with CRIS profile

Mathias Unberath Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME) Martin Berger Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) (LME) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Stanford University US United States (USA) (US) Siemens Healthineers DE Germany (DE)

How to cite

APA:

Unberath, M., Choi, J.-H., Berger, M., Maier, A., & Fahrig, R. (2015). Image-based Compensation for Involuntary Motion in Weight-bearing C-arm Cone-beam CT Scanning of Knees. In Proc. SPIE Medical Imaging 2015 (pp. 94130D-7). Orlando, FL: SPIE.

MLA:

Unberath, Mathias, et al. "Image-based Compensation for Involuntary Motion in Weight-bearing C-arm Cone-beam CT Scanning of Knees." Proceedings of the SPIE Medical Imaging 2015, Orlando, FL SPIE, 2015. 94130D-7.

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