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Proceedings Paper

Image-based compensation for involuntary motion in weight-bearing C-arm cone-beam CT scanning of knees
Author(s): Mathias Unberath; Jang-Hwan Choi; Martin Berger; Andreas Maier; Rebecca Fahrig
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Paper 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.

Paper Details

Date Published: 20 March 2015
PDF: 7 pages
Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 94130D (20 March 2015); doi: 10.1117/12.2081559
Show Author Affiliations
Mathias Unberath, Stanford Univ. (United States)
Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Jang-Hwan Choi, Stanford Univ. (United States)
Martin Berger, Stanford Univ. (United States)
Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Andreas Maier, Friedrich-Alexander-Univ. Erlangen-Nürnberg (Germany)
Rebecca Fahrig, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 9413:
Medical Imaging 2015: Image Processing
Sébastien Ourselin; Martin A. Styner, Editor(s)

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