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Proceedings Paper

Investigation of 3D histograms of oriented gradients for image-based registration of CT with interventional CBCT
Author(s): Barbara Trimborn; Ivo Wolf; Denis Abu-Sammour; Thomas Henzler; Lothar R. Schad; Frank G. Zöllner
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Paper Abstract

Image registration of preprocedural contrast-enhanced CTs to intraprocedual cone-beam computed tomography (CBCT) can provide additional information for interventional liver oncology procedures such as transcatheter arterial chemoembolisation (TACE). In this paper, a novel similarity metric for gradient-based image registration is proposed. The metric relies on the patch-based computation of histograms of oriented gradients (HOG) building the basis for a feature descriptor. The metric was implemented in a framework for rigid 3D-3D-registration of pre-interventional CT with intra-interventional CBCT data obtained during the workflow of a TACE. To evaluate the performance of the new metric, the capture range was estimated based on the calculation of the mean target registration error and compared to the results obtained with a normalized cross correlation metric. The results show that 3D HOG feature descriptors are suitable as image-similarity metric and that the novel metric can compete with established methods in terms of registration accuracy

Paper Details

Date Published: 3 March 2017
PDF: 9 pages
Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101350C (3 March 2017); doi: 10.1117/12.2255601
Show Author Affiliations
Barbara Trimborn, Hochschule Mannheim (Germany)
Heidelberg Univ. (Germany)
Ivo Wolf, Hochschule Mannheim (Germany)
Denis Abu-Sammour, Hochschule Mannheim (Germany)
Thomas Henzler, Heidelberg Univ. (Germany)
Lothar R. Schad, Heidelberg Univ. (Germany)
Frank G. Zöllner, Heidelberg Univ. (Germany)

Published in SPIE Proceedings Vol. 10135:
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster III; Baowei Fei, Editor(s)

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