Investigation of 3D histograms of oriented gradients for image-based registration of CT with interventional CBCT

Barbara Trimborn; Ivo Wolf; Denis Abu-Sammour; Thomas Henzler; Lothar R. Schad; Frank G. Zöllner

doi:10.1117/12.2255601

3 March 2017 Investigation of 3D histograms of oriented gradients for image-based registration of CT with interventional CBCT

Barbara Trimborn, Ivo Wolf, Denis Abu-Sammour, Thomas Henzler, Lothar R. Schad, Frank G. Zöllner

Author Affiliations +

Proceedings Volume 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling; 101350C (2017) https://doi.org/10.1117/12.2255601
Event: SPIE Medical Imaging, 2017, Orlando, Florida, United States

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

Citation Download Citation

Barbara Trimborn, Ivo Wolf, Denis Abu-Sammour, Thomas Henzler, Lothar R. Schad, and Frank G. Zöllner "Investigation of 3D histograms of oriented gradients for image-based registration of CT with interventional CBCT", Proc. SPIE 10135, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, 101350C (3 March 2017); https://doi.org/10.1117/12.2255601

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