Image-based deformable motion compensation for interventional cone-beam CT

A. Sisniega; S. Capostagno; W. Zbijewski; C. R. Weiss; T. Ehtiati; J. H. Siewerdsen

doi:10.1117/12.2513446

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1 March 2019 Image-based deformable motion compensation for interventional cone-beam CT

A. Sisniega, S. Capostagno, W. Zbijewski, C. R. Weiss, T. Ehtiati, J. H. Siewerdsen

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Proceedings Volume 10948, Medical Imaging 2019: Physics of Medical Imaging; 109481O (2019) https://doi.org/10.1117/12.2513446
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

Purpose: Interventional cone-beam CT (CBCT) is used for 3D guidance in interventional radiology (IR) procedures in the abdomen, with extended presence in trans-arterial chemoembolization (TACE) interventions for liver cancer. Image quality in this scenario is challenged by complex motion of soft-tissue abdominal structures, and by long acquisition times. We propose an image-based approach to estimate complex deformable motion through a combination of locally rigid motion trajectories. Methods: Deformable motion is estimated by minimizing a multi-region autofocus cost function. Motion is considered locally rigid for each region of interest (ROI) and the deformable motion field is obtained through spatial spline-based interpolation of the local trajectories. The multi-component cost function includes two regularization terms; one to penalize abrupt temporal transitions, and another to penalize abrupt spatial changes in the trajectory. Performance of deformable motion compensation was assessed in simulation studies with a digital abdomen phantom featuring a motion-induced deformable liver in static surrounding anatomy. Spherical inserts (4 – 12 mm diameter, -100 – 100 HU contrast) were placed in the liver. Image quality was evaluated by structural similarity (SSIM) with the static image as reference. Results: Motion compensated liver images showed better delineation of structure boundaries and recovery of distorted spherical shapes compared to their motion-corrupted counterparts. Consistent increase in SSIM was observed after motion compensation for the range of motion amplitudes studied (4 mm to 10 mm), showing 11% and 26% greater SSIM for 4 mm and 10 mm motion, respectively. Conclusion: The results indicate feasibility of image-based deformable motion compensation in soft-tissue abdominal CBCT imaging.

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A. Sisniega, S. Capostagno, W. Zbijewski, C. R. Weiss, T. Ehtiati, and J. H. Siewerdsen "Image-based deformable motion compensation for interventional cone-beam CT", Proc. SPIE 10948, Medical Imaging 2019: Physics of Medical Imaging, 109481O (1 March 2019); https://doi.org/10.1117/12.2513446

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