Volume 3 Supplement 1
A framework for slow physiological motion compensation during HIFU interventions in the liver: proof of concept
© Zachiu et al; licensee BioMed Central Ltd. 2015
Published: 30 June 2015
While respiratory motion compensation for HIFU interventions for liver cancer therapy has been extensively studied, the influence of slow physiological motion, such as peristalsis, has so far been largely neglected. During the lengthy intervention, the magnitude of the latter can exceed acceptable therapeutic margins and lead to a substantial mismatch between planned ablation volume, thermal dose estimates and the measured non-perfused volume (NPV). Given the episodic nature of a HIFU intervention, this study proposes the integration of a 3D motion compensation procedure based on MR-images for slow physiological motion and validates the approach on in vivo ablations on a porcine liver.
A volumetric HIFU ablation was completed over a time span of 2h using a Phillips Sonalleve system with a respiratory gating strategy for both energy delivery and all MR-imaging. A 3D image was acquired before the first sonication, as well as after each sonication (Δt=5min) to track slow physiological motion. The estimated motion fields were used to: 1) Estimate on the planning image the position of the true ablated anatomy; 2) Register the temperature maps into the initial reference position in order to compute a correct thermal dose estimate, and 3) Register the NPV to the initial position.
Assessment of 3D liver displacements
Liver displacements were estimated using an optical flow algorithm applied on 3D MR images.
MR imaging protocol
3D T1-weighted images were acquired on a 1.5T Philips Achieva MR scanner (Philips Healthcare, Best, The Netherlands) using the following protocol: TE=2ms, TR= 4.3ms, matrix size=192x192x75, FA=10°, voxel size=2x2x2mm3.
Results and conclusions
This work was supported by the STW OnTrack grant.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.