DOI: 10.5061/dryad.b26q1
title: Data from: An ultrasound image-based dynamic fusion modeling method for predicting the quantitative impact of in vivo liver motion on intraoperative HIFU therapies: investigations in a porcine model

description: Organ motion is a key component in the treatment of abdominal tumors by
 High Intensity Focused Ultrasound (HIFU), since it may influence the
 safety, efficacy and treatment time. Here we report the development in a
 porcine model of an Ultrasound (US) image-based dynamic fusion modeling
 method for predicting the effect of in vivo motion on intraoperative HIFU
 treatments performed in the liver in conjunction with surgery. A speckle
 tracking method was used on US images to quantify in vivo liver motions
 occurring intraoperatively during breathing and apnea. A fusion modeling
 of HIFU treatments was implemented by merging dynamic in vivo motion data
 in a numerical modeling of HIFU treatments. Two HIFU strategies were
 studied: a spherical focusing delivering 49 juxtapositions of 5-second
 HIFU exposures and a toroidal focusing using 1 single 40-second HIFU
 exposure. Liver motions during breathing were spatially homogenous and
 could be approximated to a rigid motion mainly encountered in the
 cranial-caudal direction (f = 0.20Hz, magnitude &gt;13mm). Elastic
 liver motions due to cardiovascular activity, although negligible, were
 detectable near millimeter-wide sus-hepatic veins (f = 0.96Hz, magnitude
 &lt;1mm). The fusion modeling quantified the deleterious effects of
 respiratory motions on the size and homogeneity of a standard
 “cigar-shaped” millimetric lesion usually predicted after a 5-second
 single spherical HIFU exposure in stationary tissues (Dice Similarity
 Coefficient: DSC&lt;45%). This method assessed the ability to enlarge
 HIFU ablations during respiration, either by juxtaposing “cigar-shaped”
 lesions with spherical HIFU exposures, or by generating one large single
 lesion with toroidal HIFU exposures (DSC&gt;75%). Fusion modeling
 predictions were preliminarily validated in vivo and showed the potential
 of using a long-duration toroidal HIFU exposure to accelerate the ablation
 process during breathing (from 0.5 to 6 cm3·min-1). To improve HIFU
 treatment control, dynamic fusion modeling may be interesting for
 assessing numerically focusing strategies and motion compensation
 techniques in more realistic conditions.
description: 1_US_acquisitions_in-vivo_liver_motionsUltrasound images (B-mode) of in-vivo liver tissues during respiration and apnea (porcine model); data of liver motion magnitudes obtained with an ultrasound speckle tracking method; statistical analyses2_Fusion_Modeling_In-vivo_Liver_MotionFusion modeling data of HIFU treatment in moving liver tissues (porcine model) for 2 HIFU focusing strategies: a spherical and a toroidal focusing. Simulated pressure fields, temperature and thermal dose maps, motion data, statistical analyses3_Preliminary_In-vivo_validation_of_Fusion_ModelingIn-vivo validation in the porcine model of the fusion modeling method, for 2 differents HIFU focusing strategies: spherical and toroidal. In each subfolder are stored: photos of the in-vivo set-up, ultrasound images of in-vivo liver tissues during respiration (pictures and movies, B-mode), photos of macroscopic analyses on liver gross samples, fusion modeling data for each in-vivo experiment (including simulated ultrasound pressure fields, temperature and thermal dose maps after the end of the HIFU treatment, and in-vivo liver motion data accounted for the fusion modeling)