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

N'Djin WA, Chapelon J, Melodelima D

Date Published: September 24, 2015

DOI: http://dx.doi.org/10.5061/dryad.b26q1

 

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Title 1_US_acquisitions_in-vivo_liver_motions
Downloaded 6 times
Description Ultrasound 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 analyses
Download 1_US_acquisitions_in-vivo_liver_motions.zip (306.5 Mb)
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Title 2_Fusion_Modeling_In-vivo_Liver_Motion
Downloaded 8 times
Description Fusion 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 analyses
Download 2_Fusion_Modeling_In-vivo_Liver_Motion.zip (215.4 Mb)
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Title 3_Preliminary_In-vivo_validation_of_Fusion_Modeling
Downloaded 5 times
Description In-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)
Download 3_Preliminary_In-vivo_validation_of_Fusio...ng.zip (380.7 Mb)
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When using this data, please cite the original publication:

N'Djin WA, Chapelon J, Melodelima D (2015) 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. PLOS ONE 10(9): e0137317. http://dx.doi.org/10.1371/journal.pone.0137317

Additionally, please cite the Dryad data package:

N'Djin WA, Chapelon J, Melodelima D (2015) 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. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.b26q1
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