The response of MRI contrast parameters in in vitro tissues and tissue mimicking phantoms to fractionation by histotripsy.

Abstract

Histotripsy is a non-invasive, focused ultrasound lesioning technique that can ablate precise volumes of soft tissue using a novel mechanical fractionation mechanism. Previous research suggests that magnetic resonance imaging (MRI) may be a sensitive image-based feedback mechanism for histotripsy. However, there are insufficient data to form some unified understanding of the response of the MR contrast mechanisms in tissues to histotripsy. In this paper, we investigate the response of the MR contrast parameters R1, R2, and the apparent diffusion coefficient (ADC) to various treatment levels of histotripsy in in vitro porcine liver, kidney, muscle, and blood clot as well in formulations of bovine red blood cells suspended in agar gel. We also make a histological analysis of histotripsy lesions in porcine liver. We find that R2 and the ADC are both sensitive to ablation in all materials tested here, and the degree of response varies with tissue type. Correspondingly, under histologic analysis, the porcine liver exhibited various levels of mechanical disruption and necrotic debris that are characteristic of histotripsy. While the area of intact red blood cells and nuclei found within these lesions both decreased with increasing amounts of treatment, the area of red blood cells decreased much more rapidly than the area of intact nuclei. Additionally, the decrease in area of intact red blood cells saturated at the same treatment levels at which the response of the R2 saturated while the area of intact nuclei appeared to vary linearly with the response of the ADC.

DOI: 10.1088/1361-6560/aa81ed

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Cite this paper

@article{Allen2017TheRO, title={The response of MRI contrast parameters in in vitro tissues and tissue mimicking phantoms to fractionation by histotripsy.}, author={Steven P. Allen and Eli Vlaisavljevich and Jiaqi Shi and Luis Hernandez-Garcia and Charles A. Cain and Zhen Xu and Timothy L. Hall}, journal={Physics in medicine and biology}, year={2017}, volume={62 17}, pages={7167-7180} }