학술논문

Development and validation of a MRgHIFU non-invasive tissue acoustic property estimation technique.
Document Type
Academic Journal
Author
Johnson SL; a Department of Bioengineering , University of Utah , Salt Lake City , UT , USA ;; Dillon C; b Department of Radiology and Imaging Sciences , University of Utah , Salt Lake City , UT , USA ;; Odéen H; b Department of Radiology and Imaging Sciences , University of Utah , Salt Lake City , UT , USA ;; Parker D; b Department of Radiology and Imaging Sciences , University of Utah , Salt Lake City , UT , USA ;; Christensen D; a Department of Bioengineering , University of Utah , Salt Lake City , UT , USA ;; c Department of Electrical and Computer Engineering , University of Utah , Salt Lake City , UT , USA.; Payne A; b Department of Radiology and Imaging Sciences , University of Utah , Salt Lake City , UT , USA ;
Source
Publisher: Informa Healthcare Country of Publication: England NLM ID: 8508395 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1464-5157 (Electronic) Linking ISSN: 02656736 NLM ISO Abbreviation: Int J Hyperthermia Subsets: MEDLINE
Subject
Language
English
Abstract
MR-guided high-intensity focussed ultrasound (MRgHIFU) non-invasive ablative surgeries have advanced into clinical trials for treating many pathologies and cancers. A remaining challenge of these surgeries is accurately planning and monitoring tissue heating in the face of patient-specific and dynamic acoustic properties of tissues. Currently, non-invasive measurements of acoustic properties have not been implemented in MRgHIFU treatment planning and monitoring procedures. This methods-driven study presents a technique using MR temperature imaging (MRTI) during low-temperature HIFU sonications to non-invasively estimate sample-specific acoustic absorption and speed of sound values in tissue-mimicking phantoms. Using measured thermal properties, specific absorption rate (SAR) patterns are calculated from the MRTI data and compared to simulated SAR patterns iteratively generated via the Hybrid Angular Spectrum (HAS) method. Once the error between the simulated and measured patterns is minimised, the estimated acoustic property values are compared to the true phantom values obtained via an independent technique. The estimated values are then used to simulate temperature profiles in the phantoms, and compared to experimental temperature profiles. This study demonstrates that trends in acoustic absorption and speed of sound can be non-invasively estimated with average errors of 21% and 1%, respectively. Additionally, temperature predictions using the estimated properties on average match within 1.2 °C of the experimental peak temperature rises in the phantoms. The positive results achieved in tissue-mimicking phantoms presented in this study indicate that this technique may be extended to in vivo applications, improving HIFU sonication temperature rise predictions and treatment assessment.
Competing Interests: Declarations of Interest The authors report no conflicts of interest.