Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy
The agreement between MR-ARFI measurements and simulations demonstrates that HAS can predict the <i>in vivo</i> focal location in heterogeneous tissues, though accurate patient-specific properties are needed to improve predictions of tissue displacement magnitude. Tools developed in this study could be used to streamline MRgFUS treatment planning and optimization, for biomechanical property estimation, and in developing phase aberration correction techniques.
Authors
- Allison Payne (ORCID: https://orcid.org/0000-0002-7724-5001)
- Christopher R. Dillon (ORCID: https://orcid.org/0000-0002-1195-0015)
- Meredith R. Kline (ORCID: https://orcid.org/0000-0003-4040-2066)
- C. Nelson
Institutions
- Brigham Young University (US)
- University of Utah (US)
Publication Details
- Journal
- International Journal of Hyperthermia
- Published
- 2025-01-22
- DOI
- https://doi.org/10.1080/02656736.2025.2452927
- Citations
- 1
- Primary Topic
- Ultrasound and Hyperthermia Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.67
Funders
- National Institutes of Health
- National Institute of General Medical Sciences