Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy
Purpose In magnetic resonance-guided focused ultrasound (MRgFUS) breast therapies, the focal location must be characterized to guide successful treatment. Focal characterization is difficult because heterogeneous breast tissues introduce phase aberrations that blur and shift the focus and traditiona...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2025-12-01
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| Series: | International Journal of Hyperthermia |
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| Online Access: | https://www.tandfonline.com/doi/10.1080/02656736.2025.2452927 |
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| _version_ | 1832591156983103488 |
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| author | Chloe K. Nelson Michelle Kline Allison Payne Christopher R. Dillon |
| author_facet | Chloe K. Nelson Michelle Kline Allison Payne Christopher R. Dillon |
| author_sort | Chloe K. Nelson |
| collection | DOAJ |
| description | Purpose In magnetic resonance-guided focused ultrasound (MRgFUS) breast therapies, the focal location must be characterized to guide successful treatment. Focal characterization is difficult because heterogeneous breast tissues introduce phase aberrations that blur and shift the focus and traditional guidance methods do not work in adipose tissues. The purpose of this work is to evaluate numerical simulations of MRgFUS that predict the focal location. Those simulations are compared to clinical magnetic resonance acoustic radiation force imaging (MR-ARFI) data collected during in vivo treatment of breast tumors.Methods The focal location was evaluated before MRgFUS treatment with MR-ARFI in five patients. The hybrid angular spectrum method (HAS) was applied to simulate pressure fields which were converted to forces, then convolved with a 3D Green’s function (with time-of-arrival weighting) to produce a simulation of the MR-ARFI tissue displacement.Results The focal locations found by the simulations and the MR-ARFI measurements were on average separated by 3.7 mm (SD: 0.9 mm). Characterization of the focal zone spatial distributions had a normalized root mean squared difference of 8.1% (SD: 2.5%). The displacement magnitudes of the simulations underestimated the MR-ARFI measurements by 82% (SD: 5.6%).Conclusions The agreement between MR-ARFI measurements and simulations demonstrates that HAS can predict the in vivo 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. |
| format | Article |
| id | doaj-art-3a5fb73d699f45fab27020ce9b112b09 |
| institution | Kabale University |
| issn | 0265-6736 1464-5157 |
| language | English |
| publishDate | 2025-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | International Journal of Hyperthermia |
| spelling | doaj-art-3a5fb73d699f45fab27020ce9b112b092025-01-23T00:52:35ZengTaylor & Francis GroupInternational Journal of Hyperthermia0265-67361464-51572025-12-0142110.1080/02656736.2025.2452927Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapyChloe K. Nelson0Michelle Kline1Allison Payne2Christopher R. Dillon3Department of Mechanical Engineering, Brigham Young University, Provo, UT, USADepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USADepartment of Radiology and Imaging Sciences, University of Utah, Salt Lake City, UT, USADepartment of Mechanical Engineering, Brigham Young University, Provo, UT, USAPurpose In magnetic resonance-guided focused ultrasound (MRgFUS) breast therapies, the focal location must be characterized to guide successful treatment. Focal characterization is difficult because heterogeneous breast tissues introduce phase aberrations that blur and shift the focus and traditional guidance methods do not work in adipose tissues. The purpose of this work is to evaluate numerical simulations of MRgFUS that predict the focal location. Those simulations are compared to clinical magnetic resonance acoustic radiation force imaging (MR-ARFI) data collected during in vivo treatment of breast tumors.Methods The focal location was evaluated before MRgFUS treatment with MR-ARFI in five patients. The hybrid angular spectrum method (HAS) was applied to simulate pressure fields which were converted to forces, then convolved with a 3D Green’s function (with time-of-arrival weighting) to produce a simulation of the MR-ARFI tissue displacement.Results The focal locations found by the simulations and the MR-ARFI measurements were on average separated by 3.7 mm (SD: 0.9 mm). Characterization of the focal zone spatial distributions had a normalized root mean squared difference of 8.1% (SD: 2.5%). The displacement magnitudes of the simulations underestimated the MR-ARFI measurements by 82% (SD: 5.6%).Conclusions The agreement between MR-ARFI measurements and simulations demonstrates that HAS can predict the in vivo 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.https://www.tandfonline.com/doi/10.1080/02656736.2025.2452927Breast canceracoustic modelingfocused ultrasoundMR-ARFIMRgFUS |
| spellingShingle | Chloe K. Nelson Michelle Kline Allison Payne Christopher R. Dillon Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy International Journal of Hyperthermia Breast cancer acoustic modeling focused ultrasound MR-ARFI MRgFUS |
| title | Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy |
| title_full | Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy |
| title_fullStr | Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy |
| title_full_unstemmed | Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy |
| title_short | Computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy |
| title_sort | computational predictions of magnetic resonance acoustic radiation force imaging for breast cancer focused ultrasound therapy |
| topic | Breast cancer acoustic modeling focused ultrasound MR-ARFI MRgFUS |
| url | https://www.tandfonline.com/doi/10.1080/02656736.2025.2452927 |
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