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International Journal of Hyperthermia Volume 34, 2018 - Issue 1
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Original Articles

Theoretical model for laser ablation outcome predictions in brain: calibration and validation on clinical MR thermometry images

Samuel John FahrenholtzDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA; ;Department of Medical Physics, UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-7646-7227View further author information
ORCID Icon,
Reza MadankanDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA; View further author information
,
Shabbar DanishSection of Neurosurgery, Rutgers Cancer Institute of New Jersey, New Brunswick, NJ, USAView further author information
,
John D. HazleDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA; ;Department of Medical Physics, UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA; View further author information
,
R. Jason StaffordDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA; ;Department of Medical Physics, UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA; View further author information
&
David FuentesDepartment of Imaging Physics, University of Texas MD Anderson Cancer Center, Houston, TX, USA; ;Department of Medical Physics, UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA; View further author information
Pages 101-111 | Received 12 Aug 2016, Accepted 12 Apr 2017, Published online: 19 May 2017

Citations (9)

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Sundeep Singh & Roderick Melnik. (2020) Thermal ablation of biological tissues in disease treatment: A review of computational models and future directions. Electromagnetic Biology and Medicine 39:2, pages 49-88.
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Drew Mitchell, Samuel Fahrenholtz, Christopher MacLellan, Dhiego Bastos, Ganesh Rao, Sujit Prabhu, Jeffrey Weinberg, John Hazle, Jason Stafford & David Fuentes. (2018) A heterogeneous tissue model for treatment planning for magnetic resonance-guided laser interstitial thermal therapy. International Journal of Hyperthermia 34:7, pages 943-952.
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Amy Lee Bredlau, Anjan Motamarry, Chao Chen, M. A. McCrackin, Kris Helke, Kent E. Armeson, Katrina Bynum, Ann-Marie Broome & Dieter Haemmerich. (2018) Localized delivery of therapeutic doxorubicin dose across the canine blood–brain barrier with hyperthermia and temperature sensitive liposomes. Drug Delivery 25:1, pages 973-984.
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Articles from other publishers (6)

Dongsuk Sung, Abinand Rejimon, Jason W Allen, Andrei G Fedorov & Candace C Fleischer. (2023) Predicting brain temperature in humans using bioheat models: Progress and outlook. Journal of Cerebral Blood Flow & Metabolism 43:6, pages 833-842.
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梁利斌 Liang Libin, 李亮 Li Liang, 高婷婷 Gao Tingting, 王广志 Wang Guangzhi, 丁辉 Ding Hui, 万明习 Wan Mingxi & 张镇西 Zhang Zhenxi. (2023) 微创介入中智能化光学辅助技术与激光消融治疗的研究进展. Chinese Journal of Lasers 50:15, pages 1507201.
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Shiguang Zhang, Chunlei Li, Lin Cao, Michael A.J. Moser, Wenjun Zhang, Zhiqin Qian & Bing Zhang. (2022) Modeling and ex vivo experimental validation of liver tissue carbonization with laser ablation. Computer Methods and Programs in Biomedicine 217, pages 106697.
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Allison S. Liang, Sean M. Munier & Shabbar F. Danish. (2021) Mathematical Modeling of Thermal Damage Estimate Volumes in MR‐guided Laser Interstitial Thermal Therapy. Journal of Neuroimaging 31:2, pages 334-340.
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Jarrod A. Collins, Jon S. Heiselman, Logan W. Clements, Jared A. Weis, Daniel B. Brown & Michael I. Miga. (2020) Toward Image Data-Driven Predictive Modeling for Guiding Thermal Ablative Therapy. IEEE Transactions on Biomedical Engineering 67:6, pages 1548-1557.
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Paola Saccomandi, Eugenio Magnoni, Carlo Massaroni, Francesco Giurazza, Daniela Lopresti & Emiliano Schena. (2018) Non-invasive MR thermometry in liver undergoing laser ablation: multi-parameters analysis. Non-invasive MR thermometry in liver undergoing laser ablation: multi-parameters analysis.

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