Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy
The results of this computational study indicate that the designed automated MRgLITT approach has potential to improve the LC, reduce treatment time and operator specific variability. Future efforts will focus on developing and validating the proposed approach.
Authors
- Robert Ivkov (ORCID: https://orcid.org/0000-0002-2930-5276)
- Brad E. Zacharia (ORCID: https://orcid.org/0000-0002-2078-7635)
- Nageshwar Arepally
- Anilchandra Attaluri (ORCID: https://orcid.org/0000-0003-0283-1927)
- Yash Sharad Lad (ORCID: https://orcid.org/0009-0001-3084-6862)
- Shreeniket Pawar
- Ma'Moun Abu‐Ayyad
- Constantinos Hadjipanayis
Institutions
- Johns Hopkins University (US)
- Harrisburg University of Science and Technology (US)
- University of Pittsburgh (US)
- Johns Hopkins Medicine (US)
- Neurological Surgery (US)
- Sidney Kimmel Comprehensive Cancer Center (US)
- Penn State Milton S. Hershey Medical Center (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1002/mp.70267
- Primary Topic
- Thermoelastic and Magnetoelastic Phenomena
- Type
- article
- Field-Weighted Citation Impact
- 0.00