Enhanced Electroacoustic Tomography with Supervised Learning for Real‐time Electroporation Monitoring
This study represented a pioneering stride in achieving high-quality EAT using a single linear array in an experimental environment, which improves EAT's utility in real-time monitoring for nsPEF-based electroporation therapy.
Authors
- Zhuoran Jiang (ORCID: https://orcid.org/0000-0002-7637-1102)
- Qiuwen Wu (ORCID: https://orcid.org/0000-0003-0748-7280)
- Leshan Sun (ORCID: https://orcid.org/0009-0008-1312-2388)
- Liangzhong Xiang (ORCID: https://orcid.org/0000-0002-7228-0510)
- Lei Ren (ORCID: https://orcid.org/0000-0002-6136-3505)
- Yifei Xu (ORCID: https://orcid.org/0000-0002-0693-4184)
- Shreyas Srinivasan
Institutions
- University of Maryland, Baltimore (US)
- University of California, Irvine (US)
- Duke Medical Center (US)
- Stanford University (US)
Publication Details
- Journal
- Precision Radiation Oncology
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1002/pro6.1242
- Citations
- 8
- Primary Topic
- Microbial Inactivation Methods
- Type
- article
- Field-Weighted Citation Impact
- 3.09
Funders
- American Cancer Society
- National Institutes of Health
- Chao Family Comprehensive Cancer Center