Eric Abel
Varian Medical Systems
24 Papers
77 Citations
Eric Abel is an academic researcher from Varian Medical Systems. The author has contributed to research in topics: Flash (photography) & Medicine. The author has an hindex of 7, co-authored 21 publications.
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Papers
FLASH Proton Pencil Beam Scanning Irradiation Minimizes Radiation-Induced Leg Contracture and Skin Toxicity in Mice
Shannon Cunningham,Shelby McCauley,Kanimozhi Vairamani,Joseph Speth,Swati Girdhani,Eric Abel,Ricky A. Sharma,John P. Perentesis,John P. Perentesis,Susanne I. Wells,Susanne I. Wells,Anthony Mascia,Mathieu Sertorio,Mathieu Sertorio +13 more
TL;DR: In this paper, the authors used a pencil beam scanning nozzle and the plateau region of a 250 MeV proton beam, and a uniform physical dose of 35 Gy (toxicity study) or 15 gy (tumor control study) was delivered to the right hind leg of mice at various dose rates: Sham, Conventional (Conv, 1 gy/s), Flash60 (57 Gy/s) and Flash115 (115 Gy/m).
154
A framework for defining FLASH dose rate for pencil beam scanning.
Michael Folkerts,Eric Abel,Simon Busold,Jessica R. Perez,Vidhya Krishnamurthi,C. Clifton Ling,C. Clifton Ling,C. Clifton Ling +7 more
TL;DR: Standardizing the method for calculating and reporting PBS treatment dose rates, in a manner that corresponds with other treatment modalities, will advance the research and potential application of PBS FLASH radiotherapy.
123
Bringing FLASH to the Clinic: Treatment Planning Considerations for Ultrahigh Dose-Rate Proton Beams.
Patricia van Marlen,Max Dahele,Michael Folkerts,Eric Abel,Berend J. Slotman,Wilko F.A.R. Verbakel +5 more
TL;DR: The methodology proposed in this proof-of-principle study provides a framework for evaluating the FLASH characteristics of scanning proton beam plans and can be adapted as FLASH-parameters are better defined.
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Improved Tumor Control Through T-cell Infiltration Modulated by Ultra-High Dose Rate Proton FLASH Using a Clinical Pencil Beam Scanning Proton System
Nihar Rama,T. Saha,Samriddhi Shukla,Chinmayee Goda,David Milewski,Anthony Mascia,R.E. Vatner,D. Sengupta,A. Katsis,Eric Abel,S. Girdhani,M. Miyazaki,A. Rodriguez,A. Ku,R. Dua,Renate Parry,Tanya V. Kalin +16 more
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Rapid Monte Carlo simulation of detector DQE(f).
TL;DR: The authors demonstrate the feasibility of accurately modeling x-ray detector DQE(f) with completion times on the order of several minutes using a single CPU, and propose to further lower the input fluence so that each event creates a point-spread function rather than a flood field.