Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Eric Van Uytven"'
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 31, Iss , Pp 50-57 (2021)
Purpose: To create and investigate a novel, clinical decision-support system using machine learning (ML). Methods and Materials: The ML model was developed based on 79 radiotherapy plans of brain tumor patients that were prescribed a total dose of 60
Externí odkaz:
https://doaj.org/article/a694e189baf6419a910910fb5544ef32
Publikováno v:
Clinical and Translational Radiation Oncology
Clinical and Translational Radiation Oncology, Vol 31, Iss, Pp 50-57 (2021)
Clinical and Translational Radiation Oncology, Vol 31, Iss, Pp 50-57 (2021)
Highlights • Extraction, analysis, and interpretation of historical treatment planning data is valuable but very time-consuming. • Proposed machine learning model classifies radiotherapy plans based on their treatment planning objectives and trad
Publikováno v:
Journal of Applied Clinical Medical Physics
Purpose To perform a comprehensive evaluation of eight adaptive radiation therapy strategies in the treatment of prostate cancer patients who underwent hypofractionated volumetric modulated arc therapy (VMAT) treatment. Material and methods The retro
Autor:
Boyd McCurdy, Timothy Van Beek, Idris A. Elbakri, Harry Ingleby, Kaiming Guo, Eric Van Uytven
Publikováno v:
Journal of Applied Clinical Medical Physics
On‐treatment EPID images are contaminated with patient‐generated scattered photons. If this component can be accurately estimated, its effect can be removed, and therefore a corresponding in vivo patient dose estimate will be more accurate. Our g
Publikováno v:
Medical Physics. 47:5301-5311
Purpose In real-time electronic portal imaging device (EPID) dosimetry applications where on-treatment measured transmission images are compared to an ideal predicted image, ideally a tight tolerance should be set on the quantitative image comparison
Autor:
Boyd McCurdy, Peter B. Greer, Eric Van Uytven, Krista Chytyk-Praznik, Timothy Van Beek, Peter M. McCowan
Publikováno v:
Medical Physics. 42:6945-6954
Purpose: Radiation treatments are trending toward delivering higher doses per fraction under stereotactic radiosurgery and hypofractionated treatment regimens. There is a need for accurate 3D in vivo patient dose verification using electronic portal
Autor:
Shashank Bhatia, Henry C. Woodruff, Eric Van Uytven, Timothy Van Beek, Peter B. Greer, T. Fuangrod, Boyd McCurdy
Publikováno v:
International Journal of Radiation Oncology*Biology*Physics. 93:516-522
Purpose Gantry-mounted megavoltage electronic portal imaging devices (EPIDs) have become ubiquitous on linear accelerators. WatchDog is a novel application of EPIDs, in which the image frames acquired during treatment are used to monitor treatment de
Autor:
Eric Van Uytven, Boyd McCurdy, Harry Ingleby, Kaiming Guo, Timothy Van Beek, Idris A. Elbakri
Publikováno v:
Physics in Medicine & Biology. 65:185008
In vivo dosimetry methods can verify the prescription dose is delivered to the patient during treatment. Unfortunately, in exit dosimetry, the megavoltage image is contaminated with patient-generated scattered photons. However, estimation and removal
Autor:
Boyd McCurdy, Eric Van Uytven, T vanBeek, Shaun K Loewen, Maged Nashed, Bashir Bashir, Amitava Chowdhury, Ahmet Leylek, James B. Butler, Peter M. McCowan, Naseer Ahmed, Arbind Dubey, G Asuni
Publikováno v:
International journal of radiation oncology, biology, physics. 97(5)
To report findings from an in vivo dosimetry program implemented for all stereotactic body radiation therapy patients over a 31-month period and discuss the value and challenges of utilizing in vivo electronic portal imaging device (EPID) dosimetry c
Autor:
Eric, Van Uytven, Timothy, Van Beek, Peter M, McCowan, Krista, Chytyk-Praznik, Peter B, Greer, Boyd M C, McCurdy
Publikováno v:
Medical physics. 42(12)
Radiation treatments are trending toward delivering higher doses per fraction under stereotactic radiosurgery and hypofractionated treatment regimens. There is a need for accurate 3D in vivo patient dose verification using electronic portal imaging d