D
D Defoor
Researcher at University of Texas Health Science Center at San Antonio
Publications - 9
Citations - 106
D Defoor is an academic researcher from University of Texas Health Science Center at San Antonio. The author has contributed to research in topics: Multileaf collimator & Software. The author has an hindex of 4, co-authored 9 publications receiving 69 citations. Previous affiliations of D Defoor include University of Texas at Austin.
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Journal ArticleDOI
Anatomy-based, patient-specific VMAT QA using EPID or MLC log files
TL;DR: The results indicate that the use of the EPID, combined with MLC log files and a TPS, is a viable method for QA of VMAT plans.
Journal ArticleDOI
Investigation of error detection capabilities of phantom, EPID and MLC log file based IMRT QA methods.
D Defoor,Sotirios Stathakis,Joseph E. Roring,Neil Kirby,Panayiotis Mavroidis,Mohammad Obeidat,Nikos Papanikolaou +6 more
TL;DR: A combination of the EPID and Dynalog QA methods (scaling Dynalog doses using EPID images) matches the detection capabilities of the Delta4 by adding additional comparison metrics, vital in relating the QA measurement to the dose received by the patient which is ultimately what is being confirmed.
Journal ArticleDOI
Dosimetric validation of Monaco treatment planning system on an Elekta VersaHD linear accelerator.
Ganesh Narayanasamy,Ganesh Narayanasamy,Daniel Saenz,D Defoor,Niko Papanikolaou,Sotirios Stathakis +5 more
TL;DR: This investigation on dosimetric validation ensures accuracy of modeling VersaHD linac in Monaco TPS thereby improving patient safety.
Journal ArticleDOI
Evaluation of the Elekta Agility MLC performance using high-resolution log files
Christopher Kabat,D Defoor,Pamela Myers,Neil Kirby,Karl Rasmussen,Daniel Saenz,Panayiotis Mavroidis,Niko Papanikolaou,Sotirios Stathakis +8 more
TL;DR: Utilizing log files for linac MLC QA effectiveness has demonstrated the feasibility for higher precision of MLC motions to be reviewed, based on the performance tests that were instituted.
Journal Article
A quantitative measure for radiation treatment plan quality.
Anna Laura Licon,D Defoor,John R. Ford,Richard L. Crownover,Ying Li,Chul S. Ha,Tony Yuen Eng,William E. Jones,Panayiotis Mavroidis,Niko Papanikolaou,Sotirios Stathakis +10 more
TL;DR: An intensity modulated radiation therapy (IMRT) treatment plan quantitative score using QUANTEC dose/volume parameters to assess plan quality is developed and validated to help improve patient care and treatment outcomes.