Imaging system QA of a medical accelerator, Novalis Tx, for IGRT per TG 142: our 1 year experience.
Abstract
American Association of Physicists in Medicine (AAPM) task group (TG) 142 has recently
published a report to update recommendations of the AAPM TG 40 report and add new
recommendations concerning medical accelerators in the era of image-guided radiation
therapy (IGRT). The recommendations of AAPM TG 142 on IGRT are timely. In our institute,
we established a comprehensive imaging QA program on a medical accelerator based on
AAPM TG 142 and implemented it successfully. In this paper, we share our one-year
experience and performance evaluation of an OBI capable linear accelerator, Novalis
Tx, per TG 142 guidelines.
Type
Journal articleSubject
HumansImage Enhancement
Radiotherapy Planning, Computer-Assisted
Calibration
Particle Accelerators
Quality Control
Radiotherapy, Image-Guided
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https://hdl.handle.net/10161/19403Published Version (Please cite this version)
10.1120/jacmp.v13i4.3754Publication Info
(2012). Imaging system QA of a medical accelerator, Novalis Tx, for IGRT per TG 142: our 1
year experience. Journal of applied clinical medical physics, 13(4). pp. 3754. 10.1120/jacmp.v13i4.3754. Retrieved from https://hdl.handle.net/10161/19403.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Justus D Adamson
Associate Professor of Radiation Oncology
Radiosurgery and SBRTImage Guided Radiation Therapy (IGRT) Quality Assurance (QA)
in Radiation Therapy 3D Dosimetry
James E. Bowsher
Adjunct Associate Professor in the Department of Radiation Oncology
Dr. Bowsher's research interests include functional and molecular imaging in radiation
therapy, particularly positron emission tomography and single-photon emission computed
tomography; imaging onboard radiation therapy machines; robotics and imaging; region-of-interest
methods for high-resolution, high-sensitivity imaging; methods for integrating multiple
imaging modalities -- and realistic system modeling -- into the generation of medical
images; and quality assurance methods for imaging and f
Jing Cai
Adjunct Associate Professor in the Radiation Oncology
Image-guided Radiation Therapy (IGRT), Magnetic Resonance Imaging (MRI), Tumor Motion
Management, Four-Dimensional Radiation Therapy (4DRT), Stereotatic-Body Radiation
Therapy (SBRT), Brachytherapy, Treatment Planning, Lung Cancer, Liver Cancer, Cervical
Cancer.
Zheng Chang
Professor of Radiation Oncology
Dr. Chang's research interests include radiation therapy treatment assessment using
MR quantitative imaging, image guided radiation therapy (IGRT), fast MR imaging using
parallel imaging and strategic phase encoding, and motion management for IGRT.
Lei Ren
Adjunct Professor in the Department of Radiation Oncology
Dr. Ren's research interests include imaging dose reduction using digital tomosynthesis
(DTS), cone-beam CT (CBCT) scatter correction, novel DTS/CBCT/MRI image reconstruction
methods using prior information and motion modeling, deformable image registration,
image synthesis, image augmentation, 4D imaging, development and application of AI
in image guided radiation therapy (IGRT). His clinical expertise focuses on stereotactic
radiosurgery (SRS) and stereotactic body radiation therapy (
Zhiheng Wang
Professor of Radiation Oncology
Fang-Fang Yin
Gustavo S. Montana Distinguished Professor of Radiation Oncology
Stereotactic radiosurgery, Stereotactic body radiation therapy, treatment planning
optimization, knowledge guided radiation therapy, intensity-modulated radiation therapy,
image-guided radiation therapy, oncological imaging and informatics
Sua Yoo
Associate Professor of Radiation Oncology
Patient positioning verification for radiation therapy using OBI/CBCT; Treatment planning
for breast cancer radiotherapy;
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