Imaging system QA of a medical accelerator, Novalis Tx, for IGRT per TG 142: our 1 year experience.

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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.





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Chang, Z, J Bowsher, J Cai, S Yoo, Z Wang, J Adamson, L Ren, FF Yin, et al. (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). p. 3754. 10.1120/jacmp.v13i4.3754 Retrieved from

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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.


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.


Sua Yoo

Associate Professor of Radiation Oncology

Patient positioning verification for radiation therapy using OBI/CBCT; Treatment planning for breast cancer radiotherapy;


Justus D Adamson

Associate Professor of Radiation Oncology

Radiosurgery and SBRT
Image Guided Radiation Therapy (IGRT)
Quality Assurance (QA) in Radiation Therapy
3D Dosimetry


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 (SBRT) of brain, lung and liver cancer patients.


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

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