Browsing by Author "Yin, Fang-Fang"
Now showing items 1-20 of 39
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A positioning QA procedure for 2D/2D (kV/MV) and 3D/3D (CT/CBCT) image matching for radiotherapy patient setup.
Guan, Huaiqun; Hammoud, Rabih; Yin, Fang-Fang (Journal of applied clinical medical physics, 2009-10-06)A positioning QA procedure for Varian's 2D/2D (kV/MV) and 3D/3D (planCT/CBCT) matching was developed. The procedure was to check: (1) the coincidence of on-board imager (OBI), portal imager (PI), and cone beam CT (CBCT)'s ... -
A robust deformable image registration enhancement method based on radial basis function.
Liang, Xiao; Yin, Fang-Fang; Wang, Chunhao; Cai, Jing (Quantitative imaging in medicine and surgery, 2019-07)Background:To develop and evaluate a robust deformable image registration (DIR) enhancement method based on radial basis function (RBF) expansion. Methods:To improve DIR accuracy using sparsely available measured displacements, ... -
Accuracy and efficiency of image-guided radiation therapy (IGRT) for preoperative partial breast radiosurgery.
Yoo, Sua; O'Daniel, Jennifer; Blitzblau, Rachel; Yin, Fang-Fang; Horton, Janet K (Journal of radiosurgery and SBRT, 2020-01)<h4>Objective</h4>To analyze and evaluate accuracy and efficiency of IGRT process for preoperative partial breast radiosurgery.<h4>Methods</h4>Patients were initially setup with skin marks and 5 steps were performed: (1) ... -
An Ensemble Approach to Knowledge-Based Intensity-Modulated Radiation Therapy Planning.
Zhang, Jiahan; Wu, Q Jackie; Xie, Tianyi; Sheng, Yang; Yin, Fang-Fang; Ge, Yaorong (Frontiers in oncology, 2018-01)Knowledge-based planning (KBP) utilizes experienced planners' knowledge embedded in prior plans to estimate optimal achievable dose volume histogram (DVH) of new cases. In the regression-based KBP framework, previously planned ... -
An Exploratory Radiomics Approach to Quantifying Pulmonary Function in CT Images
Lafata, Kyle J; Zhou, Zhennan; Liu, Jian-Guo; Hong, Julian; Kelsey, Chris R; Yin, Fang-Fang (Scientific Reports, 2019-12) -
An investigation of machine learning methods in delta-radiomics feature analysis.
Chang, Yushi; Lafata, Kyle; Sun, Wenzheng; Wang, Chunhao; Chang, Zheng; Kirkpatrick, John P; Yin, Fang-Fang (PloS one, 2019-01)PURPOSE:This study aimed to investigate the effectiveness of using delta-radiomics to predict overall survival (OS) for patients with recurrent malignant gliomas treated by concurrent stereotactic radiosurgery and bevacizumab, ... -
Association of pre-treatment radiomic features with lung cancer recurrence following stereotactic body radiation therapy.
Lafata, Kyle J; Hong, Julian C; Geng, Ruiqi; Ackerson, Bradley G; Liu, Jian-Guo; Zhou, Zhennan; Torok, Jordan; ... (9 authors) (Physics in medicine and biology, 2019-01-08)The purpose of this work was to investigate the potential relationship between radiomic features extracted from pre-treatment x-ray CT images and clinical outcomes following stereotactic body radiation therapy (SBRT) for ... -
Automatic Planning of Whole Breast Radiation Therapy Using Machine Learning Models.
Sheng, Yang; Li, Taoran; Yoo, Sua; Yin, Fang-Fang; Blitzblau, Rachel; Horton, Janet K; Ge, Yaorong; ... (8 authors) (Frontiers in Oncology, 2019-01)Purpose: To develop an automatic treatment planning system for whole breast radiation therapy (WBRT) based on two intensity-modulated tangential fields, enabling near-real-time planning. Methods and Materials: A total of ... -
Clinical assessment and characterization of a dual tube kilovoltage X-ray localization system in the radiotherapy treatment room.
Lee, Sung-Woo; Jin, Jian-Yue; Guan, Huaiqun; Martin, Flavious; Kim, Jae Ho; Yin, Fang-Fang (Journal of applied clinical medical physics, 2008-01-13)INTRODUCTION:Although flat-panel based X-ray imaging has been well tested in diagnostic radiology, its use as an image-guided-radiotherapy (IGRT) system in a treatment room is new and requires systematic assessment. MATERIALS ... -
Clinical Experience With Machine Learning-Based Automated Treatment Planning for Whole Breast Radiation Therapy.
Yoo, Sua; Sheng, Yang; Blitzblau, Rachel; McDuff, Susan; Champ, Colin; Morrison, Jay; O'Neill, Leigh; ... (10 authors) (Advances in radiation oncology, 2021-03)<h4>Purpose</h4>The machine learning-based automated treatment planning (MLAP) tool has been developed and evaluated for breast radiation therapy planning at our institution. We implemented MLAP for patient treatment and ... -
Comparisons of volumetric modulated arc therapy (VMAT) quality assurance (QA) systems: sensitivity analysis to machine errors.
Liang, Bin; Liu, Bo; Zhou, Fugen; Yin, Fang-Fang; Wu, Qiuwen (Radiation Oncology (London, England), 2016-11-07)In volumetric modulated arc therapy (VMAT), gantry angles, dose rate and the MLC positions vary with the radiation delivery. The quality assurance (QA) system should be able to catch the planning and machine errors. The ... -
Computed tomography dose index and dose length product for cone-beam CT: Monte Carlo simulations.
Kim, Sangroh; Song, Haijun; Samei, Ehsan; Yin, Fang-Fang; Yoshizumi, Terry T (Journal of applied clinical medical physics, 2011-01-19)Dosimetry in kilovoltage cone beam computed tomography (CBCT) is a challenge due to the limitation of physical measurements. To address this, we used a Monte Carlo (MC) method to estimate the CT dose index (CTDI) and the ... -
Development of a neuro-fuzzy technique for automated parameter optimization of inverse treatment planning.
Stieler, Florian; Yan, Hui; Lohr, Frank; Wenz, Frederik; Yin, Fang-Fang (Radiation oncology (London, England), 2009-01)BACKGROUND: Parameter optimization in the process of inverse treatment planning for intensity modulated radiation therapy (IMRT) is mainly conducted by human planners in order to create a plan with the desired dose distribution. ... -
Diode-based transmission detector for IMRT delivery monitoring: a validation study.
Li, Taoran; Wu, Q Jackie; Matzen, Thomas; Yin, Fang-Fang; O'Daniel, Jennifer C (Journal of applied clinical medical physics, 2016-09-08)The purpose of this work was to evaluate the potential of a new transmission detector for real-time quality assurance of dynamic-MLC-based radiotherapy. The accuracy of detecting dose variation and static/dynamic MLC position ... -
Dose-Distribution-Driven PET Image-Based Outcome Prediction (DDD-PIOP): A Deep Learning Study for Oropharyngeal Cancer IMRT Application
Wang, Chunhao; Liu, Chenyang; Chang, Yushi; Lafata, Kyle; Cui, Yunfeng; Zhang, Jiahan; Sheng, Yang; ... (10 authors) -
Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis.
Sun, Wenzheng; Jiang, Mingyan; Dang, Jun; Chang, Panchun; Yin, Fang-Fang (Radiation oncology (London, England), 2018-10-05)BACKGROUND:To investigate the effect of machine learning methods on predicting the Overall Survival (OS) for non-small cell lung cancer based on radiomics features analysis. METHODS:A total of 339 radiomic features were ... -
Evaluation of an electron Monte Carlo dose calculation algorithm for electron beam.
Hu, Ye Angela; Song, Haijun; Chen, Zhe; Zhou, Sumin; Yin, Fang-Fang (Journal of applied clinical medical physics, 2008-06-23)The electron Monte Carlo (eMC) dose calculation algorithm of the Eclipse treatment planning system is based heavily upon Monte Carlo simulation of the linac head and modeling of the linac beam characteristics with minimal ... -
Evaluation of dosimetric uncertainty caused by MR geometric distortion in MRI-based liver SBRT treatment planning.
Han, Silu; Yin, Fang-Fang; Cai, Jing (Journal of applied clinical medical physics, 2019-02)PURPOSE:MRI-based treatment planning is a promising technique for liver stereotactic-body radiation therapy (SBRT) treatment planning to improve target volume delineation and reduce radiation dose to normal tissues. MR geometric ... -
Evaluation of integrated respiratory gating systems on a Novalis Tx system.
Chang, Zheng; Liu, Tonghai; Cai, Jing; Chen, Qing; Wang, Zhiheng; Yin, Fang-Fang (Journal of applied clinical medical physics, 2011-04-04)The purpose of this study was to investigate the accuracy of motion tracking and radiation delivery control of integrated gating systems on a Novalis Tx system. The study was performed on a Novalis Tx system, which is equipped ... -
Flattening filter-free accelerators: a report from the AAPM Therapy Emerging Technology Assessment Work Group.
Xiao, Ying; Kry, Stephen F; Popple, Richard; Yorke, Ellen; Papanikolaou, Niko; Stathakis, Sotirios; Xia, Ping; ... (11 authors) (Journal of applied clinical medical physics, 2015-05-08)This report describes the current state of flattening filter-free (FFF) radiotherapy beams implemented on conventional linear accelerators, and is aimed primarily at practicing medical physicists. The Therapy Emerging Technology ...