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Ding-Yu  Fei, Ph.D. - VCU College of Engineering. Biotech Eight, Room 417, Richmond, VA, US

Ding-Yu Fei, Ph.D. Ding-Yu  Fei, Ph.D.

Associate Professor, Department of Biomedical Engineering | VCU College of Engineering

Biotech Eight, Room 417, Richmond, VA, UNITED STATES

Bioinstrumentation expert, theorizing the future of brain-computer interface-based devices

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Industry Expertise (3)

Research Education/Learning Biotechnology

Areas of Expertise (6)

Development of new instruments for applications in telemedicine Development of brain-computer interface-based devices for patients with movement disorder Magnetic resonance imaging (MRI) techniques for studies of vessel properties and vascular hemodynamics Ultrasonic imaging techniques for studies of cardiovascular dynamics Technologies for radiation oncology Bioinstrumentation

Education (3)

Pennsylvania State University: Ph.D., Bioengineering 1986

Tsinghua University: M.S., Electrical Engineering 1965

Tsinghua University: B.S., Electrical Engineering 1963

Selected Articles (3)

A biomedical sensor system for real-time monitoring of astronauts' physiological parameters during extra-vehicular activities. Computers in biology and medicine

2010

OBJECTIVE: To design and test an embedded biomedical sensor system that can monitor astronauts' comprehensive physiological parameters, and provide real-time data display during extra-vehicle activities (EVA) in the space exploration.

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Image-guided stereotactic body radiotherapy for lung tumors using BodyLoc with tomotherapy: clinical implementation and set-up accuracy. Medical dosimetry

2010

We investigated the use of a BodyLoc immobilization and stereotactic localization device combined with TomoTherapy megavoltage CT (MVCT) in lung stereotactic body radiotherapy (SBRT) to reduce set-up uncertainty and treatment time. Eight patients treated with 3-5 fractions of SBRT were retrospectively analyzed. A BodyLoc localizer was used in both CT simulation for localization and the initial patient treatment set-up. Patients were immobilized with a vacuum cushion on the back and a thermoplastic body cast on the anterior body. Pretreatment MVCT from the TomoTherapy unit was fused with the planning kilovoltage CT (KVCT) before each fraction of treatment to determine interfractional set-up error. The comparison of two MVCTs during a fraction of treatment resulted in the intrafractional uncertainty of the treatment. A total of 224 target isocenter shifts were analyzed to assess these inter- and intrafractional tumor motions. We found that for interfractional shifts, the mean set-up errors and standard deviations were -1.1 +/- 2.8 mm, -2.5 +/- 8.7 mm, and 4.1 +/- 2.6 mm, for lateral, longitudinal, and vertical variation, respectively; the mean setup rotational variation was -0.3 +/- 0.7 degrees; and the maximum motion was 13.5 mm in the longitudinal direction. For intrafractional shifts, the mean set-up errors and standard deviations were -0.1 +/- 0.7 mm, -0.3 +/- 2.0 mm, and 0.5 +/- 1.1 mm for the lateral, longitudinal, and vertical shifts, respectively; the mean rotational variation was 0.1 +/- 0.2 degrees; and the maximum motion was 3.8 mm in the longitudinal direction. There was no correlation among patient characteristics, set-up uncertainties, and isocenter shifts, and the interfractional set-up uncertainties were larger than the intrafractional isocenter shift. The results of this study suggested that image-guided stereotactic body radiotherapy using the BodyLoc immobilization system with TomoTherapy can improve treatment accuracy.

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Analysis of daily setup variation with tomotherapy megavoltage computed tomography Medical dosimetry

2010

The purpose of this study was to evaluate different setup uncertainties for various anatomic sites with TomoTherapy pretreatment megavoltage computed tomography (MVCT) and to provide optimal margin guidelines for these anatomic sites. Ninety-two patients with tumors in head and neck (HN), brain, lung, abdominal, or prostate regions were included in the study. MVCT was used to verify patient position and tumor target localization before each treatment. With the anatomy registration tool, MVCT provided real-time tumor shift coordinates relative to the positions where the simulation CT was performed. Thermoplastic facemasks were used for HN and brain treatments. Vac-Lok cushions were used to immobilize the lower extremities up to the thighs for prostate patients. No respiration suppression was administered for lung and abdomen patients. The interfractional setup variations were recorded and corrected before treatment. The mean interfractional setup error was the smallest for HN among the 5 sites analyzed. The average 3D displacement in lateral, longitudinal, and vertical directions for the 5 sites ranged from 2.2-7.7 mm for HN and lung, respectively. The largest movement in the lung was 2.0 cm in the longitudinal direction, with a mean error of 6.0 mm and standard deviation of 4.8 mm. The mean interfractional rotation variation was small and ranged from 0.2-0.5 degrees, with the standard deviation ranging from 0.7-0.9 degrees. Internal organ displacement was also investigated with a posttreatment MVCT scan for HN, lung, abdomen, and prostate patients. The maximum 3D intrafractional displacement across all sites was less than 4.5 mm. The interfractional systematic errors and random errors were analyzed and the suggested margins for HN, brain, prostate, abdomen, and lung in the lateral, longitudinal, and vertical directions were between 4.2 and 8.2 mm, 5.0 mm and 12.0 mm, and 1.5 mm and 6.8 mm, respectively. We suggest that TomoTherapy pretreatment MVCT can be used to improve the accuracy of patient positioning and reduce tumor margin.

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