Woodruff School of Mechanical Engineering

NRE 8011/8012 and MP 6011/6012 Seminar

Nuclear & Radiological Engineering and Medical Physics Programs

Title:

MRI-based Treatment Planning for Radiation Therapy

Speaker:

Dr. Xiaofeng Yang

Affiliation:

Department of Radiation Oncology at Winship Cancer Institute of Emory University

When:

Thursday, March 16, 2017 at 11:00:00 AM

Where:

Boggs Building, Room 3-47

Host:

Dr. Lei Zhu
daphne.brown@me.gatech.edu
4043855502

Abstract

The application of MRI significantly improves the accuracy and reliability of target delineation for many disease sites in radiation therapy due to its superior soft tissue contrast as compared with CT. A treatment planning process with MRI as the sole imaging modality could eliminate systematic MR-CT co-registration errors, reduce medical cost, spare the patient from CT x-ray exposure, and simplify clinical workflow. However, MRI data do not contain electron density information that is necessary for accurate dose calculation and generating reference images for patient setup. In this talk, I will present a learning-based method to derive electron density from routine anatomical MRI for MRI-only radiotherapy treatment planning. This CT image prediction technique could be a useful tool for MRI-based radiation treatment planning or attenuation correction for quantifying PET images when using a PET/MRI scanner.


Biography

Xiaofeng Yang is an Assistant Professor of Medical Physics in the Department of Radiation Oncology at Winship Cancer Institute of Emory University. He received his BS, MS and PhD (finish his PhD training and thesis at Emory University) in biomedical engineering from Xi’an Jiaotong University in China. He completed his postdoctoral and medical physics residency training in the Department of Radiation Oncology at Emory University. He is the recipient of multiple awards including Outstanding Postdoctoral Fellow Award from Emory University, Postdoctoral Fellowship Award from Department of Defense, Young Scientist Award from SPIE Medical Imaging (2014 and 2015), and Best-in-Physics Award from American Association of Physicists in Medicine (2015 and 2016).