Administrative Contact
Biography
Dr. Polan is a Research Assistant Professor in the Department of Radiation Oncology. He received his PhD in Nuclear Engineering & Radiological Sciences from the University of Michigan while working with the Department of Radiation Oncology for his doctoral research. During this time, he contributed to projects related to adaptive RT workflows, including studies on imaging processing and deformable image registration. Recently, his research has focused on the development of novel optimization strategies, centered around integrating patient data and personalized outcome predictions directly into the plan optimization process. Dr. Polan has active collaborations with the Department of Industrial and Operations Engineering for advanced treatment plan optimization and Department of Radiology for multi-modality radiation therapy.
Areas of Interest
- Patient-specific outcome-guided treatment planning
- Multi-modality treatment approaches
- Image processing and deformable image registration
Clinical Interests
- Adaptive radiation therapy
- Functional imaging
- Workflow efficiency
Credentials
- PhD, Nuclear Engineering & Radiological Sciences, University of Michigan, 2021
- CAMPEP-accredited Certificate in Medical Physics, University of Michigan, 2021
- MSE, Nuclear Engineering & Radiological Sciences, University of Michigan, 2016
- BSE, Nuclear Engineering & Radiological Sciences, University of Michigan, 2015
Published Articles or Reviews
- Polan DF, Brady SL, Kaufman RA. Tissue segmentation of computed tomography images using a Random Forest algorithm: a feasibility study. Phys Med Biol.;61(17):6553-6569, 2016
- Polan DF, Feng M, Lawrence TS, Ten Haken RK, Brock KK. Implementing Radiation Dose-Volume Liver Response in Biomechanical Deformable Image Registration. Int J Radiat Oncol Biol Phys.;99(4):1004-1012, 2017
- Chapman CH, Polan D, Vineberg K, Jolly S, Maturen KE, Brock KK, Prisciandaro JI. Deformable image registration-based contour propagation yields clinically acceptable plans for MRI-based cervical cancer brachytherapy planning. Brachytherapy.;17(2):360-367, 2018
- Rosen BS, Hawkins PG, Polan DF, Balter JM, Brock KK, Kamp JD, Lockhart CM, Eisbruch A, Mierzwa ML, Ten Haken RK, El Naqa I. Early Changes in Serial CBCT-Measured Parotid Gland Biomarkers Predict Chronic Xerostomia After Head and Neck Radiation Therapy. Int J Radiat Oncol Biol Phys.;102(4):1319-1329, 2018
- Matrosic CK, Owen DR, Polan D, Sun Y, Jolly S, Schonewolf C, Schipper M, Haken RKT, Galban CJ, Matuszak M. Feasibility of function-guided lung treatment planning with parametric response mapping. Feasibility of function-guided lung treatment planning with parametric response mapping. J Appl Clin Med Phys.;22(11):80-89, 2021
- Polan DF, Epelman MA, Wu VW, et al. Direct incorporation of patient-specific efficacy and toxicity estimates in radiation therapy plan optimization. Med Phys. 2022;49(10):6279-6292.
- Mee SF, Polan DF*, Dewaraja YK, et al. Stereotactic body radiation therapy (SBRT) following Yttrium-90 (90Y) selective internal radiation therapy (SIRT): a feasibility planning study using90Y delivered dose.*Corresponding Author Phys Med Biol. 2023;68(6):065003.