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Reshma Munbodh, PhD, DABR

Computational Medical Physicist, Rhode Island Hospital

Phone: 401-444-5245
Email:  RMunbodh@lifespan.org

Mailing address:
Department of Radiation Oncology
Rhode Island Hospital
593 Eddy Street
Providence, RI 02903

Biography

2018-Present: Computational Medical Physicist, Rhode Island Hospital, Providence, RI
2018-Present: Assistant Professor, Department of Radiation Oncology, Warren Alpert Medical School of Brown University, Providence, RI
2018-Present: Adjunct Assistant Professor, Department of Diagnostic Imaging and Therapeutics, UConn Health, Farmington, CT
2017: Assistant Professor, Department of Diagnostic Imaging and Therapeutics, UConn Health, Farmington, CT
2017: Visiting Scientist, Centre for Intelligent Systems and their Applications, School of Informatics, The University of Edinburgh, Edinburgh, Scotland
2015: Visiting Scientist, Centre for Intelligent Systems and their Applications, School of Informatics, The University of Edinburgh, Edinburgh, Scotland
2010-2014: Assistant Professor, Department of Radiation Oncology, University of Pennsylvania, Philadelphia
2008-2010: Assistant Professor, Department of Radiology, Weill Medical College of Cornell University, New York
2005-2008: Post-doctoral Research Fellow, Department of Medical Physics, Memorial Sloan-Kettering Cancer Center, New York

Education

2004: PhD, Electrical Engineering, Yale University, New Haven, CT
2000: MPhil, Electrical Engineering, Yale University, New Haven, CT
1999: MSc, Electrical Engineering, Yale University, New Haven, CT
1996: Joint B.Eng. (Hons.), Computer Science and Electronics, University of Edinburgh, Edinburgh, Scotland

Research Interests

  • Image registration
  • Toxicity and outcome analysis following radiotherapy
  • Longitudinal studies of brain gliomas using MRI
  • Formal verification and automation of QA processes in radiation oncology

Publications

Selected Publications

  • Munbodh R, Knisely JPS, Jaffray DA, Moseley DJ.  2D-3D registration for cranial radiation therapy using a 3D kV CBCT and a single, limited field-of-view 2D kV radiograph.  In press.  Medical Physics.
  • Wang H, Huang Y, Coman D, Munbodh R, Dhaher R, Zaveri HP, Hyder F and Eid T. Network evolution in mesial temporal lobe epilepsy revealed by diffusion tensor imaging. Epilepsia May 2017; 58(5): 824-834.
  • Zou W, Yin L, Shen J, Corradetti M, Kirk M, Munbodh R, Fang P, Jabbour S, Simone II C, Rengan R, Teo BK. Dynamic simulation of motion effects in IMAT lung SBRT. Radiation Oncology 2014, 9:225.
  • Munbodh R, Jackson A. Quantifying cell migration distance as a contributing factor to the development of rectal toxicity after prostate radiotherapy. Med. Phys. Feb 2014; 41(2): 021716-1-12.
  • Teo BK, Saboury B, Munbodh R, Scheuermann J, Torigian DA, Zaid H, Alavi A. The effect of breathing irregularities on quantitative accuracy of respiratory gated PET/CT. Med. Phys. Dec 2012; 39(12): 7390-7397.
  • Munbodh R, Tagare H, Chen Z, Jaffray DA, Moseley DJ, Knisely JPS, Duncan JS. Image registration for prostate radiation therapy based on a statistical model of transmission images. Med. Phys. Oct 2009; 36(10):4555-4568.
  • Munbodh R, Chen Z, Jaffray DA, Moseley DJ, Knisely JPS, Duncan JS. Automated 2D-3D registration of MV portal images and kV cone-beam CT data using line-segment enhancement. Med. Phys. Oct 2008; 35(10):4352-4361.
  • Munbodh R, Jackson A, Bauer J, Schmidtlein CR, Zelefsky MJ. Dosimetric and spatial indicators of late rectal toxicity after high-dose intensity modulated radiation therapy for prostate cancer. Med. Phys. May 2008; 35(5):2137-2150. (Featured on Memorial Sloan-Kettering Cancer Center Science Sparks)
  • Munbodh R, Moseley DJ. 2D-3D registration for brain radiation therapy using a 3D CBCT and a single limited field-of-view 2D kV radiograph. Proceedings of the 17th International Conference on the Use of Computers in Radiation Therapy (ICCR 2013), 2013.
  • Turner JD, Joshi BS, Panday A, Munbodh R, Zaveri HP. A comparison of Euclidean and brain surface cortico-cortical distance measures. Proceedings of the 16th International IEEE/EMBS Conference on Neural Engineering (NER), 2013.