Dr. Daryl Nazareth Daryl Nazareth, PhD, DABR

Daryl Nazareth


Special Interests:

Applications of Medical Physics to cancer diagnosis and treatment

About Daryl Nazareth


Computational methods are now playing a larger role than ever in all aspects of science, including the diagnosis and treatment of disease. No other technology has seen such tremendous advances in the last half century as computer technology. The exponential advances in computer power make it critically important to understand its potential, and leverage its capabilities in our fight against cancer. As a medical physicist, I am interested in applying computational techniques to problems in radiation medicine.


Roswell Park Comprehensive Cancer Center

  • Medical Physicist
  • Department of Radiation Medicine

University at Buffalo

  • Assistant Professor
  • Medical Physics Program


Education and Training:

  • PhD - Department of Physics, State University of New York at Buffalo, Buffalo, NY
  • MS - Department of Physics, State University of New York at Binghamton
  • BSc - Departments of Mathematics and Physics, University of Toronto


Research Overview:

A large and promising branch of computation is optimization, or techniques for selecting values of independent variables that maximize or minimize a particular parameter, or goal. In radiation oncology, there is the goal of maximizing the radiation dose delivered to the tumor region, while at the same time minimizing the dose absorbed by healthy tissue. This is accomplished by varying the independent parameters (such as radiation beam energy, intensity, shape, and delivery geometry) of a treatment plan.

One exciting clinical treatment modality that incorporates these ideas is intensity modulated radiation therapy, or IMRT. Our recent work has focused on applying principles of computation to the optimization of patient-specific parameters in IMRT. We have explored promising optimization techniques, such as the genetic algorithm, which is based on ideas from biological evolution. These methods become even more powerful when implemented in a distributed-computing framework. To this end, we have formed a collaboration with the Center for Computational Research (CCR), an academic supercomputing center that forms part of UB’s Center for Excellence. By employing the CCR’s computational resources, we have applied the genetic algorithm to improve IMRT treatment plans.

Another project involving optimization addresses the patient setup problem: how do we best position a patient for a complex radiation treatment, ensuring that he or she is in the correct 3D location and orientation? We are investigating a novel approach to this problem, by using optical information obtained from a regular digital camera, and applying optimization techniques to determine the 3D geometric parameters accurately. This method will allow us to improve patient setup without subjecting the patient to increased ionizing radiation exposure.


  • Bakhtiari M, Malhotra H, Jones MD, Chaudhary V, Walters JP, Nazareth D. Applying graphics processor units to Monte Carlo dose calculation in radiation therapy. Journal of medical physics 2010; 35(2):120-122
  • Martin KL , Gomez J , Nazareth DP , Warren GW , Singh AK. Substantial dose is incidentally delivered to mediastinal and hilar nodes during stereotactic body radiation therapy for peripheral NSCLCA. International journal of radiation oncology, biology, physics 2010; 78(3 Suppl. 1):S512
  • Schildkraut JS , Prosser N , Savakis A , Gomez J , Nazareth D , Singh AK , Malhotra HK. Level-set segmentation of pulmonary nodules in megavolt electronic portal images using a CT prior. Medical physics 2010; 37(11):5703-5710
  • Nazareth D, Brunner S, Jones M, Malhotra H, Bakhtiari M. Optimization of beam angles for intensity modulated radiation therapy treatment planning using genetic algorithm on a distributed computing platform. Journal of medical physics 2009; 34(3):129-132
  • Martin KL, Gomez J, Nazereth DP, Warren GW, Singh AK. Substantial incidental mediastinal and hilar irradiation is delivered during definitive stereotactic body radiation therapy for peripheral non-small cell lung cancer. Journal of thoracic oncology 2010; 5(12 Suppl. 7):S519
  • Nazareth D, Jones M, Liu J, Kuettel M, Furlani T, Podgorsak M. A distributed-computing framework using nested partitions for beam-angle optimization in IMRT. Medical physics 2007; 34(6):2403
  • D'Souza WD, Nazareth DP, Zhang B, Deyoung C, Suntharalingam M, Kwok Y, Yu CX, Regine WF. The use of gated and 4D CT imaging in planning for stereotactic body radiation therapy. Medical dosimetry 2007; 32(2):92-101
  • D'Souza WD, Zhang HH, Nazareth DP, Shi L, Meyer RR. A nested partitions framework for beam angle optimization in intensity-modulated radiation therapy. Physics in medicine and biology 2008; 53(12):3293-3307
  • Meyer RR, Zhang HH, Goadrich L, Nazareth DP, Shi L, D'Souza WD. A multiplan treatment-planning framework: a paradigm shift for intensity-modulated radiotherapy. International journal of radiation oncology, biology, physics 2007; 68(4):1178-1189
  • Zhang HH, Shi L, Meyer R, Nazareth D, D'souza W. Solving beam-angle selection and dose optimization simultaneously via high-throughput computing. INFORMS journal on computing 2009; 21(3):427-444
  • Martin KL, Gomez J, Nazareth DP, Warren GW, Singh AK. Quantification of incidental mediastinal and hilar irradiation delivered during definitive stereotactic body radiation therapy for peripheral non-small cell lung cancer. Medical dosimetry 2012; 37(2):182-185