Navid Zeraatkar

Navid Zeraatkar, PhD, is a Lecturer at the T.H. Chan School of Medicine within UMass Chan Medical School, specializing in Radiology. His research focuses on advanced imaging technologies and computational methodologies in nuclear medicine.

• BSc in Electronics Engineering from Ferdowsi University of Mashhad
• MSc in Medical Radiation Engineering from Shahid Beheshti University
• PhD in Molecular & Cellular Imaging from Tehran University of Medical Sciences

Dr. Zeraatkar's work spans Medical Imaging, Nuclear Medicine, and Biomedical Engineering, with particular emphasis on:

• Optimization of SPECT/PET systems
• Image reconstruction algorithms
• Collimator design and radiation detection
• Deep learning applications in medical imaging
• Partial volume correction techniques
• Small-animal imaging systems

His publications (2011-2025) demonstrate expertise in gamma camera technologies, computational modeling, and translational imaging research. Key collaborations include Michael A. King and other experts in biomedical instrumentation.

Dr. Zeraatkar contributes to the King Lab at UMass Chan Medical School, working with teams on preclinical and clinical imaging solutions. Current projects focus on adaptive multi-pinhole SPECT systems and AI-driven image enhancement.