Latest information on COVID-19
Support teaching, research, and patient care.
Mojtaba Jafaritadi received his B.Sc. degree in Biomedical Engineering (EE), in 2012, M.Sc. in Biomedical Imaging from Åbo Akademi University BioImaging Master's Degree Program, and Ph.D. degree in Medical Physics and Engineering from the University of Turku, Finland, in 2014 and 2018, respectively. Prior to joining Stanford University, he was a Principal Lecturer in Artificial Intelligence at Turku University of Applied Sciences (TUAS), Senior Researcher at the University of Turku, Research Scientist in Precordior Company, and Doctoral Researcher at Turku PET Center in Finland. His research interests focus on motion estimation based on multidimensional MEMS sensors, 4D imaging, data- and device-driven respiratory and cardiac gating, signal processing, AI-enabled medical image processing, machine learning, and deep learning. Dr. Jafari has a strong interest in PET/MRI imaging, in particular, image reconstruction, head and body motion tracking, PET image denoising, synthetic image generator systems, and PET instrumentation.
This project considers Microelectromechanical (MEMS) sensors for head motion tracking in clinical PET/MRI studies.
Dr. Jafaritadi is working on the device- and data-driven motion estimation systems for brain PET imaging. His research focuses on motion tracking using multidimensional MEMS motion sensors, signal processing, and machine learning. He is also interested in working on data-driven motion correction and image enhancement for PET/MRI using deep neural networks.