Prof. (Dr.) Amit Mehndiratta received his D.Phil. in Engineering Science from University of Oxford, UK. Amit is a fully qualified medical doctor with MBBS from Dr. MGR Medical University, Chennai, India and Master’s in Medical Technology from Indian Institute of Technology Kharagpur (IIT Kgp). Over the last twelve years Amit has been involved in doing extensive research in field of biomedical imaging, clinical radiology and neurorehabilitative technologies. Amit has been working as a post-doctoral research fellow at Institute of Biomedical Engineering at University of Oxford, UK before relocating to IIT Delhi as faculty in Biomedical Engineering. Amit has undertaken research projects in biomedical engineering at many other internationally leading research institutes and companies including, Harvard Medical School, Boston; the German Cancer Research Centre (DKFZ), Heidelberg, Germany and Siemens Healthcare, India. At Massachusetts General Hospital (Harvard Medical School), Amit was working towards clinical validation of dynamic imaging technique using wide area detector for Computed Tomography (CT) imaging. He was part of clinical specialist team with Siemens Healthcare India to facilitate research and collaborations in Dual Energy CT. In association with IITD and AIIMS, Amit is now working towards development of quantitative imaging analysis methodologies for quantitative biomedical imaging that could be beneficial to much wider clinical community. His areas of interest include Magnetic Resonance Imaging (MRI) in cancer diagnostics and chemotherapy response assessment. In MRI he specializes in MR Diffusion Imaging, IntraVoxel Incoherent Motion (IVIM) MRI and MR Perfusion Imaging. Amit research interest also include NeuroAssistive technologies for stroke rehabilitation. His research group has successfully developed robotic exoskeletal device for rehabilitation of upper limb that is in phase III clinical validation studies now. He also work in area of augmented reality / virtual reality technology for development of novel therapeutic protocols to facilitate rehabilitation in stroke.
Areas of Interest:
Magnetic Resonance Imaging, Quantitative Medical Image Analysis, Image Processing, Neurorehabilitation, Assistive Technologies, Machine Learning.