The Advanced NeuroImage Quantification and Analytics (ANIQA) Team develops image processing and analysis techniques for basic and clinical neurosciences. The ANIQA research approach emphasizes both specific core technologies and collaborative application projects. The activities of the ANIQA are centered at the Tehran University of Medical Sciences, and the Neurosurgery Ward and Radiology Department at the Imam Khomeini Hospital in Tehran, with collaborators throughout Iran and the rest of the world. The ANIQA uses advanced computational methods to investigate and to solve algorithmic image computing problems in basic and applied neuroscience, as well as to design tools for subject-specific image analysis. Its mission is to advance the role of neuroimaging and image analysis in healthcare. In fact, ANIQA team is concerned with applications of advanced imaging and analysis tools to investigate the neural bases of brain disorders in various patient populations, and also is dedicated to pursuing structural and functional studies of the human brain using state-of-the-art techniques, contributing to the development of future brain imaging modalities, and disseminating knowledge about brain, mind, and imaging to both scientific and clinical communities.


  • Epilepsy Imaging
  • Alzheimer’s Disease Imaging
  • Multiple Sclerosis Imaging
  • Hamidreza Saligheh Rad, PhD (MRI Physicist)
  • Maryam Noroozian, MD (Neurologist for Dementia)
  • Mohamm Hossein Harirchian, MD (Neurologist for MS)
  • Sohrab Hashemi Fesharaki, MD (Neurologist for Epilepsy)
  • Jafar Mehvari, MD (Neurologist for Epilepsy)
  • Sohrab Hashmei Fesharaki (Neurologist for Epilepsy)
  • Quantifying metabolites concentration in 1H-MRS of brain
  • Investigation and Comparison of Deep Learning Algorithms for Differential Diagnosis Among Alzheimer’s Disease (AD), Mild Cognitive Impairment (MCI), and Normal Based on rs-fMRI
  • Study of Diffusion Coefecient and Perfusion Information of Brain by Using Motion-Sensitive Gradients MRI
  • Extract optimal, sensetive and specific image based biomarkers to differentitate between MCI patients from AD patients using MRI-ASL-perfuison
  • Multi-fiber regeneration in brain imaging using mathematical version of the signal distribution function; Evaluation of the Phantom
  • Generation of Accurate Biomarkers for Differential Diagnosis of Patients with Amnestic Mild Cognitive Impairment from Sporadic Alzheimers Disease using Optimization of Diffusion Tensor Imaging Analysis
  • Detecting Seizure Focal Point Employing 1H-MRSI
  • Generation of Image-Based Neuro radiological Evidences for Differential Diagnosis of Patients with Amnestic Mild Cognitive Impairment from Sporadic Alzheimer’s Disease Employing Multi-parametric MRI (PWI/DTI/T1-w); A Baseline Study

Coming soon in our clinical website