The Advanced NeuroImage Quantification and Analytics (ANIQA) Team develops cutting-edge image processing and analysis techniques for both basic and clinical neurosciences. The ANIQA research approach emphasizes a dual focus on specific core technologies and collaborative, application-driven projects. The activities of ANIQA are centered at the Tehran University of Medical Sciences, in partnership with the Neurosurgery Ward and Radiology Department at Imam Khomeini Hospital in Tehran, and include collaborators throughout Iran and across the globe.

ANIQA employs advanced computational methods to tackle algorithmic challenges in image computing for both basic science and applied clinical investigations. The team designs innovative tools for subject-specific image analysis, striving to enhance the precision and impact of neuroimaging in healthcare.

ANIQA is dedicated to advancing the application of sophisticated imaging and analytical tools to explore the neural foundations of brain disorders across diverse patient populations. Equally, the team is committed to conducting structural and functional studies of the human brain using state-of-the-art techniques, contributing to the development of future imaging modalities, and disseminating knowledge about the brain, mind, and imaging across scientific and clinical communities.

• 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

• Design and development of multi-parametric MRI protocols for cancer diagnosis, treatment monitoring, and planning
• Patient-specific imaging solutions for brain tumors, head and neck, breast, prostate, liver, and gynecological cancers
• Quantitative analysis using AI-driven techniques, integrating both big and small data for precision medicine