Quantitative and Computational Liver Imaging has been created to quantify Liver MR images. Currently, specific aims of this team are focused on two main objectives: quantification of extra fat and iron in the liver on the one hand, and liver cancer quantification on the other hand. The main goal of this team is to develop computer aided diagnostic software based on artificial intelligence for liver.

• Design and development of Multi-parametric MRI protocols for diagnostic purposes
• Patient-specific imaging in liver
• Quantitative analytical methods based on artificial intelligence techniques and big/small data

• Anahita Fathi Kazerooni, PhD in Biomedical Engineering
• Lida Ghafoori, MD (Radiologist)
  
• Salman Rezaei, MSc in Biomedical Imaging
• Behrooz Taghvaee Nia, MD (Radiologist)
• Farzin Mobayen, MSc in Medical Imaging
• Hanieh Mobarak Salari, BSc in Radiology

• Hamidreza Saligheh Rad, PhD (MRI Physicist)
• Hamidreza Haghighatkhah, MD (Radiologist)
• Niloofar Ayyoubi, MD (Radiologist)
• Farid Azmoodeh-Ardalan, MD (Pathologist)
• Moayed Alavian, MD (Clinician)
• Naser Rakhshani, MD (Pathologist)

• Quantification of Extra Fat and Iron Overload Based on T₂^*-Mapping
• Simultaneous Evaluation of Fat, Iron and Fibrosis in the Lver Disease
• Assessment of TACE with DCE- and IVIM- MRI (Multi-Parametric MRI)