Quantitative Multimodal Musculoskeletal Imaging (QMMI) team at QMISG, is specialized in developing software image analysis methods to design and to develop Bone Quality Biomarkers for bone disease detection and diagnosis via multimodal imaging (STE-/UTE-/ZTE-/c-MRI, DXA QCT, QUS), to be applied on cortical and trabecular bone compartments. The primary focus of the team has been on age-related deterioration of cortical bone and bone loss through ex-vivo and in-vivo substantial experiences, including Osteoporosis. The prospective goal of QMMI will be tailored integration of multimodal imaging science with corporative clinical practice to create a dependable and consistent musculoskeletal research-based imaging technologies.
  1. Design and Development of Quantitative MRI Protocols (UTE-/ZTE-/STE-MRI) for Staging Human Cortical Bone Age-Related Deterioration (including Osteoporosis)
  2. Cortical Bone Imaging ex-vivo and in-vivo for Cortical Bone Water Compartments’ Quantification`
  3. Multimodal Imaging for Bone Quality Detection and Diagnosis (Quantitative Bone Biomarker Development)
  1. Malakeh Malekzadeh, PhD Candidate in Medical Physics
  2. Shahrokh Abbasi-Rad, PhD Candidate in Biomedical Engineering
  3. Mahsa Talebi, MSc Student in Medical Imaging
  4. Nazanin Mobini, MSc Graduate in Biomedical Engineering
  5. Sevil Zanjani, BSc Student in Biomedical Engineering, BSc Student in Computer Engineering
  1. National and International Multi-Institutional Multimodal Osteoporosis Studies
  2. Development of Computer-Aided Diagnostic/Decision Software Packages
  3. Funding National and International Grant Proposals
  4. Publishing High IF Publications (patents/journal papers)