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.

  • Design and Development of Quantitative MRI Protocols (UTE-/ZTE-/STE-MRI) for Staging Human Cortical Bone Age-Related Deterioration (including Osteoporosis)
  • Cortical Bone Imaging ex-vivo and in-vivo for Cortical Bone Water Compartments’ Quantification`
  • Multimodal Imaging for Bone Quality Detection and Diagnosis (Quantitative Bone Biomarker Development)
  • Feasibility of quantifying proton density in cortical bone employing short-TE MRI technique
  • Feature extraction from UTE-MR Images of cortical bone to quantify osteoporosis
  • Bone quality assessment by complementary role of QCT and MRI via a dual purpose MR/CT phantom
  • Design and Implementation a Method for Reconstruction of Pseudo-CT Images Using a Statistical Atlas of the Bone for Accurate Segmentation of Skull from MR Images
  • Ex vivo Cortical bone porosity assessment using short TE magnetic resonance imaging
  • Ex vivo quantification of cortical bone porosity via relaxometry and densitometry of bone water employing STE-MRI
  • STE-MRI Increased Accuracy of Conventional Bone Density (DXA) to Evaluate Bone Quality

Coming soon in our clinical website