Laboratory for Advanced MR Imaging and Spectroscopy (LAMIS) focuses on design and development of next generation MRI pulse sequences incorporated with MRI quality control/quality assurance facilities for both acquisition hardware and analysis software. LAMIS team invents innovative methodologies to generate novel contrast mechanisms leading to high accuracy, pathology specific, and hardware-driven biomarkers for disease diagnosis and treatment planning. Such paradigm design includes spin manipulation and simulation platform, pulse sequence design, on-demand hardware development, and application-specific reconstruction algorithm and quality control workflow.
1. Spin Dynamics: Modeling and understanding of MR signal generation and acquisition mechanisms for different pulse sequences and imaging protocols 2. MRI Simulation: Development of a MRI simulator platform to generate realistic images based on actual tissue characteristics embedded into Bloch equation modeling for different scenarios of k-space sampling, image contrast, image artefact, and noise 3. Pulse Sequence Development: Developing next generation of MRI pulse sequences to create novel contrast mechanisms leading to high accuracy, pathology specific, and hardware-driven biomarkers for disease diagnosis and treatment planning 4. RF Engineering: Design and development of MRI RF coils for multi-nuclei applications 5. QC/QA: Design and development of quality control and quality assurance workflow for state-of-the-art acquisition paradigms and MRI software analytics, promoting modern clinical applications 6. Contrast Agent: Development of next-generation MRI contrast agents for joint early detection high-throughput treatment applications in personalized medicine
  1. Mehdi Bagheri Mofidi, PhD (Hardware Design)
  2. Hamid Emadi, PhD (Contrast Agent)
  3. Sima Ahmadian, PhD Candidate (QA/QC)
  4. Shahrokh Abbasi Rad, PhD Candidate (Pulse Sequence)
  5. Moloud Payab, PhD Candidate (Contrast Agent)
  6. Farzaneh Sharifzad, PhD Candidate (Contrast Agent)
  7. Marzieh Ramezani, PhD Candidate (Contrast Agent)
  8. Elmira Yazdani, MSc Student (Simulation)
  9. Javad Parsa, MSc (Coil Design)
  10. Pouya Gudarzi, MSc (Coil Design)
  11. Fardin Samadi, MSc Student (Pulse Sequence)
  1. Low-field benchtop NMR system
  2. High-field (7T) animal MRI system
  3. Quality control systems for versatile clinical applications