Compact Course on MR Imaging

Timing: 10 AM - 1 PM (Dec 11- 14, 2017)

Location: CDS 202, IISc, Bangalore, Karnataka MAP

Syllabus:

• Monday: Motivation, MR physics, signal equation
• Tuesday: 2D/3D imaging, sampling considerations, contrast, noise
• Wednesday: discrete object approximation, parallel imaging
• Thursday: model-based reconstruction, physics-based constraints

Real-Time Content & Exercises (updated ~4pm each day , bold = highly recommended):

• Monday
  • Recorded PDF lectures available HERE, under "Pencasts", requires the latest Adobe Acrobat reader and speakers.
  • Exercises (Preliminaries): 2.1(a,b), 2.2(b,c,d), 2.3, 2.4, 2.6, 2.7
  • Exercises (Physics): 4.1, 4.2, 4.4
  • Bloch Simulation in Matlab w/ Exercises
• Tuesday:
  • Exercises (Sampling & Imaging): 5.1, 5.2, 5.4, 5.5a, 5.6, 5.7, 5.8
  • Exercises (Considerations): 7.5, 7.9
  • Matlab: Download and run Matlab MR sampling demo
  • Matlab: Assignment using headraw.mat simpulse.m sliceselect.mat and specspat.mat
• Wednesday:
  • Exercises (Considerations): 7.1, 7.4, 7.6(a,b), 7.7, 7.10, 7.11, 7.13
  • (if you have a Mac): Install SpinBench MRI Simulator and run the Demos.
• Thursday:
  • Exercises: TBD

Textbooks:

• DG Nishimura, Principles of Magnetic Resonance Imaging. Lulu Press. (needed for completing the course)
• ZP Liang and PC Lauterbur, Principles of Magnetic Resonance Imaging: a Signal Processing Perspective, Wiley-IEEE
• MA Bernstein et al., Handbook of MRI Pulse Sequences, Academic Press
• EM Haacke et al., MRI: Physical Principles and Sequence Design, Wiley

Other Resources:

• Matlab Demos, Functions, Datasets
• SpinBench MRI Simulator (Mac only)

Instructor:

Krishna Nayak is a Professor of Electrical Engineering at the University of Southern California (USC), with joint appointments in Biomedical Engineering and Radiology. He directs the Magnetic Resonance Engineering Laboratory, and manages a portfolio of projects that involve the development and translation of novel magnetic resonance imaging (MRI) acquisition, reconstruction, and analysis techniques. Current projects include applications of real-time MRI, cardiac MRI without contrast agents, and application of compressed sensing to clinical MRI. He received his PhD in Electrical Engineering from Stanford University in 2001, his MS in Electrical Engineering from Stanford in 1996, and BS degrees in Electrical Engineering, Computer Science, and Applied Mathematics from Florida State University in 1995. Dr. Nayak has published 100+ journal papers, 250+ conference papers, and has received 10+ US patents. He is a visiting professor of IISc with the support from Pratiksha Trust.

Course Information: https://docs.google.com/document/d/19F_vHG3Gb9XFPGXGT6aw9mOiVIAGm22fd_hi76-mf9w/edit?usp=sharing

Registration (open only for members of academic organisations*): https://goo.gl/forms/Fncn79WjCMtRXNdF2 (closes on Nov-30, 2017)

* Outstation participants have to make their own arrangements for travel and accommodation