Goals of the course:
The course on Parallel imaging: Basic and advanced reconstruction concepts is designed to provide a firm conceptual and practical foundation. Attendees will be brought up to date with established techniques and will develop an appreciation of emerging technologies and methods in multi-channel MRI. The three-day course will rely heavily on interactive tutorials using the MATLAB/Python programming environment. Computers and licenses will be provided for the length of the course. At the end of the course, attendees will understand the basic principles and practical implementation of Cartesian and non-Cartesian parallel imaging methods, spatio-temporal undersampling methods and Compressed Sensing. Attendees will also appreciate the role of these methods in established research practice and how such methods may develop and influence MRI research and practise in the future.
This course will focus on
•Image domain pMRI – reconstruction methods
•k-space pMRI – reconstruction methods
•Artifacts & pitfalls in parallel imaging
•Coils and calibration – practical implementation
•Iterative methods & non-Cartesian reconstruction
•Advanced parallel imaging strategies
•Spatio-temporal undersampling and reconstruction
•Compressed Sensing (CS)
•Future directions in multi-channel MRI
This course is intended for MR physicists, other scientists and PhD students who already have experience in basic MR methods and knowledge of MR acquisition principles, and who wish to extend their knowledge on Parallel imaging principles and techniques. Some knowledge of MATLAB/Python will be advantageous. All tutorials will be based around pre-existing code prepared for this course. Attendees must have some programming experience and be willing to work with MATLAB/Python.
This course runs from introductory to advanced methods over the three days. At the end of these three days, attendees will take with them the programme code that has been provided and developed by them. This code, in combination with notes taken at the course, will form a package that will enable attendees to implement all the methods discussed during the course.
Details and Registration: