As part of a grant received from The Royal Society to study the feasibility of using neural networks to improve resolution of MRS data using high resolution MRI, this workshop has been organised to disseminate and discuss new ideas and related research on the theme of reconstruction schemes for MR data.
We are in an era of digital revolution that is driving the development of new kinds of sensing, communication and information representation systems with demands of ever-increasing fidelity and resolution. This is commonly achieved by means of compressing or reducing in some way the information acquired. The high fidelity reconstruction of compressed and low-resolution signals has been one of the forefront areas of research nowadays. This half-day workshop will explore avenues to increase, by means of computational algorithms, the resolution of MR data.
10:00am – 10:20am – Prof. Ian Marshall (University of Edinburgh)
Introduction to MR acquisition and reconstruction and compressed sensing
10:20am – 10:40am – Dr. Rafael Ortiz Ramón (Valencia Polytechnic Institute)
Magnetic resonance microimaging of a swine infarcted heart: Performing cardiac virtual histology – Remote presentation from Valencia.
10:40am – 11:00am – Dr. Valia Guerra Ones (Queen Mary University of London)
Multi-frame super resolution based on Sparse Coding – Remote presentation from The Hague.
11:00am – 11:20am – Dr. Arnold Benjamin (University of Edinburgh)
Optimizing calibration kernels and sampling pattern for ESPIRiT based compressed sensing implementation in 3D MRI
11:20am – 11:40am – Prof. Esin Ozturk Isik (Invited Professor from Bogazici University)
Compressed Sensing for Fast 31P-MRSI of Brain Tumors and 1H-MRSI of Mild Cognitive Impairment in Parkinson’s Disease
11:40am – 12:00pm – Dr. Patryk Filipiak (University of Cologne)
Proactive Evolutionary Algorithm for Dynamic Optimisation Problems
12:00pm – 13:00pm – Morning Discussion Session
13:00pm -14:00pm – Lunch
Tea and coffee will be available during the session and sandwich lunch will be provided. To organise the catering, please, the organisers will be grateful if you can confirm your attendance by e-mailing M.Valdes-Hernan@ed.ac.uk by 8th August 2016.