Image Reconstruction
Michael H. Buonocore, Organizer


Last updated 20 January 2009

Educational Objectives:
Upon completion of this session, participants should be able to:

  • Describe gridding theory and compare different gridding techniques;
  • Describe the hardware used in real-time imaging;
  • Explain reconstruction techniques used when the usual amount of data is not available;
  • Describe specialized techniques to correct for system imperfections and to reduce effects of noise.

The final five minutes of each talk will be reserved for questions.

Tuesday, 24 April
Gridding Theory and Methods

07:00 Introduction: Choice of Convolution Kernels, Artifacts vs. Speed Peter Boernert
07:30 Data Weighting, SNR, Resolution, and Aliasing Issues James G. Pipe

Wednesday, 25 April
Hardware and Reconstruction for Real-Time Imaging

07:00 Fluoroscopy and Real-Time Reconstruction Processors Steven J. Riederer
07:30 Reconstruction of Data from Multiple Coils Klaas P. Pruessmann

Thursday, 26 April
Reconstruction from Limited Data; Data Sharing

07:00 Reconstruction from Limited Data and Data Sharing; General Techniques Zhi-Pei Liang
07:30 Techniques for MRA Charles Mistretta

Friday, 27 April
Data Correction

07:00 Off-Resonance, Eddy-Current, Maxwell Corrections, and Others Joseph V. Hajnal
07:30 Navigator Correction Techniques Peter D. Gatehouse