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SUMMARY:By Prof. Jeffrey Fessler: Joint Optimization and Learning for Imag
 e Reconstruction in MRI
DTSTART:20220421T170000
DTEND:20220421T180000
DTSTAMP:20260415T072414Z
UID:7a566393aecc68ceb5f9bc089f8f83ad242b682ac2f1a63a70ae4626
CATEGORIES:Conferences - Seminars
DESCRIPTION:Abstract. Machine learning approaches to medical image reconst
 ruction are of considerable recent interest\, especially supervised approa
 ches that use a corpus of training data. Accelerated MRI scans\, where few
 er k-space points than image voxels are acquired\, is a natural setting fo
 r such reconstruction methods. Recently\, machine learning methods for opt
 imizing the k-space sampling have also had growing interest. This talk wil
 l summarize recent work where we jointly optimize non-Cartesian k-space sa
 mpling\, heeding physical constraints like gradient slew rate\, and a lear
 ning-based image reconstruction method.\nJoint work with Guanhua Wang\, Ti
 anrui Luo\, Jon Nielsen\, and Doug Noll\, based on http://arxiv.org/abs/21
 01.11369\n\nBiography. Jeff Fessler is the William L. Root Professor of EE
 CS at the University of Michigan. He received the BSEE degree from Purdue 
 University in 1985\, the MSEE degree from Stanford University in 1986\, an
 d the M.S. degree in Statistics from Stanford University in 1989. From 198
 5 to 1988 he was a National Science Foundation Graduate Fellow at Stanford
 \, where he earned a Ph.D. in electrical engineering in 1990. He has worke
 d at the University of Michigan since then. From 1991 to 1992 he was a Dep
 artment of Energy Alexander Hollaender Post-Doctoral Fellow in the Divisio
 n of Nuclear Medicine. From 1993 to 1995 he was an Assistant Professor in 
 Nuclear Medicine and the Bioengineering Program. He is now a Professor in 
 the Departments of Electrical Engineering and Computer Science\, Radiology
 \, and Biomedical Engineering. He became a Fellow of the IEEE in 2006\, fo
 r contributions to the theory and practice of image reconstruction. He rec
 eived the Francois Erbsmann award for his IPMI93 presentation\, and the Ed
 ward Hoffman Medical Imaging Scientist Award in 2013. He has served as an 
 associate editor for the IEEE Transactions on Medical Imaging\, the IEEE S
 ignal Processing Letters\, the IEEE Transactions on Image Processing\, the
  IEEE Transactions on Computational Imaging\, and is currently serving as 
 an associate editor for SIAM J. on Imaging Science. He has chaired the IEE
 E T-MI Steering Committee and the ISBI Steering Committee. He was co-chair
  of the 1997 SPIE conference on Image Reconstruction and Restoration\, tec
 hnical program co-chair of the 2002 IEEE International Symposium on Biomed
 ical Imaging (ISBI)\, and general chair of ISBI 2007. His research interes
 ts are in statistical aspects of imaging problems\, and he has supervised 
 doctoral research in PET\, SPECT\, X-ray CT\, MRI\, and optical imaging pr
 oblems.
LOCATION:https://imagingseminars.org/next-seminars
STATUS:CONFIRMED
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