Content Gazette - March 2020 - 22

Contents

Volume 37 | Number 1 | January 2020

SPECIAL SECTION

COMPUTATIONAL MRI:
COMPRESSED SENSING
AND BEYOND

LUG-AND-PLAY METHODS FOR
105 PMAGNETIC
RESONANCE IMAGING

Jonathan I. Tamir, Frank Ong,
Suma Anand, Ekin Karasan,
Ke Wang, and Michael Lustig

Rizwan Ahmad, Charles A. Bouman,
Gregery T. Buzzard, Stanley Chan,
Sizhuo Liu, Edward T. Reehorst,
and Philip Schniter

21 FROM THE GUEST EDITORS

Mathews Jacob, Jong Chul Ye,
Leslie Ying, and Mariya Doneva

OMPRESSED SENSING: FROM
117 CRESEARCH
TO CLINICAL PRACTICE

MATHEMATICAL MODELS
FOR MAGNETIC RESONANCE
IMAGING RECONSTRUCTION

WITH DEEP NEURAL NETWORKS

Mariya Doneva

METHODS FOR
33 OPTIMIZATION
MAGNETIC RESONANCE
IMAGE RECONSTRUCTION
Jeffrey A. Fessler

LEARNING FOR
41 TRANSFORM
MAGNETIC RESONANCE IMAGE
RECONSTRUCTION

Bihan Wen, Saiprasad Ravishankar,
Luke Pfister, and Yoram Bresler

LOW-RANK
54 STRUCTURED
ALGORITHMS

OMPUTATIONAL MRI WITH
C
PHYSICS-BASED CONSTRAINTS

ON THE COVER
The 11 articles in this special issue of IEEE Signal
Processing Magazine represent three broad categories:
1) model-based reconstruction in magnetic resonance
imaging (MRI) using fixed transforms; 2) shallow-learning
methods that adapt the transform or representation to the
data; and 3) deep-learning algorithms for MRI. While the
focus is on medical imaging and in particular MRI, most
of the problems, and hence solutions, are easily translatable to signal recovery applications in other areas.

COVER IMAGES-WOMAN DOCTOR: ©ISTOCKPHOTO.COM/ALVAREZ
PATIENT IN MRI SCANNER: ©ISTOCKPHOTO.COM/NATTRASS
DATA STORAGE: ©ISTOCKPHOTO.COM/ VLADIMIR_TIMOFEEV

Mathews Jacob, Merry P. Mani,
and Jong Chul Ye

METHODS FOR
128 DEEP-LEARNING
PARALLEL MAGNETIC RESONANCE
IMAGE RECONSTRUCTION

Florian Knoll, Kerstin Hammernik,
Chi Zhang, Steen Moeller,
Thomas Pock, Daniel K. Sodickson,
and Mehmet Akcakaya

DEEP MAGNETIC RESONANCE
141 IMAGE
RECONSTRUCTION

Dong Liang, Jing Cheng, Ziwen Ke,
and Leslie Ying

LINEAR PREDICTABILITY
IN MAGNETIC RESONANCE
IMAGING RECONSTRUCTION

Justin P. Haldar and Kawin Setsompop

Christopher M. Sandino,
Joseph Y. Cheng, Feiyu Chen,
Morteza Mardani, John M. Pauly,
and Shreyas S. Vasanawala

CCELERATED DYNAMIC MAGNETIC
A
RESONANCE IMAGING USING
LEARNED REPRESENTATIONS

PG. 163

Anthony G. Christodoulou
and Sajan Goud Lingala

PG. 16

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Digital Object Identifier 10.1109/MSP.2019.2943681

IEEE SIGNAL PROCESSING MAGAZINE [|22
January
2020 | 2020
www.signalprocessingsociety.org
] MARCH

Content Gazette - March 2020

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