Super-resolution methods in MRI: Can they improve the trade-off between resolution, signal-to-noise ratio, and acquisition time?

Magnetic Resonance in Medicine

Volumn 68, Issue 6, 2012, Pages 1983-1993

  Plenge, Esben ^a   Poot, Dirk H J ^a   Bernsen, Monique ^a   Kotek, Gyula ^a   Houston, Gavin ^a   Wielopolski, Piotr ^a   Van Der Weerd, Louise ^b   Niessen, Wiro J ^a,c   Meijering, Erik ^a  

^a ERASMUS MEDICAL CENTER   (Netherlands)

^b LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^c DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

image quality; magnetic resonance imaging; reconstruction; super resolution

Indexed keywords

ALGEBRA; BIOMEDICAL SIGNAL PROCESSING; ECONOMIC AND SOCIAL EFFECTS; IMAGE QUALITY; IMAGE RECONSTRUCTION; ITERATIVE METHODS; LEAST SQUARES APPROXIMATIONS; MAGNETIC RESONANCE IMAGING; MAGNETISM; OPTICAL RESOLVING POWER; PHANTOMS; RESONANCE;

ALGEBRAIC RECONSTRUCTION; HIGH RESOLUTION ACQUISITIONS; ITERATIVE BACK PROJECTIONS; MAGNETIC RESONANCE IMAGING SCANNER; QUANTITATIVE EXPERIMENTS; REGULARIZED LEAST SQUARES; SUPER RESOLUTION; SUPER RESOLUTION RECONSTRUCTION;

SIGNAL TO NOISE RATIO;

ACQUISITION TIME TRADE OFF; ALGORITHM; ANIMAL EXPERIMENT; ARTICLE; CONTROLLED STUDY; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE RECONSTRUCTION; IMAGING AND DISPLAY; MOUSE; NONHUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; RAT; SIGNAL NOISE RATIO; SIMULATION;

EID: 84864840446     PISSN: 07403194     EISSN: 15222594     Source Type: Journal    
DOI: 10.1002/mrm.24187     Document Type: Article

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