Example-based restoration of high-resolution magnetic resonance image acquisitions

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 131-138

  Konukoglu, Ender ^a   Van Der Kouwe, Andre ^a   Sabuncu, Mert Rory ^a   Fischl, Bruce ^a  

^a MASSACHUSETTS GENERAL HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CONTRAST TO NOISE RATIO; FINE-SCALE STRUCTURES; HIGH RESOLUTION; HIGH SIGNALTO-NOISE RATIOS (SNR); LOWER RESOLUTION; METHOD OF AVERAGING; NON-LOCAL MEANS; RESTORATION METHODS;

COMMUNICATION CHANNELS (INFORMATION THEORY); IMAGE RECONSTRUCTION; MAGNETIC RESONANCE IMAGING; RESTORATION; SIGNAL TO NOISE RATIO;

TECHNOLOGY TRANSFER;

ALGORITHM; ARTICLE; ARTIFACT; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; ARTIFACTS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

EID: 84894629148     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_17     Document Type: Conference Paper

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