On super-resolution for fetal brain MRI

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

Volumn 6362 LNCS, Issue PART 2, 2010, Pages 355-362

  Rousseau, F ^a   Kim, K ^b   Studholme, C ^b   Koob, M ^c   Dietemann, J L ^c  

^a UNIVERSITÉ DE STRASBOURG   (France)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c Université de Strasbourg Faculté de Psychologie   (France)

Author keywords

[No Author keywords available]

Indexed keywords

ACQUISITION TIME; BRAIN MR; BRAIN MRI; DATA ACQUISITION PROTOCOL; DATA RECONSTRUCTION; HIGH RESOLUTION IMAGE; IMAGE NOISE; INPUT IMAGE; LOWER RESOLUTION; MOTION CORRECTION; MR IMAGES; RECONSTRUCTION METHOD; SCATTERED DATA INTERPOLATION; SUPER RESOLUTION;

BRAIN; MEDICAL COMPUTING; OPTICAL RESOLVING POWER;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PRENATAL DEVELOPMENT; PRENATAL DIAGNOSIS; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; PRENATAL DIAGNOSIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79960531572     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15745-5_44     Document Type: Conference Paper

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