A superresolution framework for fMRI sequences and its impact on resulting activation maps

Lecture Notes in Computer Science

Volumn 2879, Issue PART 2, 2003, Pages 117-125

  Kornprobst, P ^a   Peelers, R ^b   Nikolova, M ^c   Deriche, R ^a   Ng, M ^d   Van Hecke, P ^b  

^a INRIA   (France)

^b UNIVERSITY OF LEUVEN   (Belgium)

^c TELECOM PARISTECH   (France)

^d UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ANISOTROPY; COMPUTER VISION; IMAGE PROCESSING; IMAGE RECONSTRUCTION; IMAGING TECHNIQUES; OPTIMIZATION; PARAMETER ESTIMATION; PATTERN RECOGNITION; PROBLEM SOLVING; STATISTICAL METHODS; CHEMICAL ACTIVATION; MEDICAL COMPUTING; OPTICAL RESOLVING POWER;

ACTIVATION MAPS; HIGH RESOLUTION IMAGES; LOW-RESOLUTION MAPS; SPATIAL RESOLUTION; ACQUISITION PROTOCOLS; EDGE PRESERVING; LOW RESOLUTION IMAGES; OBJECTIVE FUNCTIONS; OPTIMIZATION PROBLEMS; PROCESSING TECHNIQUE; SUPER RESOLUTION; VARIATIONAL FRAMEWORK;

MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING;

EID: 0344392279     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-540-39903-2_15     Document Type: Conference Paper

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