PORTR: Pre-operative and post-recurrence brain tumor registration

IEEE Transactions on Medical Imaging

Volumn 33, Issue 3, 2014, Pages 651-667

  Kwon, Dongjin ^a   Niethammer, Marc ^b   Akbari, Hamed ^a   Bilello, Michel ^a   Davatzikos, Christos ^a   Pohl, Kilian M ^c,d  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c STANFORD UNIVERSITY   (United States)

^d SRI INTERNATIONAL   (United States)

Author keywords

Brain tumor magnetic resonance imaging (MRI); Deformable registration; Discrete continuous optimization; Tumor growth model; Tumor segmentation

Indexed keywords

BRAIN; DEFORMATION; MAGNETIC RESONANCE IMAGING;

BRAIN TUMORS; DEFORMABLE REGISTRATION; INTENSITY PROFILES; OPTIMAL SOLUTIONS; QUANTITATIVE AND QUALITATIVE ANALYSIS; STATE-OF-THE-ART APPROACH; TUMOR GROWTH MODELING; TUMOR SEGMENTATION;

TUMORS;

ARTICLE; CANCER REGISTRY; CANCER SURGERY; GLIOMA; HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; NUCLEAR MAGNETIC RESONANCE SCANNER; PRE OPERATIVE AND POST RECURRENCE BRAIN TUMOR REGISTRATION; PREOPERATIVE EVALUATION; QUALITATIVE ANALYSIS; TUMOR RECURRENCE;

BRAIN; BRAIN NEOPLASMS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGE PROCESSING, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING;

EID: 84896305853     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMI.2013.2293478     Document Type: Article

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