Low-Rank Atlas Image Analyses in the Presence of Pathologies

IEEE Transactions on Medical Imaging

Volumn 34, Issue 12, 2015, Pages 2583-2591

  Liu, Xiaoxiao ^a   Niethammer, Marc ^b   Kwitt, Roland ^c   Singh, Nikhil ^b   McCormick, Matt ^d   Aylward, Stephen ^d  

^a ALLEN INSTITUTE FOR BRAIN SCIENCE   (United States)

^b Brooks Computer Science Building   (United States)

^c UNIVERSITY OF SALZBURG   (Austria)

^d KITWARE INC   (United States)

Author keywords

Atlas based segmentation; Low rank and sparse decomposition; sparse images; unbiased atlas

Indexed keywords

BRAIN; IMAGE REGISTRATION; ITERATIVE METHODS; MAGNETIC RESONANCE IMAGING; PATHOLOGY; TUMORS;

ATLAS-BASED SEGMENTATION; BRAIN TUMOR SEGMENTATION; DECOMPOSITION TECHNIQUE; LOW-RANK AND SPARSE DECOMPOSITIONS; REGISTRATION METHODS; SPARSE IMAGES; TRAUMATIC BRAIN INJURIES; UNBIASED ATLAS;

IMAGE SEGMENTATION;

ARTICLE; BRAIN TUMOR; CONTROLLED STUDY; ENTROPY; FIRST CERVICAL VERTEBRA; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE REGISTRATION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REGISTRATION; TRAUMATIC BRAIN INJURY; ALGORITHM; BRAIN; IMAGE PROCESSING; PATHOLOGY; PROCEDURES;

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

EID: 84960118805     PISSN: 02780062     EISSN: 1558254X     Source Type: Journal    
DOI: 10.1109/TMI.2015.2448556     Document Type: Article

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