Parametric Surface Diffeomorphometry for Low Dimensional Embeddings of Dense Segmentations and Imagery

IEEE Transactions on Pattern Analysis and Machine Intelligence

Volumn 39, Issue 6, 2017, Pages 1195-1208

  Tward, Daniel ^a   Miller, Michael ^a   Trouvé, Alain ^b   Younes, Laurent ^c  

^a JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITÉ PARIS SACLAY   (France)

^c Johns Hopkins University   (United States)

Author keywords

Computational anatomy; diffeomorphometry; medical imaging; neuroimaging; shape analysis

Indexed keywords

COST FUNCTIONS; EIGENVALUES AND EIGENFUNCTIONS; INVERSE PROBLEMS; MAGNETIC RESONANCE IMAGING; MEDICAL IMAGING; NEURODEGENERATIVE DISEASES; NEUROIMAGING;

COMPUTATIONAL ANATOMY; DIFFEOMORPHOMETRY; DIMENSIONALITY REDUCTION; FUNCTIONAL COMPOSITIONS; LAPLACE-BELTRAMI EIGENFUNCTIONS; SHAPE ANALYSIS; SUBCORTICAL STRUCTURES; TWO-DIMENSIONAL SURFACE;

IMAGE SEGMENTATION;

ALGORITHM; ALZHEIMER DISEASE; BRAIN; DIAGNOSTIC IMAGING; HUMAN; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PROCEDURES; THREE DIMENSIONAL IMAGING;

ALGORITHMS; ALZHEIMER DISEASE; BRAIN; HUMANS; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; NEUROIMAGING;

EID: 85019222080     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2016.2578317     Document Type: Article

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