Morphometry of anatomical shape complexes with dense deformations and sparse parameters

NeuroImage

Volumn 101, Issue , 2014, Pages 35-49

  Durrleman, Stanley ^a,b,c,d,e   Prastawa, Marcel ^f   Charon, Nicolas ^g   Korenberg, Julie R ^f   Joshi, Sarang ^f   Gerig, Guido ^f   Trouvé, Alain ^g  

^a INRIA ROCQUENCOURT   (France)

^b SORBONNE UNIVERSITÉ   (France)

^c INSERM   (France)

^d CNRS   (France)

^e PITIÉ SALPÊTRIÈRE HOSPITAL   (France)

^f UNIVERSITY OF UTAH   (United States)

^g UNIVERSITÉ PARIS SACLAY   (France)

Author keywords

Anatomy; Deformation; Morphometry; Shape; Statistics; Varifold

Indexed keywords

ANATOMIC MODEL; ANATOMICAL CONCEPTS; ARTICLE; CALCULATION; CLINICAL ARTICLE; CONTROLLED STUDY; DENSE DEFORMATION; DOWN SYNDROME; FIRST CERVICAL VERTEBRA; HUMAN; KERNEL METHOD; MATHEMATICAL COMPUTING; MORPHOMETRICS; MULTIVARIATE ANALYSIS; NEUROIMAGING; NONLINEAR SYSTEM; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; PROCESS OPTIMIZATION; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY; SPARSE PARAMETER; STATISTICAL MODEL; STATISTICAL PARAMETERS; STATISTICAL SIGNIFICANCE; TEMPLATE COMPLEX; VALIDATION PROCESS; ANATOMY AND HISTOLOGY; AUDIOVISUAL EQUIPMENT; BRAIN; COMPUTER ASSISTED DIAGNOSIS; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; STATISTICAL ANALYSIS;

BRAIN; DATA INTERPRETATION, STATISTICAL; DOWN SYNDROME; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MODELS, ANATOMIC; NEUROIMAGING; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84904515284     PISSN: 10538119     EISSN: 10959572     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2014.06.043     Document Type: Article

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