Computational identification and quantification of trabecular microarchitecture classes by 3-D texture analysis-based clustering

Bone

Volumn 54, Issue 1, 2013, Pages 133-140

  Valentinitsch, Alexander ^a,b   Patsch, Janina M ^a,b   Burghardt, Andrew J ^b   Link, Thomas M ^b   Majumdar, Sharmila ^b   Fischer, Lukas ^a   Schueller Weidekamm, Claudia ^a   Resch, Heinrich ^c   Kainberger, Franz ^a   Langs, Georg ^a  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c St Vincent Hospital Vienna   (Austria)

Author keywords

3D Texture analysis; HR pQCT; Trabecular microarchitecture classes; Unsupervised clustering

Indexed keywords

ADULT; AGED; ARTICLE; BONE DENSITY; BONE MASS; BONE MINERALIZATION; BONE STRENGTH; CLINICAL ARTICLE; CLUSTER ANALYSIS; COMPUTER ASSISTED TOMOGRAPHY; CORTICAL THICKNESS (BONE); DENSITOMETRY; FEMALE; FRAGILITY FRACTURE; HIGH RESOLUTION PERIPHERAL QUANTITATIVE COMPUTED TOMOGRAPHY; HISTOGRAM; HUMAN; MALE; REPRODUCIBILITY; TRABECULAR BONE;

AGED; ALGORITHMS; BONE AND BONES; BONE DENSITY; CLUSTER ANALYSIS; COMPUTER SIMULATION; FEMALE; FRACTURES, STRESS; HUMANS; IMAGING, THREE-DIMENSIONAL; MALE; MIDDLE AGED; POSTMENOPAUSE; RADIOGRAPHIC IMAGE ENHANCEMENT; REFERENCE STANDARDS; REPRODUCIBILITY OF RESULTS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84874358298     PISSN: 87563282     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.bone.2012.12.047     Document Type: Article

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