EM segmentation of the distal femur and proximal tibia: A high-throughput approach to anatomic surface generation

Annals of Biomedical Engineering

Volumn 39, Issue 5, 2011, Pages 1555-1562

  Ramme, Austin J ^a,b   Criswell, Amy J ^b   Wolf, Brian R ^a   Magnotta, Vincent A ^a,b   Grosland, Nicole M ^a,b  

^a UNIVERSITY OF IOWA   (United States)

^b University of Iowa   (United States)

Author keywords

3D segmentation; Bone; Computed tomography; Expectation maximization; Knee

Indexed keywords

3D SEGMENTATION; AUTOMATED SEGMENTATION; BONE SEGMENTATION; COMPUTED TOMOGRAPHY; CT IMAGE; DISTAL FEMURS; EM ALGORITHMS; EXPECTATION MAXIMIZATION; EXPECTATION-MAXIMIZATION ALGORITHMS; HIGH-THROUGHPUT APPROACHES; KNEE; MANUAL SEGMENTATION; MANUAL TRACING; MEAN VALUES; PROBABILITY MAPS; QUALITY METRICS; SEGMENTATION METHODS; SEMI-AUTOMATED; SURFACE GENERATIONS;

ALGORITHMS; BONE; COMPUTERIZED TOMOGRAPHY; MAXIMUM PRINCIPLE; OPTIMIZATION; THREE DIMENSIONAL;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; FEMUR; HUMAN; IMAGE PROCESSING; METHODOLOGY; RADIOGRAPHY; TIBIA;

ALGORITHMS; FEMUR; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; TIBIA; TOMOGRAPHY, X-RAY COMPUTED;

EID: 79954433293     PISSN: 00906964     EISSN: 15739686     Source Type: Journal    
DOI: 10.1007/s10439-010-0244-7     Document Type: Article

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