Toward reliable multi-generational analysis of anatomical trees in 3D high-resolution CT images

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5031, Issue , 2003, Pages 178-186

  Yu, K C ^a   Ritman, E L ^b   Kiraly, A P ^a   Wan, S Y ^c   Zamir, M ^d   Higgins, W E ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b MAYO CLINIC   (United States)

^c CHANG GUNG UNIVERSITY   (Taiwan)

^d UNIVERSITY OF WESTERN ONTARIO   (Canada)

Author keywords

3D imaging; Arterial trees; Data mining; Micro CT; Vascular networks

Indexed keywords

ALGORITHMS; BLOOD VESSELS; COMPUTATIONAL GEOMETRY; DATA MINING; FEATURE EXTRACTION; IMAGE PROCESSING; IMAGE SEGMENTATION; INTERACTIVE COMPUTER GRAPHICS; THREE DIMENSIONAL COMPUTER GRAPHICS; TREES (MATHEMATICS);

ANATOMICAL TREES; ARTERIAL TREES; MULTI-GENERATIONAL ANALYSIS; THREE DIMENSIONAL IMAGING; VASCULAR NETWORKS;

COMPUTERIZED TOMOGRAPHY;

EID: 0043283968     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.480299     Document Type: Conference Paper

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