Pulmonary airways tree segmentation from CT examinations using adaptive volume of interest

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7259, Issue , 2009, Pages

  Park, Sang Cheol ^a   Kim, Won Pil ^b   Zheng, Bin ^a   Leader, Joseph K ^a   Pu, Jiantao ^a   Tan, Jun ^a   Gur, David ^a  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b Chosun Coll of Sci and Technology   (South Korea)

Author keywords

3 D region growing; Computed tomography; Pulmonary airways tree segmentation; Threshold selection; Volume of interest

Indexed keywords

AIRWAY TREE SEGMENTATION; CHEST CT; CHRONIC OBSTRUCTIVE PULMONARY DISEASE; COMPUTED TOMOGRAPHY; CT IMAGE; CYSTIC FIBROSIS; DATA ANALYSIS; DATA SETS; FALSE POSITIVE; IDENTIFICATION RATES; ITERATIVE THRESHOLD; LUNG DISEASE; LUNG VOLUME; PULMONARY AIRWAYS; RECONSTRUCTION KERNEL; REGION GROWING; REGION GROWING ALGORITHM; SECTION THICKNESS; TREE BRANCHES; TREE SEGMENTATION; TREE STRUCTURES; VOLUME OF INTEREST;

BIOLOGICAL ORGANS; COMPUTERIZED TOMOGRAPHY; D REGION; DATA COMPRESSION; IMAGE RECONSTRUCTION; IMAGE SEGMENTATION; IMAGING SYSTEMS; MEDICAL IMAGING;

THREE DIMENSIONAL;

EID: 71649098609     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.810947     Document Type: Conference Paper

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