DocumentCode
3136287
Title
An Automated Recognition Technique for Lung Vessel Tree Using Chest Multi-slice CT Images
Author
Hanaizumi, Hiroshi
Author_Institution
Fac. of Comput. & Inf. Sci., Hosei Univ., Koganei, Japan
fYear
2013
fDate
2-5 Dec. 2013
Firstpage
744
Lastpage
750
Abstract
An Automated Recognition Technique for Lung Vessel Tree (ARTLVT) was proposed. ARTLVT was a one of 3-dimensional processing techniques, and had a recognition engine named Successive Region Growing (SRG). ARTLVT automatically found a cross-section of trachea from multi-slice CT images of hundreds. ARTLVT applied SRG to the cross-section and extracted trachea, bronchi and both lung fields. Based on the fact that lung vessels went into lung field together with bronchus through a narrow area (named window of lung field), ARTLVT found the window and applied SRG again for the lung vessels. SRG well recognized vessel branching point and all the branching point positions were stored in the lung vessel tree. ARTLVT was successfully applied to multi-temporal sets of actual multi-slice CT images.
Keywords
computerised tomography; feature extraction; image recognition; image registration; medical image processing; 3D processing techniques; ARTLVT; SRG recognition engine; automated recognition technique; bronchi; chest multislice CT images; computerised tomography; lung vessel tree; successive region growing; trachea; vessel branching point; Bifurcation; Computed tomography; Filling; Lungs; Shape; Three-dimensional displays; 3D registration; significance; successive region growing; temporal change detection; topology change;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on
Conference_Location
Kyoto
Type
conf
DOI
10.1109/SITIS.2013.121
Filename
6727271
Link To Document