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
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;
Conference_Titel :
Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on
Conference_Location :
Kyoto
DOI :
10.1109/SITIS.2013.121