Title
Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images.
Abstract
This paper describes a fully automated segmentation and recognition scheme, which is designed to recognize lung anatomical structures in the human chest by segmenting the different chest internal organ and tissue regions sequentially from high-resolution chest CT images. A sequential region-splitting process is used to segment lungs, airway of bronchus, lung lobes and fissures based on the anatomical structures and statistical intensity distributions in CT images. The performance of our scheme is evaluated by segmenting lung structures from high-resolution multi-slice chest CT images from 44 patients; the validity of our method was proved by preliminary experimental results.
Year
DOI
Venue
2006
10.1016/j.compmedimag.2006.06.002
Computerized Medical Imaging and Graphics
Keywords
DocType
Volume
Multi-slice CT image,Three-dimensional image processing,Image segmentation,Lung-structure recognition
Journal
30
Issue
ISSN
Citations 
5
0895-6111
32
PageRank 
References 
Authors
1.66
10
7
Name
Order
Citations
PageRank
Xiangrong Zhou132545.53
Tatsuro Hayashi2629.01
Takeshi Hara363979.10
Hiroshi Fujita4321.66
Ryujiro Yokoyama512318.40
Takuji Kiryu6414.55
Hiroaki Hoshi710618.21