Paper Info
Title
Automated extraction of lung cancer lesions from multislice chest CT images by using three-dimensional image processing
Abstract
This paper discusses the test for the automatic extraction of lung cancer candidate areas from the high-resolution continuous chest CT image taken with the slice interval of 1 mm, by a three-dimensional image processing technique. The detection of local suspicious regions (SR) is considered. A procedure is developed which discriminates the lung area from other images (mostly vessels) based on the differences of three-dimensional shapes. The actual procedure in the processing is composed largely of two steps: (1) segmentation of lung area; and (2) SR extraction. In this study, the processing is realized by a relatively simple procedure, combining such basic processes as thresholding, fusion of three-dimensional figures (or three-dimensional distance transformation) and the three-dimensional skeletonization. The usefulness of the method is demonstrated using an actual case of lung cancer. The study is significant as the first test that demonstrated the usefulness of the three-dimensional image processing, using the three-dimensional CT image of a practically sufficient accuracy.
Year
DOI
Venue
1994
10.1002/scj.4690251107
SYSTEMS AND COMPUTERS IN JAPAN
Keywords
Field
DocType
3-DIMENSIONAL IMAGE PROCESSING,MULTISLICE CHEST CT IMAGE,LUNG CANCER LESION,COMPUTER-AIDED DIAGNOSIS
Lung cancer,Computer vision,Segmentation,Computer science,Computer-aided diagnosis,Multislice,Image processing,Tomography,Skeletonization,Artificial intelligence,Thresholding
Journal
Volume
Issue
ISSN
25
11
0882-1666
Citations 
PageRank 
References 
11
9.04
0
Authors
5
Name
Order
Citations
PageRank
Jun-ichi Hasegawa122161.17
Kensaku Mori21125160.28
Jun-ichiro Toriwaki3578136.04
Hirofumi Anno43919.03
Kazuhiro Katada54620.43