Title
Computer-aided diagnosis algorithm for lung cancer using retrospective CT images
Abstract
This paper presents a method for detecting suspicious nodules based on successive low-dose helical CT images. The method uses both initial and follow-up images to improve nodule detection performance. The basic idea of the detection is to register nodule images measured at different time and to assess the changes in size, shape, and density of the nodule. Since there are several variations of nodule changes, such as stable, shrinking, expansion in size, disappearance, appearance,, and separation, a coarse-to-fine registration technique was adopted to deal with large nodule deformation. Especially, the fine registration is performed by excluding nodule regions and using nodule surroundings to avoid effects of nodule deformations in alignment task. In a preliminary experiment, the method was applied to ten cases with successive scans. From visual inspection, the corresponding results between initial and follow-up images were acceptable in clinical use. More researches using a large data set will be required. Still, we believe that the method has the potential of detecting suspicious nodules for use in a computer-aide diagnosis system.
Year
DOI
Venue
2005
10.1117/12.595591
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
low-dose helical CT images,screening,lung cancer,computer-aide diagnosis system coarse-to-fine corresponding technique,follow-up
Lung cancer,Computer vision,Visual inspection,Computer-aided diagnosis,Artificial intelligence,Medical diagnostics,Engineering,Computing systems
Conference
Volume
ISSN
Citations 
5747
0277-786X
0
PageRank 
References 
Authors
0.34
0
12
Name
Order
Citations
PageRank
hironori nakashima100.34
takuya yamamoto231.21
Mitsuru Kubo38922.51
Yoshiki Kawata419254.44
Noboru Niki518866.10
Hironobu Ohmatsu613845.23
Kenji Eguchi712942.78
hiroyuki nishiyama84611.62
Masahiro Kaneko95519.24
masahiko kusumoto104616.28
Ryutaro Kakinuma119724.90
Noriyuki Moriyama1214850.47