Paper Info
Title
A computerized approach for estimating pulmonary nodule growth rates in three-dimensional thoracic CT images based on CT density histogram
Abstract
In research and development of computer-aided differential diagnosis, there is now a widespread interest in the use of nodule doubling time for measuring, the volumetric changes Of pulmonary nodule. To assess nodule status requires not only the measurement of volume changes but also one of nodule density variations. This paper proposes a computerized approach to measure nodule density variation inside small pulmonary nodule using CT images. The approach consists of five steps: (1) nodule segmentation. (2) computation of CT density histogram. (3) nodule classification based on CT density histogram and size, (4) computation of doubling time based on CT density histogram, and (5) classification between benign and malignant. Our approach was applied to follow-up scans of lung nodules. The preliminary experimental result demonstrated that our approach has a highly potential usefulness to assess the nodule evolution using high-resolution CT images.
Year
DOI
Venue
2005
10.1117/12.595099
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
computer-aided diagnosis,pulmonary nodule,3-D thoracic CT images,CT density distribution,nodule growth rate
Nuclear medicine,Histogram,Segmentation,Medical diagnostics,Radiology,Medicine,Computing systems
Conference
Volume
ISSN
Citations 
5747
0277-786X
3
PageRank 
References 
Authors
0.86
0
11
Name
Order
Citations
PageRank
Yoshiki Kawata119254.44
Noboru Niki218866.10
Hironobu Ohmatsu313845.23
masahiko kusumoto44616.28
Ryutaro Kakinuma59724.90
Kiyoshi Mori64710.84
kozo yamada731.20
hiroyuki nishiyama84611.62
Kenji Eguchi912942.78
Masahiro Kaneko105519.24
Noriyuki Moriyama1114850.47