By Topic

Three-dimensional CT image retrieval in a database of pulmonary nodules

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

10 Author(s)
Y. Kawata ; Dept. of Opt. Sci., Tokushima Univ., Japan ; N. Niki ; H. Ohmatsu ; M. Kusumoto
more authors

This paper aims at obtaining diagnosis and prognosis information by searching similar images into a three-dimensional (3-D) CT image database of pulmonary nodules for which diagnosis is known. For this purpose, we propose an automatic method to retrieve nodule candidates with similar characteristics from the database. Each pulmonary nodule image is represented by the distribution pattern of CT density and 3-D curvature index. The nodule representation is then applied to a similarity measure such as a correlation coefficient. Our database is composed of 248 pulmonary nodules with associated clinical information. For each new case, we sort all the nodules of the database from most to less similar ones. By applying the retrieval method to our database, we present its feasibility to search the similar 3-D nodule images.

Published in:

Image Processing. 2002. Proceedings. 2002 International Conference on  (Volume:3 )

Date of Conference: