Cart (Loading....) | Create Account
Close category search window
 

A modular software system to assist interpretation of medical images application to vascular ultrasound images

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
$31 $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

4 Author(s)
Stoitsis, J. ; Sch. of Electr. Comput. Eng., Nat. Tech. Univ. of Athens, Greece ; Golemati, S. ; Nikita, K.S. ; Nicolaides, A.N.

ANALYSIS, a modular software system that can assist interpretation of medical images, is presented in This work. ANALYSIS was designed to meet the needs of the general medical image analysis procedure and can be used for the pre-processing and analysis of medical images of various modalities and formats, in an attempt to assist diagnosis. The system includes two main modules for texture and motion analysis of selected regions of interest (ROIs). Motion can be estimated using region tracking and block matching. Texture features can be estimated using first order statistics, second order statistics, laws texture energy, and fractal dimension. Moreover, ANALYSIS includes modules for image preprocessing, statistical analysis, classification and clustering using fuzzy c-means. It provides a friendly user interface, control fields, tool buttons and menus. The system was used to assist diagnosis of carotid atherosclerosis from B-mode ultrasound images. Motion and texture characteristics where estimated for 10 symptomatic and 9 asymptomatic subjects. After dimensionality reduction of the extracted texture features, 23 features were considered most significant. The estimation of motion vectors on the luminal surface of the plaque can identify patterns of inherent plaque motion, which may be responsible for clinical symptoms. ANALYSIS can assist interpretation of medical images through lesion detection, characterization and assessment. Further studies for different medical diagnostic tasks using different imaging modalities proves the possibility of the system to be used in clinical practice.

Published in:

Imaging Systems and Techniques, 2004. (IST). 2004 IEEE International Workshop on

Date of Conference:

14 May 2004

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.