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

Stoitsis, J; Golemati, S; Nikita, KS; Nicolaides, AN

dc.contributor.author	Stoitsis, J	en
dc.contributor.author	Golemati, S	en
dc.contributor.author	Nikita, KS	en
dc.contributor.author	Nicolaides, AN	en
dc.date.accessioned	2014-03-01T02:42:24Z
dc.date.available	2014-03-01T02:42:24Z
dc.date.issued	2004	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30990
dc.subject	Computer-aided diagnosis	en
dc.subject	Medical image analysis	en
dc.subject	Motion-estimation	en
dc.subject	Texture-analysis	en
dc.subject	Vascular ultrasound	en
dc.subject.other	Computer software	en
dc.subject.other	Diagnosis	en
dc.subject.other	Diseases	en
dc.subject.other	Image analysis	en
dc.subject.other	Magnetic resonance imaging	en
dc.subject.other	Motion estimation	en
dc.subject.other	Neural networks	en
dc.subject.other	Ultrasonics	en
dc.subject.other	User interfaces	en
dc.subject.other	Computer-aided diagnosis	en
dc.subject.other	Medical image analysis	en
dc.subject.other	Texture-analysis	en
dc.subject.other	Vascular ultrasound	en
dc.subject.other	Medical imaging	en
dc.title	A modular software system to assist interpretation of medical images - Application to vascular ultrasound images	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/IST.2004.1397300	en
heal.identifier.secondary	http://dx.doi.org/10.1109/IST.2004.1397300	en
heal.publicationDate	2004	en
heal.abstract	ANALYSIS, a modular software system that can assist interpretation of medical images, is presented in this paper. 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 pre-processing, 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 will prove the possibility of the system to be used in clinical practice.	en
heal.journalName	2004 IEEE International Workshop on Imaging Systems and Techniques, IST	en
dc.identifier.doi	10.1109/IST.2004.1397300	en
dc.identifier.spage	135	en
dc.identifier.epage	140	en