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

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dc.contributor.author Stoitsis, J en
dc.contributor.author Golemati, S en
dc.contributor.author Nikita, KS en
dc.date.accessioned 2014-03-01T01:23:26Z
dc.date.available 2014-03-01T01:23:26Z
dc.date.issued 2006 en
dc.identifier.issn 0018-9456 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/16963
dc.subject Computer-aided diagnosis (CAD) en
dc.subject Medical image analysis en
dc.subject Motion estimation en
dc.subject Texture analysis en
dc.subject Ultrasound imaging en
dc.subject Vascular disease en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.classification Instruments & Instrumentation en
dc.subject.other Medical image analysis en
dc.subject.other Modular software system en
dc.subject.other Texture analysis en
dc.subject.other Vascular disease en
dc.subject.other Computer aided diagnosis en
dc.subject.other Computer software en
dc.subject.other Diseases en
dc.subject.other Feature extraction en
dc.subject.other Image analysis en
dc.subject.other Image quality en
dc.subject.other Motion estimation en
dc.subject.other Ultrasonic imaging 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 journalArticle en
heal.identifier.primary 10.1109/TIM.2006.884348 en
heal.identifier.secondary http://dx.doi.org/10.1109/TIM.2006.884348 en
heal.language English en
heal.publicationDate 2006 en
heal.abstract Improvements in medical imaging technology have greatly contributed to early disease detection and diagnosis. However, the accuracy of an examination depends on both the quality of the images and the ability of the physician to interpret those images. Use of output from computerized analysis of an image may facilitate the diagnostic tasks and, potentially improve the overall interpretation of images and the subsequent patient care. In this paper, ANALYSIS, a modular software system designed to assist interpretation of medical images, is described in detail. ANALYSIS allows texture and motion estimation of selected regions of interest (ROIs). Texture features can be estimated using first-order statistics, second-order statistics, Laws' texture energy, neighborhood gray-tone difference matrix, gray level difference statistics, and the fractal dimension. Motion can be estimated from temporal image sequences using block matching or optical flow. Image preprocessing, manual and automatic definition of ROIs, and dimensionality reduction and clustering using fuzzy c-means, are also possible within ANALYSIS. An important feature of ANALYSIS is the possibility for online telecollaboration between health care professionals under a secure framework. To demonstrate the applicability and usefulness of the system in clinical practice, ANALYSIS was applied to B-mode ultrasound images of the carotid artery. Diagnostic tasks included automatic segmentation of the arterial wall in transverse sections, selection of wall and plaque ROIs in longitudinal sections, estimation of texture features in different image areas, motion analysis of tissue ROIs, and clustering of the extracted features. It is concluded that ANALYSIS can provide a useful platform for computerized analysis of medical images and support of diagnosis. © 2006 IEEE. en
heal.publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC en
heal.journalName IEEE Transactions on Instrumentation and Measurement en
dc.identifier.doi 10.1109/TIM.2006.884348 en
dc.identifier.isi ISI:000242948700011 en
dc.identifier.volume 55 en
dc.identifier.issue 6 en
dc.identifier.spage 1944 en
dc.identifier.epage 1952 en


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