Application of Intelligent Processing and 4-D Deformation Modeling to the Detection of Abnormal Motion Patterns

Maglaveras, Nicos/ Dimitriadis, Alexis/ Pappas, Costas/ Stalidis, George/ Μαγκλαβέρας, Νίκος/ Παππάς, Κωνσταντίνος/ Δημητριάδης, Αλέξης/ Σταλίδης, Γιώργος


Institution and School/Department of submitter: ΤΕΙ Θεσσαλονίκης
Keywords: Feedforward Neural Nets;Feature Extraction;Biomechanic;Biomedical MRI;Cardiology;Medical Image Processing;Image Motion Analysis;Physiological Models
Issue Date: 2000
Publisher: IEEE
Citation: IEEE Computers in Cardiology, Boston, 2000
is, Maglaveras, Dimitriadis, Pappas, G. (2000). Application of Intelligent Processing and 4-D Deformation Modeling to the Detection of Abnormal Motion Patterns. Πρακτικά συνεδρίου από -ο IEEE Computers in Cardiology που διεξήχθη σε Boston. Φορέας διεξαγωγής -. -: -.
Abstract: The study of cardiac motion through CINE MRI is an important non-invasive diagnostic tool for cardiac abnormalities. In this paper, a method for automatic detection of abnormal motion patterns is proposed to be used as a computerized diagnostic tool for pathologic cardiac function. A multi-scale modeling method, based on a Generating-Shrinking neural network and a 4-D surface parametric model were used to extract the deformation of the myocardium from multi slice-multi phase MRI examinations. A feature extraction procedure then calculated myocardial thickening and radial deformation of the left ventricle and produced a set of motion parameters from the surface model. Input patterns consisting of the above features were fed into a feedforward neural network, which was trained to capture the normal cardiac function and to distinguish certain pathologic motion patterns
Description: Δημοσιεύσεις μελών--ΣΔΟ--Τμήμα Εμπορίας και Διαφήμισης,2000
URI: http://195.251.240.227/jspui/handle/123456789/4634
ISSN: 0276-6547
Other Identifiers: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=898620
10.1109/CIC.2000.898620
Item type: other
Submission Date: 2018-02-27T18:19:39Z
Item language: el
Item access scheme: free
Institution and School/Department of submitter: ΤΕΙ Θεσσαλονίκης
Appears in Collections:Δημοσιεύσεις σε Περιοδικά

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