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Publikācija: Medical Image Region Extraction and 3D Modeling Based on Approximating Curves

Publication Type Scientific article indexed in SCOPUS or WOS database
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Medical Image Region Extraction and 3D Modeling Based on Approximating Curves
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Research platform None
Authors Katrina Boločko
Aleksandrs Sisojevs
Aleksandrs Glazs
Ardis Platkājs
Keywords 3D modeling, medical images, region extraction, visualization
Abstract This work describes several methods that intend to solve such medical image processing tasks as extraction and 3D visualization of the region of interest (ROI). The proposed methods were tested on the medical images of a brain acquired by computer tomography and proven to be applicable to different types of ROI, resulting in a possible visualization of several ROI at once, i.e. pathology and the head of a patient. The results can be used to provide practical improvements to the reliability of medical diagnostics.
DOI: 10.4028/www.scientific.net/AMR.222.285
Hyperlink: https://www.scientific.net/AMR.222.285 
Reference Boločko, K., Sisojevs, A., Glazs, A., Platkājs, A. Medical Image Region Extraction and 3D Modeling Based on Approximating Curves. Advanced Materials Research, 2010, Vol. 222, pp.285-288. ISSN 1662-8985. Available from: doi:10.4028/www.scientific.net/AMR.222.285
Additional information Citation count:
ID 11708