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Publikācija: Medical Image 3D Visualization by Vector Based Methods

Publication Type Full-text conference paper published in other conference proceedings
Funding for basic activity Unknown
Defending: ,
Publication language English (en)
Title in original language Medical Image 3D Visualization by Vector Based Methods
Field of research 2. Engineering and technology
Sub-field of research 2.2 Electrical engineering, Electronic engineering, Information and communication engineering
Authors Katrina Boločko
Mihails Kovaļovs
Aleksandrs Glazs
Keywords edical images, image analysis, image processing, visualization, modeling.
Abstract This paper describes approaches and methods that are aimed to solve various medical image processing tasks, including extraction of region of interest, the extracted regions contour processing and the following 3D visualization of the extracted region. Two different approaches for control point acquisition and 3D model reconstruction using the points acquired from the region of interest are proposed. The proposed methods of 3D visualization use a vector-based surface model creation rather than raster-based systems to significantly improve computational efficiency and the quality of generated 3D models. 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 region of interest. The results can be used to provide practical improvements to the reliability of medical diagnostics.
Reference Boločko, K., Kovaļovs, M., Glazs, A. Medical Image 3D Visualization by Vector Based Methods. In: Multi Conference on Computer Science and Information Systems, Computer Graphics, Visualization, Computer Vision and Image Processing (IADIS): Proceedings, Italy, Rome, 24-26 July, 2011. Lisbon: IADIS, 2011, pp.271-275.
ID 11709