Nonlinear filtering and fast ray tracing of 3D image data. Improving visualization in medical imaging

Author

Bajla, I. ; Srámek, Milos

Author_Institution

Inst. of Meas. Sci., Slovak Acad. of Sci., Bratislava, Slovakia

Volume

17

Issue

2

fYear

1998

Firstpage

73

Lastpage

80

Abstract

This article deals with the problem of nonlinear filtering of magnetic resonance (MR) tomograms based on geometry-driven diffusion and speeding up the visualization of volumetric data by ray tracing. The authors present the basic motivation of this research, which was recently carried out in the Institute of Measurement Science. Locally adaptive diffusion conductivity, effective iteration stopping criterion, and fast ray tracing algorithms are discussed. Also, the results of computer experiments are described and the improvement of 3-D visualization is demonstrated

Keywords

biomedical NMR; medical image processing; 3D image data; Institute of Measurement Science; MRI; computer experiments; effective iteration stopping criterion; fast ray tracing; fast ray tracing algorithms; geometry-driven diffusion; locally adaptive diffusion conductivity; magnetic resonance tomograms; medical diagnostic imaging; medical imaging visualization improvement; nonlinear filtering; volumetric data visualization speeding up; Biomedical imaging; Data visualization; Filtering; Magnetic resonance imaging; Magnetic separation; Medical diagnostic imaging; Medical treatment; Ray tracing; Rendering (computer graphics); Sequences;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/51.664034

Filename

664034