Objective image quality measures for evaluating advanced MRI reconstruction methods

Author

Mathews, T., Jr. ; Smith, M.R.

Author_Institution

Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada

Volume

1

fYear

1996

fDate

26-29 May 1996

Firstpage

359

Abstract

We propose some new objective image quality measures for use with magnetic resonance images. These measures are based on the visual differences predictor (VDP) due to Daly (1992,1993). The VDP is a computer program that implements a complex model of the human visual system, and generates a map indicating the probability of the visual system perceiving a difference between two images on a pixel by pixel basis. A brief overview of the VDP algorithm is given, and the image quality measures we have developed based on the VDP are then described. The preliminary validation methods used to evaluate these image quality measures are then given. The results of these preliminary investigations indicate that these measures are promising as useful indicators of perceived image quality

Keywords

biomedical NMR; image reconstruction; medical image processing; visual perception; VDP algorithm; advanced MRI reconstruction methods; complex model; computer program; difference perception; human visual system; magnetic resonance images; map; objective image quality measures; perceived image quality; pixel by pixel basis; visual differences predictor; visual system; Autoregressive processes; Biological tissues; Frequency; Humans; Image quality; Magnetic resonance imaging; Pixel; Reconstruction algorithms; Tomography; Visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical and Computer Engineering, 1996. Canadian Conference on

Conference_Location

Calgary, Alta.

ISSN

0840-7789

Print_ISBN

0-7803-3143-5

Type

conf

DOI

10.1109/CCECE.1996.548111

Filename

548111