Measurement accuracy as a measure of image quality in compressed MR chest scans

Author

Perlmutter, Sharon M. ; Tseng, Chien-Wen ; Cosman, Pamela C. ; Li, King C P ; Olshen, Richard A. ; Gray, Robert M.

Author_Institution

Inf. Syst. Lab., Stanford Univ., CA, USA

Volume

1

fYear

1994

fDate

13-16 Nov 1994

Firstpage

861

Abstract

We investigated the effects of lossy image compression on measurement accuracy in magnetic resonance images. Thirty chest scans were compressed to five different levels using predictive pruned tree-structured vector quantization (predictive PTSVQ). Three radiologists measured the diameters of the four principal blood vessels on each image. Errors were analyzed relative to both an independent standard and personal performance on uncompressed images. Data were compared with both t and Wilcoxon tests. We conclude that for the purpose of measuring blood vessels in the chest, there is no significant difference in measurement accuracy when images are compressed up to 16:1 with predictive PTSVQ

Keywords

biomedical NMR; biomedical measurement; diameter measurement; image coding; medical image processing; prediction theory; vector quantisation; Wilcoxon tests; blood vessels diameter measurement; blood vessels measurement; compressed MR chest scans; error analysis; image quality measurement; lossy image compression; magnetic resonance images; measurement accuracy; predictive PTSVQ; predictive pruned tree-structured vector quantization; t tests; uncompressed images; Biomedical imaging; Blood vessels; Error analysis; Image analysis; Image coding; Image quality; Loss measurement; Magnetic analysis; Magnetic resonance; Vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference

Conference_Location

Austin, TX

Print_ISBN

0-8186-6952-7

Type

conf

DOI

10.1109/ICIP.1994.413437

Filename

413437