Effect of JPEG compression on 24-bit color images: impact of compression on quantitative measures of velocity and flow rate in a flow convergence model

Author

Chandra, Shalabh ; Karson, Tom H. ; Vandervoort, Pieter M. ; Pu, Min ; Thomas, James D.

Author_Institution

Cleveland Clinic Found., OH, USA

fYear

1994

fDate

25-28 Sept. 1994

Firstpage

257

Lastpage

260

Abstract

It has been previously demonstrated, using objective and subjective analyses, that grayscale echocardiographic images with 95% JPEG compression show no significant loss in diagnostic or image quality. Here, the authors investigate how the quantitative measurements of velocity and flow rate are affected when 24-bit color Doppler images are compressed using JPEG. Adobe Photoshop was used to compress a set of images to 5 levels ranging from 7:1 to 65:1 using JPEG algorithm. The images were analyzed using Khoros (public domain image processing software) and customized C programs. The results show that even at a compression ratio of 65:1, the correlation of velocities in the region of interest is as high as 0.943.<>

Keywords

Doppler measurement; blood flow measurement; data compression; echocardiography; medical image processing; 24-bit color images; Adobe Photoshop; JPEG compression effect; Khoros; customized C programs; diagnostic quality; flow convergence model; flow rate; grayscale echocardiographic images; image quality; quantitative velocity measures; region of interest; Digital images; Fluid flow measurement; Gray-scale; Image analysis; Image coding; Image color analysis; Image storage; Loss measurement; Transform coding; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Computers in Cardiology 1994

Conference_Location

Bethesda, MD, USA

Print_ISBN

0-8186-6570-X

Type

conf

DOI

10.1109/CIC.1994.470201

Filename

470201