Effects of Lossy Image Compression on Medical Image Registration Accuracy

Monagi H. Alkinani; IEEE

doi:10.1109/ICCE50685.2021.9427749

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Effects of Lossy Image Compression on Medical Image Registration Accuracy

Conference proceeding

Peer reviewed

Effects of Lossy Image Compression on Medical Image Registration Accuracy

Monagi H. Alkinani and IEEE

2021 IEEE International Conference on Consumer Electronics (ICCE), Vol.2021-, pp.1-4

10/01/2021

DOI: https://doi.org/10.1109/ICCE50685.2021.9427749

Abstract

Conferences

Image coding

Image registration

Images Subsampling

Lossy Image Compression

Mean square error methods

Measurement

Medical Imaging

Three-dimensional displays

Transforms

Lossy Image compression has been effective in reducing medical image size, but it affects registration accuracy. In this study, the effects of lossy compression on 2D and 3D medical image registration accuracy is investigated via Target Registration Error (TRE). Mean Square Error (MSE) and Mutual Information (MS) were considered as similarity image metrics for Rigid 3D transform Registration. Results has indicated that MS performs well at lossless compression, but it did not perform as well on lossy compression.

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Details

Title: Effects of Lossy Image Compression on Medical Image Registration Accuracy
Creators - without role: Monagi H. Alkinani - Jeddah University
IEEE
Publication Details: 2021 IEEE International Conference on Consumer Electronics (ICCE), Vol.2021-, pp.1-4
Publisher: IEEE
Identifiers: 9933271908331
Academic Unit: University of Jeddah
Language: English
Resource Type: Conference proceeding