Evaluation of wavelet compression algorithm on computed tomography (CT) images

Citation

Salfor, Amhamed and Ramli, Abdul Rahman and Ng, Kwan Hoong and Abd Ghani, Abdul Azim and Prakash, Veeraraghavan (2001) Evaluation of wavelet compression algorithm on computed tomography (CT) images. In: Persidangan Kebangsaan Penyelidikan & Pembangunan IPTA 2001, 25-26 Okt. 2001, Universiti Kebangsaan Malaysia, Bangi, Selangor. (pp. 871-877).

Abstract

There is a great need for efficient image compression in medical imaging for archiving and transmission without any significant loss of diagnostic information. Wavelet compression was applied to compress and decompress various sets of computed tomography (CT) images, namely brain, chest, and abdomen; the size of each image is 512x512x8 bit. Currently there is no standard set of criteria for the clinical acceptability of compression ratio. Thus we have calculated the mean square error (MSE), signal to noise ratio (SNR), and peak signal to noise ratio (PSNR) as a form of criteria to determine the 'acceptability' of image compression. The Wavelet Compression Engine (standard edition 2.5) was used in this study. The degree of compression is dependent on the anatomical structure and the complexity of the CT images.

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Additional Metadata

Item Type:	Conference or Workshop Item (Paper)
Subject:	Tomography - Wavelets (Mathematics)
Subject:	Anatomy - Variation
Subject:	Tomography, X-Ray Computed
Divisions:	Faculty of Computer Science and Information Technology
Keywords:	Wavelet compression algorithm; Computed Tomography(CT) images; Medical image
Depositing User:	Samsida Samsudin
Date Deposited:	06 Jun 2013 01:13
Last Modified:	02 Nov 2016 03:47
URI:	http://psasir.upm.edu.my/id/eprint/20834
Statistic Details:	View Download Statistic

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