The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Transactions ID Number: 32-235
Full Name: JAYPRAKASH AGRAWAL
Position: Assistant Professor
Age: ON
Sex: Male
Address: GLOBAL INSTITUTE OF TECHNOLOGY,ITS-1,IT PARK,EPIP,JAIPUR
Country: INDIA
Tel: +91 9414248951
Tel prefix:
Fax: +91 141 2335266
E-mail address: jay5644@rediffmil.com
Other E-mails: jay5644@gmail.com
Title of the Paper: wavelet compression of CT mdical images
Authors as they appear in the Paper: J Agrawal, R Vijay
Email addresses of all the authors: jay5644@rediffmail.com,rituvijay1975@yahoo.co.in
Number of paper pages: 10
Abstract: The increasing need for efficient image storage and transmission in hospitals imposes heavy requirements on the design of picture archiving and communication systems. Thus new methods are needed for efficient image compression. Recent reviews of wavelets in biomedical applications showed that wavelets should be used with caution and that a particular solution should always be motivated by the problem itself. This study discovers the best design parameters for a data compression scheme applied to medical images of different imaging modalities. The proposed technique aims at reducing the transmission cost while preserving the diagnostic integrity. Experimental results show that the selection of the best parameters has a dramatic effect on the data compression rate of medical images. Statistical significance tests were performed on the experimental measures to conduct the most suitable wavelet shape for each imaging modality. Image quality measures are used to evaluat!
e the performance of different wavelet filters for different imaging modalities. Image resolution is found to have a remarkable effect on the compression rate. In this paper we will show that modified simple but efficient calculation scheme foe all wavelet transformation in image compression.
Keywords: Wavelet image compression, Medical images, CT
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