Notification:
We are currently experiencing intermittent issues impacting performance. We apologize for the inconvenience.
By Topic

Medical Images Adaptive Compression With Statistical Model for Transmission and Archiving; Application to MRI modality

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kanoun, O. ; Res. Unit: Sci. & Technol. of Image & Telecommun., Higher Inst. of Biotechnol., Sfax ; Bouhlel, M.S. ; Mezghani, S.

Image compression with loss presents a major interest or profit for archiving and image transmission. Many methods are used in this field. The most useful is based on the discrete cosine transform DCT. It then, represents the core of the JPEG's norm on the compression of fixed images. Medical structures involve an important volume of administrative and medical information where imagery could be very highlighted. But the quantity of information represented by images causes serious problems. Our task deals with algorithmic aspects looking for compression technique adapted to different modalities of medical imagery and on the validity of images. A statistical study has been extensively done so as to determine the laws which follow the coefficients resulting from DCT. The results which are already obtained is used to work with during or when compressing. The validity of diagnostic quality of medical images is largely based on an assessment made by a group of medical experts. We finally come to observe that the diagnostic quality of the image is kept. Globally, the results are very encouraging and positive they eventually show that compression is acceptable and largely useful in medical work

Published in:

Information and Communication Technologies, 2006. ICTTA '06. 2nd  (Volume:1 )

Date of Conference:

0-0 0