DocumentCode :
1607804
Title :
Medical images adaptive compression for transmission and archiving. Application to cerebral angiography
Author :
Kanoun, Olfa ; Kachouri, Abdennaseur ; Messaoud, M.B. ; Bouhlel, Mohamed Salim ; Sallemi, Faiçal
Author_Institution :
Electron. & Technol. of Inf. Lab., ENIS, Tunisia
Volume :
3
fYear :
2004
Firstpage :
1694
Abstract :
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 high lighted. But the quantity of information represented by images cause 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 resulted from DCT. Results which are already obtained were used to work with the compression. 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.
Keywords :
data compression; discrete cosine transforms; image coding; medical image processing; statistical analysis; transform coding; cerebral angiography; diagnostic quality; discrete cosine transform; image transmission; medical experts; medical imagery; medical images adaptive compression; statistical study; Angiography; Biomedical imaging; Discrete cosine transforms; Gaussian processes; Image coding; Image storage; Medical diagnostic imaging; Medical tests; Pixel; Transform coding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology, 2004. IEEE ICIT '04. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8662-0
Type :
conf
DOI :
10.1109/ICIT.2004.1490823
Filename :
1490823
Link To Document :
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