DocumentCode
3061025
Title
Coronary angiogram video compression adapted to medical imaging applications
Author
Zaid, Azza Ouled ; Abdessalem, Salem ; Mourali, Mohamed Sami ; Farhati, Abdeljalil ; Bouallègue, Ammar ; Mechmeche, Rachid ; Olivier, Christian
Author_Institution
SysCom Laboratory, National Engineering School of Tunis, Tunisia
fYear
2008
fDate
20-25 Aug. 2008
Firstpage
410
Lastpage
413
Abstract
H.264/AVC coder has proven to use the most advanced video compression, but, at the cost of high computational complexity. On the other hand, analysis of coronary x-ray images reveals large areas containing no diagnostically important information. In this paper, we propose to exploit the energy characteristics in slice equal size regions to determine the active zones in coronary x-ray sequences to be encoded as normal using the H.264 coding system. The other regions, are compressed using conventional low complex approaches. Experimental results have shown that this procedure reduces the coder computing time of about 20% while attaining the same compression performance. A clinical subjective assessment by three expert physicians in interventional cardiology leads to a compression ratio of about 30:1 which insures both a diagnosis adequacy and a sufficient compression in regards to storage and transmission requirements.
Keywords
Automatic voltage control; Biomedical imaging; Cardiology; Computational complexity; Computational efficiency; Image analysis; Image coding; Information analysis; Video compression; X-ray imaging; Algorithms; Coronary Angiography; Data Compression; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Video Recording;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location
Vancouver, BC
ISSN
1557-170X
Print_ISBN
978-1-4244-1814-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2008.4649177
Filename
4649177
Link To Document