Title :
Intelligent compression of medical images with texture information
Author_Institution :
Easwari Eng. Coll., Anna Univ., Chennai, India
Abstract :
Technology in medical imaging is so rapidly advancing that the pressure to keep up pace in all the allied technology is tremendous. There has been an increase in the number of medical images captured, an increase in the demand for the benefit from the diagnosis of the new images and an increase in the number of methodologies that can transmit medical information from the images correctly. DICOM has been keeping pace with the standardization in representation of any medical image. This paper focuses work on DICOM for overall applicability. From the above it is evident that three issues are of vital importance when it comes to keeping up pace with the rapidly improving medical imaging technology. This paper strives to do justice to the three, namely: memory requirement, bandwidth constraint and battery resource constraint without compromising on the quality of the medical image as it could be extremely detrimental to precise and perfect diagnosis. While taking up each issue the keynote ideas will be detailed.
Keywords :
data compression; image coding; image texture; medical image processing; bandwidth constraint; battery resource constraint; medical image intelligent compression; medical imaging technology; texture information; Batteries; Biomedical imaging; Communication standards; DICOM; Image coding; Image edge detection; Image reconstruction; Medical diagnostic imaging; Medical services; Telemedicine; Adaptive SPIHT; DICOM; ROI; texture;
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
DOI :
10.1109/ICCAE.2010.5451753