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Fast JPEG 2000 decoder and its use in medical imaging.
- Source :
-
IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society [IEEE Trans Inf Technol Biomed] 2003 Sep; Vol. 7 (3), pp. 184-90. - Publication Year :
- 2003
-
Abstract
- Over the last decade, a picture archiving and communications system (PACS) has been accepted by an increasing number of clinical organizations. Today, PACS is considered as an essential image management and productivity enhancement tool. Image compression could further increase the attractiveness of PACS by reducing the time and cost in image transmission and storage as long as 1) image quality is not degraded and 2) compression and decompression can be done fast and inexpensively. Compared to JPEG, JPEG 2000 is a new image compression standard that has been designed to provide improved image quality at the expense of increased computation. Typically, the decompression time has a direct impact on the overall response time taken to display images after they are requested by the radiologist or referring clinician. In this paper, we present a fast JPEG 2000 decoder running on a low-cost programmable processor. It can decode a losslessly compressed 2048 x 2048 CR image in 1.51 s. Using this kind of a decoder, performing JPEG 2000 decompression at the PACS display workstation right before images are displayed becomes viable. A response time of 2 s can be met with an effective transmission throughput between the central short-term archive and the workstation of 4.48 Mb/s in case of CT studies and 20.2 Mb/s for CR studies. We have found that JPEG 2000 decompression at the workstation is advantageous in that the desired response time can be obtained with slower communication channels compared to transmission of uncompressed images.
- Subjects :
- Hospital Information Systems standards
Humans
Information Storage and Retrieval standards
Quality Control
Algorithms
Hypermedia
Image Enhancement methods
Image Interpretation, Computer-Assisted methods
Information Storage and Retrieval methods
Radiology Information Systems
Signal Processing, Computer-Assisted
Subjects
Details
- Language :
- English
- ISSN :
- 1089-7771
- Volume :
- 7
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society
- Publication Type :
- Academic Journal
- Accession number :
- 14518731
- Full Text :
- https://doi.org/10.1109/titb.2003.813789