Tag: medical diagnostic imaging
MRI Data Compression Using a 3-D Discrete Wavelet transform
A low-power system that can be used to compress MRI data and for other medical applications is described. The system uses a low power 3-D DWT processor based on a centralized control unit architecture. The simulation results show the efficiency of the wavelet processor. The prototype processor consumes 0.5 W with total delay of 91.65 ns. The processor operates at a maximum frequency of 272 MHz. The prototype processor uses 16-bit adder, 16-bit Booth multiplier, and 1 kB cache with a maximum of 64-bit data bandwidth. Lower power has been achieved by using low-power building blocks and the minimal number of computational units with high throughput.
Published in:
Engineering in Medicine and Biology Magazine, IEEE (Volume:21 , Issue: 4 )
- Page(s):
- 95 – 103
- ISSN :
- 0739-5175
- INSPEC Accession Number:
- 7389345
- DOI:
- 10.1109/MEMB.2002.1032646
- Date of Publication :
- Jul/Aug 2002
- Date of Current Version :
- 07 November 2002
- Issue Date :
- Jul/Aug 2002
- Sponsored by :
- IEEE Engineering in Medicine and Biology Society
- Publisher:
- IEEE
Wael Badawy, Guoqing Zhang, Mike Talley, Michael Weeks and Magdy Bayoumi, “MRI Data Compression Using a 3-D Discrete Wavelet transform,” The IEEE Engineering in Medical and Biology Magazine, Vol. 21, Issue 4, July/August 2002, pp. 95-103.
MRI Data Compression Using a 3-D Discrete Wavelet transform
A low-power system that can be used to compress MRI data and for other medical applications is described. The system uses a low power 3-D DWT processor based on a centralized control unit architecture. The simulation results show the efficiency of the wavelet processor. The prototype processor consumes 0.5 W with total delay of 91.65 ns. The processor operates at a maximum frequency of 272 MHz. The prototype processor uses 16-bit adder, 16-bit Booth multiplier, and 1 kB cache with a maximum of 64-bit data bandwidth. Lower power has been achieved by using low-power building blocks and the minimal number of computational units with high throughput.
Published in:
Engineering in Medicine and Biology Magazine, IEEE (Volume:21 , Issue: 4 )
- Page(s):
- 95 – 103
- ISSN :
- 0739-5175
- INSPEC Accession Number:
- 7389345
- DOI:
- 10.1109/MEMB.2002.1032646
- Date of Publication :
- Jul/Aug 2002
- Date of Current Version :
- 07 November 2002
- Issue Date :
- Jul/Aug 2002
- Sponsored by :
- IEEE Engineering in Medicine and Biology Society
- Publisher:
- IEEE
Wael Badawy, Guoqing Zhang, Mike Talley, Michael Weeks and Magdy Bayoumi, “MRI Data Compression Using a 3-D Discrete Wavelet transform,” The IEEE Engineering in Medical and Biology Magazine, Vol. 21, Issue 4, July/August 2002, pp. 95-103.