Image Processor Using 3D-DWT as Part of Health Care Management System

This paper presents a low power and high speed 3D-DWT (three-dimensional discrete wavelet transform) architecture using stacked silicon dies for image compression of medical images. The interconnections of stacked chips are based on TSV (through silicon via) techniques. Its low power operation is due to short signal paths between layers. The area of 3D architecture is much smaller than that of 2D counterpart having the same performance. Each circuit/system layer can be optimized since it can be fabricated using a different technology. The 3D-DWT architecture consists of two processing elements (PE): a PE-odd (processing elements-odd) and a PE-even (processing elements-even) layer. Each layer processes pixel data derived from rows of the y axis, scanning from left to right side of the image data. Each layer operates in parallel yielding high throughput. The architecture can be used to compress medical image such as X-ray, MRI, NRI, CT and endoscopy by processing images frame by frame.

[1]  Mitsumasa Koyanagi Progress of Three-Dimensional Integration Technology , 2000 .

[2]  Sung Hwan Kim,et al.  Clinical Evaluation of the JPEG2000 Compression Rate of CT and MR Images for Long Term Archiving in PACS. , 2006 .

[3]  P. Ramm,et al.  InterChip via technology for vertical system integration , 2001, Proceedings of the IEEE 2001 International Interconnect Technology Conference (Cat. No.01EX461).

[4]  James D. Meindl Interconnect limits on gigascale integration , 1999, IEEE 8th Topical Meeting on Electrical Performance of Electronic Packaging (Cat. No.99TH8412).

[5]  Danny Crookes,et al.  Area-efficient high-speed 3D DWT processor architecture , 2007 .

[6]  Dunshan Yu,et al.  An Efficient VLSI Implementation of Distributed Architecture for DWT , 2006, 2006 IEEE Workshop on Multimedia Signal Processing.

[7]  Kaustav Banerjee,et al.  Interconnect limits on gigascale integration (GSI) in the 21st century , 2001, Proc. IEEE.

[8]  K. Warner,et al.  Three-dimensional integrated circuits for low-power, high-bandwidth systems on a chip , 2001, 2001 IEEE International Solid-State Circuits Conference. Digest of Technical Papers. ISSCC (Cat. No.01CH37177).

[9]  D. Crookes,et al.  FPGA implementation of 3D discrete wavelet transform for real-time medical imaging , 2007, 2007 18th European Conference on Circuit Theory and Design.

[10]  Christian Olivier,et al.  Performance evaluation of wavelet based coders on brain MRI volumetric medical datasets for storage and wireless transmission , 2007 .

[11]  Mitsumasa Koyanagi,et al.  Future system-on-silicon LSI chips , 1998, IEEE Micro.

[12]  Mitsumasa Koyanagi,et al.  High-Density Through Silicon Vias for 3-D LSIs , 2009, Proceedings of the IEEE.