Hardware Implementation of High Speed CODEC for PACS

PACS를 위한 고속 CODEC의 하드웨어 구현

  • 유선국 (순천향대학교 공과대학 전기공학과) ;
  • 박성욱 (연세대학교 공과대학 전자공학과, 의과대학 신경외과, 의과대학 의용공학과)
  • Published : 1994.12.01

Abstract

For the effective management of medical images, it becomes popular to use computing machines in medical practice, namely PACS. However, the amount of image data is so large that there is a lack of storage space. We usually use data compression techniques to save storage, but the process speed of machines is not fast enough to meet surgical requirement. So a special hardware system processing medical images faster is more important than ever. To meet the demand for high speed image processing, especially image compression and decompression, we designed and implemented the medical image CODEC (COder/DECoder) based on MISD (Multiple Instruction Single Data stream) architecture to adopt parallelism in it. Considering not being a standard scheme of medical image compression/decompression, the CODEC is designed programable and general. In this paper, we use JPEG (Joint Photographic Experts Group) algorithm to process images and evalutate the CODEC.

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References

  1. ADSP-2111 Family user's manual
  2. Com. Med. Imaging Graphics v.18 no.2 From multimodality digital imaging to Multimedia patient record Osmann Ratib
  3. Med. & Biol. Eng. & Comput. Micro PACS: a PC-based small PACS implementation Duchene J.F. Lerallut;N.Gong;R.Kauz
  4. Com. Med. Imaging Graphics v.18 no.2 Digital Image Management and Communication In Medicine Osmann Tatib;Yves Ligier;Jean Raoul Scherrer
  5. IEEE trans. Med. Imaging v.9 no.3 Evaluation of ACR-NEMA Standard for communications in digital Radiology Kevin M. McNeill;Masakazu Osada
  6. Com. Med. Imaging Graphics Radiological image compression using full-frame jcosine transform with adaptive bit-allocation Chan,K.K.;Lou,S.L.;Huang,H.K.
  7. ISO/IEC JTC1 Draft International Standard 10918-1 Digital compression and coding of continuous tone still images, part 1, requirements and guidelines
  8. ICASSP '89 Practical fast 1-D DCT algorithms with 11 multiplications Christoph Loeffler;Adriaan Ligtenberg;George S. Moschytz
  9. Multiple processing A. John Anderson
  10. IEEE trans. consumer electronics v.39 no.1 Multiprocessor DSP architectures that implement the FCT based JPEG still picture compression algorithm with arithmetic coding Srinath V. Ramaswamy;Gerald D. Miller