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High-performance wavelet compression for enterprise PACS
International Congress Series 1230 (2001) 1281 – 1282
High-performance wavelet compression for enterprise PACS Hideya Takeoa,* , Kazuo Shimuraa, Kazuhiro Hishinumaa, Kaushal Shastrib a
Fuji Photo Film Co., Ltd, Miyanodai Technology Development Ctr, 798 Miyanodai, Kaisei-machi, Ashigarakami-gun, Kanagawa, 258-8538, Japan b FUJIFILM Medical Systems, USA
1. Introduction Utilizing the medical network is wide and diverse from primary diagnosis using highresolution images, referring for explanation to patients, direct patient care in ER or ICU, or teleradiology by remote access. One of the key technologies for the solution is the data compression of images. In this paper we would like to present a new Wavelet compression technology with high image quality and high-speed decoding capability and its implementation on SYNAPSE1, web-based PACS system from FUJIFILM, allowing multiple versions of compressed images for different clinical scenario.
2. Methods This new Wavelet compression is utilizing the combination of high-efficiency quantization and high-speed entropy coding technology. We used Trellis Search technology called Trellis Coded Quantization (TCQ) [1] to achieve high efficiency. TCQ uses Multiple quantizers, and selects the optimum path of quantizers following the Trellis-path, which gives the minimum accumulated quantized error. Arithmetic coding is a wellknown Entropy coding method. Arithmetic coding provides ideal level of high compression efficiency but its processing time is extremely long. We developed a new entropy
*
Corresponding author. Tel.: +81-465-85-2020; fax: +81-465-85-2085. E-mail address: [email protected] (H. Takeo).
0531-5131/01/$ – see front matter D 2001 Elsevier Science B.V. All rights reserved. PII: S 0 5 3 1 - 5 1 3 1 ( 0 1 ) 0 0 2 4 6 - 1
1282
H. Takeo et al. / International Congress Series 1230 (2001) 1281–1282
coding method by applying Run-Length coding using Golomb –Rice method [2] to multivalued data. As a result, the coding efficiency of this new method will be approximately 95% of Arithmetic coding and the processing time is reduced to 1/6.
3. Conclusion The images of CR, CT and MR were compressed and visually evaluated by doctors for historical reference use at the primarily diagnosis. The maximum compression ratio that was acceptable as the historical reference images at the primarily diagnosis, was 50:1 for CR and 10:1 for CT and MR. This new Wavelet compression technology can provide different compressed images depending on the application in daily healthcare environment.
References [1] N.W. Marcellin, T.R. Fischer, IEEE Trans. Commun. 38 (1) (1990) 82 – 93 (Jan). [2] S.W. Golomb, IEEE Trans. Inf. Theory 12 (1966) 399 – 401 (July).
High-performance wavelet compression for enterprise PACS Hideya Takeoa,* , Kazuo Shimuraa, Kazuhiro Hishinumaa, Kaushal Shastrib a
Fuji Photo Film Co., Ltd, Miyanodai Technology Development Ctr, 798 Miyanodai, Kaisei-machi, Ashigarakami-gun, Kanagawa, 258-8538, Japan b FUJIFILM Medical Systems, USA
1. Introduction Utilizing the medical network is wide and diverse from primary diagnosis using highresolution images, referring for explanation to patients, direct patient care in ER or ICU, or teleradiology by remote access. One of the key technologies for the solution is the data compression of images. In this paper we would like to present a new Wavelet compression technology with high image quality and high-speed decoding capability and its implementation on SYNAPSE1, web-based PACS system from FUJIFILM, allowing multiple versions of compressed images for different clinical scenario.
2. Methods This new Wavelet compression is utilizing the combination of high-efficiency quantization and high-speed entropy coding technology. We used Trellis Search technology called Trellis Coded Quantization (TCQ) [1] to achieve high efficiency. TCQ uses Multiple quantizers, and selects the optimum path of quantizers following the Trellis-path, which gives the minimum accumulated quantized error. Arithmetic coding is a wellknown Entropy coding method. Arithmetic coding provides ideal level of high compression efficiency but its processing time is extremely long. We developed a new entropy
*
Corresponding author. Tel.: +81-465-85-2020; fax: +81-465-85-2085. E-mail address: [email protected] (H. Takeo).
0531-5131/01/$ – see front matter D 2001 Elsevier Science B.V. All rights reserved. PII: S 0 5 3 1 - 5 1 3 1 ( 0 1 ) 0 0 2 4 6 - 1
1282
H. Takeo et al. / International Congress Series 1230 (2001) 1281–1282
coding method by applying Run-Length coding using Golomb –Rice method [2] to multivalued data. As a result, the coding efficiency of this new method will be approximately 95% of Arithmetic coding and the processing time is reduced to 1/6.
3. Conclusion The images of CR, CT and MR were compressed and visually evaluated by doctors for historical reference use at the primarily diagnosis. The maximum compression ratio that was acceptable as the historical reference images at the primarily diagnosis, was 50:1 for CR and 10:1 for CT and MR. This new Wavelet compression technology can provide different compressed images depending on the application in daily healthcare environment.
References [1] N.W. Marcellin, T.R. Fischer, IEEE Trans. Commun. 38 (1) (1990) 82 – 93 (Jan). [2] S.W. Golomb, IEEE Trans. Inf. Theory 12 (1966) 399 – 401 (July).