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Proceedings Paper

Development of effective compression for CT series
Author(s): Jaehoon Lee; Hee-Joung Kim; Hyung-Sik Yoo
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Paper Abstract

The transmission and storage became a major dilemma due to the large size of medical imaging data. Clinical CT scanners typically generate sequential data in each patient. Because there are great correlations between continuous slices in these data, we could investigate a significant breakthrough in data compression applying motion estimation and compensation. With motion vector and motion compensated frame difference, we propose a new approach to encode a compressed sequential stream into DICOM image data structure and it may also be possible to efficiently redesign a multiframe header approach, which could improve compression ratios due to the avoidance of duplicative header information of each DICOM file in the same patient. Motion estimation could be retrieved by block matching approaches on 8x8 blocks of image information. For each 8x8 block, a single motion vector was found by minimizing the mean-square error. The compensation of the estimated motion was presented to smooth out the artifacts along block boundaries. In result, we were able to show the higher compression ratios relative to the output file size and effectively transfer a series of CT images at lower bit rates.

Paper Details

Date Published: 19 May 2003
PDF: 8 pages
Proc. SPIE 5033, Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation, (19 May 2003); doi: 10.1117/12.480657
Show Author Affiliations
Jaehoon Lee, Yonsei Univ. College of Medicine (South Korea)
Hee-Joung Kim, Yonsei Univ. College of Medicine (South Korea)
Hyung-Sik Yoo, Yonsei Univ. College of Medicine (South Korea)

Published in SPIE Proceedings Vol. 5033:
Medical Imaging 2003: PACS and Integrated Medical Information Systems: Design and Evaluation
H. K. Huang; Osman M. Ratib, Editor(s)

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