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Proceedings Paper

Block-based wavelet transform coding of mammograms with region-adaptive quantization
Author(s): Nam Su Moon; Jun Seok Song; Musik Kwon; JongHyo Kim; ChoongWoong Lee
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Paper Abstract

To achieve both high compression ratio and information preserving, it is an efficient way to combine segmentation and lossy compression scheme. Microcalcification in mammogram is one of the most significant sign of early stage of breast cancer. Therefore in coding, detection and segmentation of microcalcification enable us to preserve it well by allocating more bits to it than to other regions. Segmentation of microcalcification is performed both in spatial domain and in wavelet transform domain. Peak error controllable quantization step, which is off-line designed, is suitable for medical image compression. For region-adaptive quantization, block- based wavelet transform coding is adopted and different peak- error-constrained quantizers are applied to blocks according to the segmentation result. In view of preservation of microcalcification, the proposed coding scheme shows better performance than JPEG.

Paper Details

Date Published: 26 June 1998
PDF: 7 pages
Proc. SPIE 3335, Medical Imaging 1998: Image Display, (26 June 1998); doi: 10.1117/12.312533
Show Author Affiliations
Nam Su Moon, Seoul National Univ. (South Korea)
Jun Seok Song, Seoul National Univ. (South Korea)
Musik Kwon, Seoul National Univ. (South Korea)
JongHyo Kim, School of Medicine/Seoul National Univ. (United States)
ChoongWoong Lee, Seoul National Univ. (South Korea)


Published in SPIE Proceedings Vol. 3335:
Medical Imaging 1998: Image Display
Yongmin Kim; Seong Ki Mun, Editor(s)

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