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Proceedings Paper

Analysis of blood and bone marrow smears using multispectral imaging analysis techniques
Author(s): Qiongshui Wu; Libo Zeng; Hengyu Ke; Wenjuan Xie; Hong Zheng; Yan Zhang
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Paper Abstract

Counting of different classes of white blood cells in bone marrow smears can give pathologists valuable information regarding various cancers. But it is tedious to manually locate, identify, and count these classes of cells, even by skilled hands. This paper presents a novel approach for automatic detection of White Blood Cells in bone marrow microscopic images. Different from traditional color imaging method, we use multispectral imaging techniques for image acquisition. The combination of conventional digital imaging with spectroscopy can provide us with additional useful spectral information in common pathological samples. With our spectral calibration method, device-independent images can be acquired, which is almost impossible in conventional color imaging method. A novel segmentation algorithm using spectral operation is presented in this paper. Experiments show that the segmentation is robust, precise, with low computational cost and insensitive to smear staining and illumination condition. Once the nuclei and cytoplasm have been segmented, more than a hundred of features are extracted under the direction of a pathologist, including shape features, textural features and spectral ratio features. In pattern recognition, a maximum likelihood classifier (MLC) is implemented in a hierarchical tree. The classification results are also discussed. This paper is focused on image acquisition and segmentation.

Paper Details

Date Published: 29 April 2005
PDF: 11 pages
Proc. SPIE 5747, Medical Imaging 2005: Image Processing, (29 April 2005); doi: 10.1117/12.593588
Show Author Affiliations
Qiongshui Wu, Wuhan Univ. (China)
Libo Zeng, Wuhan Univ. (China)
Hengyu Ke, Wuhan Univ. (China)
Wenjuan Xie, Wuhan Univ. (China)
Hong Zheng, Wuhan Univ. (China)
Yan Zhang, Wuhan Univ. (China)

Published in SPIE Proceedings Vol. 5747:
Medical Imaging 2005: Image Processing
J. Michael Fitzpatrick; Joseph M. Reinhardt, Editor(s)

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