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Proceedings Paper

Nucleus fingerprinting for the unique identification of Feulgen-stained nuclei
Author(s): David Friedrich; Matthias Brozio; André Bell; Stefan Biesterfeld M.D.; Alfred Böcking; Til Aach
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Paper Abstract

DNA Image Cytometry is a method for non-invasive cancer diagnosis which measures the DNA content of Feulgen-stained nuclei. DNA content is measured using a microscope system equipped with a digital camera as a densitometer and estimating the DNA content from the absorption of light when passing through the nuclei. However, a DNA Image Cytometry measurement is only valid if each nucleus is only measured once. To assist the user in preventing multiple measurements of the same nucleus, we have developed a unique digital identifier for the characterization of Feulgen-stained nuclei, the so called Nucleus Fingerprint. Only nuclei with a new fingerprint can be added to the measurement. This fingerprint is based on basic nucleus features, the contour of the nucleus and the spatial relationship to nuclei in the vicinity. Based on this characterization, a classifier for testing two nuclei for identity is presented. In a pairwise comparison of ≈40000 pairs of mutually different nuclei, 99.5% were classified as different. In another 450 tests, the fingerprints of the same nucleus recorded a second time were in all cases judged identical. We therefore conclude that our Nucleus Fingerprint approach robustly prevents the repeated measurement of nuclei in DNA Image Cytometry.

Paper Details

Date Published: 23 February 2012
PDF: 7 pages
Proc. SPIE 8315, Medical Imaging 2012: Computer-Aided Diagnosis, 831517 (23 February 2012); doi: 10.1117/12.911304
Show Author Affiliations
David Friedrich, RWTH Aachen Univ. (Germany)
Matthias Brozio, RWTH Aachen Univ. (Germany)
André Bell, RWTH Aachen Univ. (Germany)
Stefan Biesterfeld M.D., Heinrich-Heine-Univ. Düsseldorf (Germany)
Alfred Böcking, Heinrich-Heine-Univ. Düsseldorf (Germany)
Til Aach, RWTH Aachen Univ. (Germany)


Published in SPIE Proceedings Vol. 8315:
Medical Imaging 2012: Computer-Aided Diagnosis
Bram van Ginneken; Carol L. Novak, Editor(s)

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