DocumentCode :
2381848
Title :
Automatic nuclei segmentation and spatial FISH analysis for cancer detection
Author :
Nandy, Kaustav ; Gudla, Prabhakar R. ; Meaburn, Karen J. ; Misteli, Tom ; Lockett, Stephen J.
Author_Institution :
Opt. Microscopy & Anal. Lab., SAIC-Frederick, Inc., Frederick, MD, USA
fYear :
2009
fDate :
3-6 Sept. 2009
Firstpage :
6718
Lastpage :
6721
Abstract :
Spatial analysis of gene localization using fluorescent in-situ hybridization (FISH) labeling is potentially a new method for early cancer detection. Current methodology relies heavily upon accurate segmentation of cell nuclei and FISH signals in tissue sections. While automatic FISH signal detection is a relatively simpler task, accurate nuclei segmentation is still a manual process which is fairly time consuming and subjective. Hence to use the methodology as a clinical application, it is necessary to automate all the steps involved in the process of spatial FISH signal analysis using fast, robust and accurate image processing techniques. In this work, we describe an intelligent framework for analyzing the FISH signals by coupling hybrid nuclei segmentation algorithm with pattern recognition algorithms to automatically identify well segmented nuclei. Automatic spatial statistical analysis of the FISH spots was carried out on the output from the image processing and pattern recognition unit. Results are encouraging and show that the method could evolve into a full fledged clinical application for cancer detection.
Keywords :
biomedical optical imaging; cancer; cellular biophysics; fluorescence; genetics; image recognition; medical image processing; statistical analysis; tumours; automatic nuclei segmentation; cancer detection; cell nuclei segmentation; fluorescent in-situ hybridization labeling; gene localization; image processing; pattern recognition algorithm; signal detection; spatial FISH analysis; statistical analysis; Automation; Cell Nucleus; Humans; In Situ Hybridization, Fluorescence; Indoles; Neoplasms; Pattern Recognition, Automated;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
ISSN :
1557-170X
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2009.5332922
Filename :
5332922
Link To Document :
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