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Proceedings Paper

Tumor detection in vivo NIRF images
Author(s): Mehmet Celenk; Lin Yang; Ganti Kamalakar; Derek J. Bleyle; Sudhir K. Sunkara; Yufei Wang; Philip Prudich; Yuangcui Huang; Qiang Zhou
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Paper Abstract

Recent developments in the field of biotechnology and imaging systems have enabled real-time in vivo imaging at both the cellular and molecular level. This paper focuses on a technique that has been designed to detect tumor cells in vivo when using NIRF (near-infrared 705-715 nm range fluorescence) images. Experimental results indicate that the algorithm offers reasonably accurate estimates of the tumor parameters in the presence of white noise and varying background.

Paper Details

Date Published: 12 May 2004
PDF: 8 pages
Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); doi: 10.1117/12.536094
Show Author Affiliations
Mehmet Celenk, Ohio Univ. (United States)
Lin Yang, Ohio Univ. (United States)
Ganti Kamalakar, Ohio Univ. (United States)
Derek J. Bleyle, Ohio Univ. (United States)
Sudhir K. Sunkara, Ohio Univ. (United States)
Yufei Wang, Ohio Univ. (United States)
Philip Prudich, Ohio Univ. (United States)
Yuangcui Huang, Ohio Univ. (United States)
Qiang Zhou, Ohio Univ. (United States)

Published in SPIE Proceedings Vol. 5370:
Medical Imaging 2004: Image Processing
J. Michael Fitzpatrick; Milan Sonka, Editor(s)

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