Paper
12 May 2004 Tumor detection in vivo NIRF images
Mehmet Celenk, Lin Yang, Ganti Kamalakar, Derek J. Bleyle, Sudhir K. Sunkara, Yufei Wang, Philip Prudich, Yuangcui Huang, Qiang Zhou
Author Affiliations +
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mehmet Celenk, Lin Yang, Ganti Kamalakar, Derek J. Bleyle, Sudhir K. Sunkara, Yufei Wang, Philip Prudich, Yuangcui Huang, and Qiang Zhou "Tumor detection in vivo NIRF images", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.536094
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Tumors

Image segmentation

In vivo imaging

Imaging systems

3D modeling

Point spread functions

Algorithm development

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