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Proceedings Paper

Automated registration and quantification of biophotonic mouse images using a whole body atlas
Author(s): Michael Soria; Steven Eschrich; Dmitry Goldgof
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Paper Abstract

Biophotonic imaging is a novel, relatively low-cost method for in-vivo imaging of tumors in mouse models. This technique, utilizing luminescent cancer cells, can improve productivity for cancer investigators and reduce the number of mice needed to conduct an experiment by allowing longitudinal studies. However, many of the tools provided with these systems are intended for interactive use and are time consuming to use when large numbers of images are captured. Many studies require a specific determination of the location and tumor size, particularly relative to the anatomical details of the mouse; whether this is the entire mouse body, single organs, or custom, user defined regions. An automated method of registering mouse images to a whole body atlas mask with well defined anatomical details is presented. Bilinear scaling is used within the registration process and is shown to be successful since the trapezoidal shape chosen merges well with the natural shape of the mouse. After successful registration, quantification of the photon flux can be performed for the whole body and specific regions using a summation of intensity levels and photon flux per intensity level. Registration accuracy rates over 90% were achieved although results vary relative to the positioning of the mouse. This work provides a base to explore 3D and temporal registration techniques for such data sets.

Paper Details

Date Published: 27 February 2009
PDF: 10 pages
Proc. SPIE 7262, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, 72620Y (27 February 2009); doi: 10.1117/12.812936
Show Author Affiliations
Michael Soria, Univ. of South Florida (United States)
Steven Eschrich, Moffitt Cancer Ctr. (United States)
Dmitry Goldgof, Univ. of South Florida (United States)


Published in SPIE Proceedings Vol. 7262:
Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
Xiaoping P. Hu; Anne V. Clough, Editor(s)

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