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Diagnostics 2013, 3(3), 325-343; doi:10.3390/diagnostics3030325

A Multi-Camera System for Bioluminescence Tomography in Preclinical Oncology Research

1
Department of Radiology, UT Southwestern Medical Center, 5323 Harry Hines Blvd., Dallas, TX 75390, USA
2
Department of Mechanical Engineering, Southern Methodist University, Dallas, TX 75275, USA
3
School of Biological and Health Systems Engineering, Arizona State University, Tempe, AZ 85287, USA
4
Advanced Imaging Research Center, UT Southwestern, Dallas, TX 75390, USA
These authors contributed equally to this work.
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Received: 7 May 2013 / Revised: 13 June 2013 / Accepted: 26 June 2013 / Published: 9 July 2013
(This article belongs to the Special Issue Advance in Molecular Diagnostics and Imaging)
View Full-Text   |   Download PDF [1499 KB, 11 July 2013; original version 9 July 2013]   |  

Abstract

Bioluminescent imaging (BLI) of cells expressing luciferase is a valuable noninvasive technique for investigating molecular events and tumor dynamics in the living animal. Current usage is often limited to planar imaging, but tomographic imaging can enhance the usefulness of this technique in quantitative biomedical studies by allowing accurate determination of tumor size and attribution of the emitted light to a specific organ or tissue. Bioluminescence tomography based on a single camera with source rotation or mirrors to provide additional views has previously been reported. We report here in vivo studies using a novel approach with multiple rotating cameras that, when combined with image reconstruction software, provides the desired representation of point source metastases and other small lesions. Comparison with MRI validated the ability to detect lung tumor colonization in mouse lung. View Full-Text
Keywords: imaging systems; medical and biological imaging; tomography; bioluminescence; MRI; lung cancer imaging systems; medical and biological imaging; tomography; bioluminescence; MRI; lung cancer
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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Lewis, M.A.; Richer, E.; Slavine, N.V.; Kodibagkar, V.D.; Soesbe, T.C.; Antich, P.P.; Mason, R.P. A Multi-Camera System for Bioluminescence Tomography in Preclinical Oncology Research. Diagnostics 2013, 3, 325-343.

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