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Proceedings Paper

Carbon nanotube based respiratory gated micro-CT imaging of a murine model of lung tumors with optical imaging correlation
Author(s): Laurel M. Burk; Yueh Z. Lee; Samuel Heathcote; Ko-han Wang; William Y. Kim; Jianping Lu; Otto Zhou
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Paper Abstract

Current optical imaging techniques can successfully measure tumor load in murine models of lung carcinoma but lack structural detail. We demonstrate that respiratory gated micro-CT imaging of such models gives information about structure and correlates with tumor load measurements by optical methods. Four mice with multifocal, Kras-induced tumors expressing firefly luciferase were imaged against four controls using both optical imaging and respiratory gated micro-CT. CT images of anesthetized animals were acquired with a custom CNT-based system using 30 ms x-ray pulses during peak inspiration; respiration motion was tracked with a pressure sensor beneath each animal's abdomen. Optical imaging based on the Luc+ signal correlating with tumor load was performed on a Xenogen IVIS Kinetix. Micro-CT images were post-processed using Osirix, measuring lung volume with region growing. Diameters of the largest three tumors were measured. Relationships between tumor size, lung volumes, and optical signal were compared. CT images and optical signals were obtained for all animals at two time points. In all lobes of the Kras+ mice in all images, tumors were visible; the smallest to be readily identified measured approximately 300 microns diameter. CT-derived tumor volumes and optical signals related linearly, with r=0.94 for all animals. When derived for only tumor bearing animals, r=0.3. The trend of each individual animal's optical signal tracked correctly based on the CT volumes. Interestingly, lung volumes also correlated positively with optical imaging data and tumor volume burden, suggesting active remodeling.

Paper Details

Date Published: 9 March 2011
PDF: 6 pages
Proc. SPIE 7965, Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging, 79651L (9 March 2011); doi: 10.1117/12.877465
Show Author Affiliations
Laurel M. Burk, The Univ. of North Carolina at Chapel Hill (United States)
Yueh Z. Lee, The Univ. of North Carolina at Chapel Hill (United States)
Samuel Heathcote, The Univ. of North Carolina at Chapel Hill (United States)
Ko-han Wang, The Univ. of North Carolina at Chapel Hill (United States)
William Y. Kim, The Univ. of North Carolina at Chapel Hill (United States)
Jianping Lu, The Univ. of North Carolina at Chapel Hill (United States)
Otto Zhou, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 7965:
Medical Imaging 2011: Biomedical Applications in Molecular, Structural, and Functional Imaging
John B. Weaver; Robert C. Molthen, Editor(s)

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