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Proceedings Paper

Recovering 3D tumor locations from 2D bioluminescence images and registration with CT images
Author(s): Xiaolei Huang; Dimitris N. Metaxas; Lata G. Menon; Philipp Mayer-Kuckuk; Joseph R. Bertino; Debabrata Banerjee
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Paper Abstract

In this paper, we introduce a novel and efficient algorithm for reconstructing the 3D locations of tumor sites from a set of 2D bioluminescence images which are taken by a same camera but after continually rotating the object by a small angle. Our approach requires a much simpler set up than those using multiple cameras, and the algorithmic steps in our framework are efficient and robust enough to facilitate its use in analyzing the repeated imaging of a same animal transplanted with gene marked cells. In order to visualize in 3D the structure of the tumor, we also co-register the BLI-reconstructed crude structure with detailed anatomical structure extracted from high-resolution microCT on a single platform. We present our method using both phantom studies and real studies on small animals.

Paper Details

Date Published: 13 February 2006
PDF: 8 pages
Proc. SPIE 6081, Multimodal Biomedical Imaging, 60810B (13 February 2006); doi: 10.1117/12.647662
Show Author Affiliations
Xiaolei Huang, Rutgers Univ. (United States)
Dimitris N. Metaxas, Rutgers Univ. (United States)
Lata G. Menon, Robert Wood Johnson Medical School (United States)
Philipp Mayer-Kuckuk, Robert Wood Johnson Medical School (United States)
Joseph R. Bertino, Robert Wood Johnson Medical School (United States)
Debabrata Banerjee, Robert Wood Johnson Medical School (United States)

Published in SPIE Proceedings Vol. 6081:
Multimodal Biomedical Imaging
Fred S. Azar; Dimitris N. Metaxas, Editor(s)

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