Recovering 3D tumor locations from 2D bioluminescence images and registration with CT images

Xiaolei Huang; Dimitris N. Metaxas; Lata G. Menon; Philipp Mayer-Kuckuk; Joseph R. Bertino; Debabrata Banerjee

doi:10.1117/12.647662

13 February 2006 Recovering 3D tumor locations from 2D bioluminescence images and registration with CT images

Xiaolei Huang, Dimitris N. Metaxas, Lata G. Menon, Philipp Mayer-Kuckuk, Joseph R. Bertino, Debabrata Banerjee

Proceedings Volume 6081, Multimodal Biomedical Imaging; 60810B (2006) https://doi.org/10.1117/12.647662
Event: SPIE BiOS, 2006, San Jose, California, United States

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.

Citation Download Citation

Xiaolei Huang, Dimitris N. Metaxas, Lata G. Menon, Philipp Mayer-Kuckuk, Joseph R. Bertino, and Debabrata Banerjee "Recovering 3D tumor locations from 2D bioluminescence images and registration with CT images", Proc. SPIE 6081, Multimodal Biomedical Imaging, 60810B (13 February 2006); https://doi.org/10.1117/12.647662

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