Paper
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
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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Cited by 1 scholarly publication and 1 patent.
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KEYWORDS
Tumors

Bioluminescence

3D image processing

3D image reconstruction

Reconstruction algorithms

Cameras

3D modeling

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