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.