Abstract

We present a fast algorithm for finding solutions to the diffusion equation in volumes with curved surfaces. This method can be used instead of more computationally intensive algorithms based on a finite elements of finite differences approach. As an application of our method, we show that mishandling surface boundaries in small-animal fluorescence imaging can severely limit the quality of tomography images.

© 2008 Optical Society of America