Abstract

A 3D reconstruction of light sources in biological medium with spatial filtering and updating of the forward model is simulated numerically with use of the optical properties of mouse. The spatial filters locate the strong sources in the medium. The estimated source strength is used to remove the source positions which are not contributed to the measurement data, and improved the spatial resolution of spatial filtering. The forward model updated by spatial filtering is useful to reduce the noises by using singular value decomposition. By removing the noise space from the measurement data, the noises are reduced. The numerical simulations with a numerical phantom with the optical properties of mouse showed that the proposed method succeeded in localizing the sources in a 3D medium and that the additional noise reduction improved the reconstructed images. The proposed reconstruction scheme including the noise reduction achieves robust reconstruction of the light source distribution from the noisy measurement data and incorrect information of the optical properties of the measured subject.

© 2009 OSA/SPIE