In-situ multi-scattering tomography
This addresses challenges in medical imaging and atmospheric sensing where in-situ imaging is required, representing an incremental advancement in handling scattering effects.
The paper tackled the problem of 3D volumetric recovery in highly scattering media under natural irradiance by formulating a tomography method that accounts for arbitrary orders of scattering using a Monte Carlo model, achieving large-scale rendering and recovery with improved stability and conditioning.
To recover the three dimensional (3D) volumetric distribution of matter in an object, images of the object are captured from multiple directions and locations. Using these images tomographic computations extract the distribution. In highly scattering media and constrained, natural irradiance, tomography must explicitly account for off-axis scattering. Furthermore, the tomographic model and recovery must function when imaging is done in-situ, as occurs in medical imaging and ground-based atmospheric sensing. We formulate tomography that handles arbitrary orders of scattering, using a monte-carlo model. Moreover, the model is highly parallelizable in our formulation. This enables large scale rendering and recovery of volumetric scenes having a large number of variables. We solve stability and conditioning problems that stem from radiative transfer (RT) modeling in-situ.