3D reconstruction from log-compressed Rayleigh images
This paper addresses 3D reconstruction in the presence of multiplicative noise and non-linear compression of the ultrasound data. Ultrasound images are often considered as being corrupted by multiplicative noise with Rayleigh distribution. However, commercial ultrasound equipment also performs a non-linear image compression which reduces the dynamic range of the ultrasound signal, for visualization purposes. In this paper the non-linear compression is explicitly modelled and considered for 3D reconstruction of medical data. The proposed algorithm is tested with synthetic and real data and the results are discussed.