Maximum Entropy Image Reconstruction for an Object with Opaque Obstructions

In the case of image reconstruction from missing projection data such as imaging an object with opaque obstructions, the conventional maximum entropy technique reconstructs a degraded image, which results from missing projection data. In this paper, we propose an improved maximum entropy technique based on a good estimation of missing projection data. Computer simulation using the proposed algorithm shows a significant improvement in image quality and convergence behavior over the conventional algorithms. This algorithm is also applied successfully to ultrasound attenuation CT (computed tomography) using a sponge phantom.