Back Projection

Back projection is a computational technique used to reconstruct a 3D scene or object from a set of 2D projections, such as images or sensor readings. Current research focuses on improving the accuracy and efficiency of back projection methods, particularly within computed tomography (CT) and 3D reconstruction from multiple views, employing techniques like filtered back projection (FBP) algorithms enhanced with deep learning-based filters or neural networks that refine initial back projections. These advancements are significant for various applications, including medical imaging (improving CT scan speed and quality), autonomous driving (creating accurate 3D representations of environments), and microscopy (enhancing the resolution and reducing noise in 3D biological imaging).