Which process creates artificial raw data in the iterative reconstruction loop?

The process that creates artificial raw data in the iterative reconstruction loop is forward projection. In this context, forward projection involves simulating what the data would look like if an image were perfect, based on the current estimate of the image. It helps in refining the reconstruction process by allowing algorithms to compare the simulated data against the actual measured data.

During an iterative reconstruction, this comparison guides adjustments to the image estimate, refining it in steps until the difference between the simulated and actual data is minimized. This process is essential for improving image quality and reducing artifacts, particularly in low-dose settings or when high-quality images are required. By generating artificial raw data, forward projection is crucial to enhancing the iterative reconstruction loop's effectiveness in producing clear, accurate images.