Iterative Reconstruction

Iterative Reconstruction is a computer-based method used in medical imaging, like CT scans, to produce clearer images. It works by making an initial guess of the image, then repeatedly refining it by comparing the simulated data with the actual scan data. Each iteration improves the image quality, reducing noise and artifacts. This process continues until the image reaches an optimal level of detail, allowing for accurate diagnoses with lower radiation exposure and enhanced image quality. It’s akin to sculpting a statue by refining it step-by-step based on feedback until the final form is achieved.