Reconstruction algorithms

Reconstruction algorithms are methods used to create complete images or data from incomplete or indirect measurements. For example, in medical imaging like CT scans, these algorithms process multiple X-ray images taken from different angles to produce a detailed cross-sectional view of the body. They work by mathematically interpreting the raw data, filling in missing information, and accurately reconstructing the original image. These algorithms are essential in fields like medical imaging, remote sensing, and computer vision, enabling us to visualize internal structures or scenes clearly from limited or indirect data sources.