Final answer:
The mathematical process used by single-row detector scanners to reconstruct CT images from raw data is called filtered back projection. This process involves passing the raw data through a series of mathematical filters to remove noise and enhance image quality. The filtered data is then back projected to create a detailed image of the internal structures.
Step-by-step explanation:
The mathematical process used by single-row detector scanners to reconstruct CT images from raw data is called filtered back projection. This process involves passing the raw data through a series of mathematical filters to remove noise and enhance image quality. The filtered data is then back projected to create a detailed image of the internal structures.
Filtered back projection works by taking multiple X-ray projections from different angles around the patient's body. These projections are then combined using mathematical algorithms to reconstruct a 2D or 3D image. The process involves using a Fourier transform to convert the projections from the frequency domain to the spatial domain.