Compressed Sensing Based Interior Tomography

The CT (Computerized Tomography) scan enables estimation of the interior of a scanned object but involves exposure to high amounts of radiation. In some cases it is desirable to reconstruct only a local region of interest (ROI) with fewer measurements and as a result, less radiation.

This project deals with implementation and examination of reconstruction algorithms for a ROI, using fewer samples. The reconstruction method is based on the Compressed Sensing (CS) theory (adding a minimization constraint of a cost function) and is carried out using iterative algorithms.

Compressed Sensing Based Interior Tomography

 

Compressed Sensing Based Interior Tomography
Compressed Sensing Based Interior Tomography