Image reconstruction with laterally truncated projections in helical cone-beam CT: linear prediction based projection completion techniques.

Lateral or transaxial truncation of cone-beam data can occur either due to the field of view limitation of the scanning apparatus or in region-of-interest tomography. In this paper, we suggest two new methods to handle lateral truncation in helical scan CT. It is seen that reconstruction with laterally truncated projection data, assuming it to be complete, gives severe artifacts which even penetrates into the field of view. A row-by-row data completion approach using linear prediction is introduced for helical scan truncated data. An extension of this technique known as windowed linear prediction approach is introduced. Efficacy of the two techniques are shown using simulation with standard phantoms. A quantitative image quality measure of the resulting reconstructed images are used to evaluate the performance of the proposed methods against an extension of a standard existing technique.