MODIFIED LINEAR SCANNING ALGORITHMS IN COMPUTED TOMOGRAPHY

Abstract

Introduction. This paper investigates and analyzes the effectiveness of a new approach to computed tomography, based on cone-beam tomography using a linear trajectory of the radiation source. Standard approximate reconstruction methods, despite their speed, can lead to a decrease in image quality, which is critical for diagnostics, such as detecting small-sized tumors at early stages.

Methods. The proposed approach is based on exact reconstruction methods, where the projection data obtained from such scanning geometry is complete, allowing for an accurate and high-quality reconstruction of the object. However, the practical application of such scanning geometry has certain drawbacks and limitations, so several possible modifications of the algorithm are proposed.

Results. Additionally, the paper presents the results of a study on the effectiveness of image reconstruction methods based on simulations of different scanning scenarios. The results indicate high reconstruction accuracy when using a square-closed trajectory with a limited path length of the radiation source.

Conclusions. An analytical reconstruction algorithm was developed and compared with the classical Feldkamp-Davis-Kress (FDK) algorithm. The results showed that the new algorithm provides more accurate reconstruction and faster data processing, which will contribute to improving diagnostic procedures in medical practice.

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