Directional-TV Algorithm for Image Reconstruction from Limited-Angular-Range Data

TL;DR

This paper introduces a directional-TV optimization algorithm for reconstructing images from limited-angular-range X-ray CT data, effectively reducing artifacts and accurately recovering images even with significantly reduced angular coverage.

Contribution

The work develops a novel convex optimization-based directional-TV algorithm specifically designed for limited-angular-range CT image reconstruction, improving accuracy and artifact suppression.

Findings

DTV algorithm accurately reconstructs images from limited-angle data.

It significantly reduces artifacts compared to existing methods.

Empirical minimal angular range conditions for accurate reconstruction are established.

Abstract

Investigation of image reconstruction from data collected over a limited angular range in X-ray CT remains a topic of active research because it may yield insight into the development of imaging workflow of practical significance. This reconstruction problem is well-known to be challenging, however, because it is highly ill-conditioned. In the work, we investigate optimization-based image reconstruction from data acquired over a limited-angular range that is considerably smaller than the angular range in short-scan CT. We first formulate the reconstruction problem as a convex optimization program with directional total-variation (TV) constraints applied to the image, and then develop an iterative algorithm, referred to as the directional-TV (DTV) algorithm for image reconstruction through solving the optimization program. We use the DTV algorithm to reconstruct images from data collected over a variety of limited-angular ranges for breast and bar phantoms of clinical- and industrial-application relevance. The study demonstrates that the DTV algorithm accurately recovers the phantoms from data generated over a significantly reduced angular range, and that it considerably diminishes artifacts observed otherwise in reconstructions of existing algorithms. We have also obtained empirical conditions on minimal angular ranges sufficient for numerically accurate image reconstruction with the DTV algorithm.