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Iterative helical cone-beam CT reconstruction using graphics hardware: a simulation study

This paper presents a simulation study on iterative reconstruction methods for helical cone-beam CT using graphics hardware. While analytic methods have been proposed to achieve an exact reconstruction for helical cone-beam CT, these methods may not perform well for projection noise and imaging geometry variations, especially for spiral variations. Iterative methods such as SART are advantageous in this aspect. Since SART is computationally intense, graphics hardware (GPU) may be utilized to handle the computations and increase the efficiency of SART. GPU SART reconstruction results are presented for spiral cone-beam CT, and these results are compared with the Katsevich reconstructions in presence of projection noise and spiral variations. The comparison shows that SART is accurate, efficient, and more robust to projection noise and spiral variations than the Katsevich method.