Sparse Sampling in Helical Cone-Beam CT Perfect Reconstruction Algorithms

TL;DR

This paper proposes an efficient reduced-rate sampling pattern for Helical Cone Beam CT that halves the data acquisition without compromising reconstruction quality, potentially reducing patient radiation exposure.

Contribution

It introduces a new sampling pattern based on frequency domain support bounds, enabling halving the sampling rate in Helical Cone Beam CT.

Findings

Sampling rate can be reduced by up to 50%.

Reconstruction quality remains unaffected by the reduced sampling.

Supports more efficient data collection in medical imaging.

Abstract

In the current paper we consider the Helical Cone Beam CT. This scanning method exposes the patient to large quantities of radiation and results in very large amounts of data being collected and stored. Both these facts are prime motivators for the development of an efficient, reduced rate, sampling pattern. We calculate bounds on the support in the frequency domain of the collected data and use these to suggest an efficient sampling pattern. A reduction of up to a factor of 2 in sampling rate is suggested. Indeed, we show that reconstruction quality is not affected by this reduction of sampling rates.