X-ray image reconstruction for continuous acquisitions with a generalized motion model

Abstract

Continuous X-ray imaging is known to reduce mechanical vibrations and scan time compared to a step-and-shoot acquisition approach. However, motion during X-ray exposure leads to blurred projections and consequently to loss of spatial resolution and contrast in conventionally reconstructed images. Recent works that aim to reduce continuous motion blur focus only on rotational motion and often include linearization approximations, while many applications would benefit from a more generalized continuous acquisition strategy. In this paper, we propose a dedicated reconstruction technique for rotational, translational, and roto-translational motion, without requiring a linearization approximation. Through simulations and real experiments, we show that motion blur artifacts caused by roto-translational continuous scanning are substantially reduced, allowing for faster scanning while retaining image quality.