Single-shot Tomography of Discrete Dynamic Objects
Ajinkya Kadu Felix Lucka Kees Joost Batenburg
This paper presents a novel method for the reconstruction of high-resolution
temporal images in dynamic tomographic imaging, particularly for discrete
objects with smooth boundaries that vary over time. Addressing the challenge of
limited measurements per time point, we propose a technique that
synergistically incorporates spatial and temporal information of the dynamic
objects. This is achieved through the application of the level-set method for
image segmentation and the representation of motion via a sinusoidal basis. The
result is a computationally efficient and easily optimizable variational
framework that enables the reconstruction of high-quality 2D or 3D image
sequences with a single projection per frame. Compared to current methods, our
proposed approach demonstrates superior performance on both synthetic and
pseudo-dynamic real X-ray tomography datasets. The implications of this
research extend to improved visualization and analysis of dynamic processes in
tomographic imaging, finding potential applications in diverse scientific and
industrial domains.