Addressing the challenge of compromised imaging quality in sparse Computed Tomography
(CT) reconstructions—a significant issue due to the inherent sparsity of CT scan data—we …

Digital rock technology and pore-scale physics have become increasingly relevant topics in
a wide range of porous media with important applications in subsurface engineering. This …

For sparse sampling that accelerates magnetic resonance (MR) image acquisition, non-
linear reconstruction algorithms have been developed, which incorporated patient specific a …

The meso-damage of concrete structure has an important impact on the macro-damage. X-
ray CT technology, as a non-destructive testing method, is one of great significance to the …

The 3D imaging of soft tissues in their native state is challenging, especially when high
resolution is required. An X-ray-based microCT is, to date, the best choice for high resolution …

The damage sensing of composites is an important issue to ensure their reliable
applications. The damage density and/or the visual inspection of the internal structure have …

Obtaining an accurate segmentation of images obtained by computed microtomography
(micro-CT) techniques is a non-trivial process due to the wide range of noise types and …

Magnetic resonance image (MRI) is extensively adapted in clinical diagnosis due to its
improved representation of changes with soft tissue. The current innovations in compressive …

Compressed sensing magnetic resonance imaging (CS-MRI) makes it possible to shorten
data acquisition time substantially. The traditional iteration-based CS-MRI method is flexible …

Compression moulding of carbon fibre sheet moulding compounds is an attractive
manufacturing method for composite structures. Investigating fibre orientation, defects and …