Techniques of medical image processing and analysis accelerated by high-performance computing: A systematic literature review
Techniques of medical image processing and analysis play a crucial role in many clinical
scenarios, including in diagnosis and treatment planning. However, immense quantities of …
scenarios, including in diagnosis and treatment planning. However, immense quantities of …
Morphology of Copper Nanofoams for Radiation Hydrodynamics and Fusion Applications Investigated by 3D Ptychotomography
The performance of metal and polymer foams used in inertial confinement fusion (ICF),
inertial fusion energy (IFE), and high-energy-density (HED) experiments is currently limited …
inertial fusion energy (IFE), and high-energy-density (HED) experiments is currently limited …
MemXCT: Memory-centric X-ray CT reconstruction with massive parallelization
X-ray computed tomography (XCT) is used regularly at synchrotron light sources to study the
internal morphology of materials at high resolution. However, experimental constraints, such …
internal morphology of materials at high resolution. However, experimental constraints, such …
A highly accurate quantum optimization algorithm for CT image reconstruction based on sinogram patterns
K Jun - Scientific Reports, 2023 - nature.com
Computed tomography (CT) has been developed as a nondestructive technique for
observing minute internal images in samples. It has been difficult to obtain photorealistic …
observing minute internal images in samples. It has been difficult to obtain photorealistic …
A Barzilai-Borwein gradient projection method for sparse signal and blurred image restoration
Abstract We present a Barzilai-Borwein gradient method using the hyperplane projection
technique of Solodov and Svaiter (1998) for solving the non-smooth nonlinear monotone …
technique of Solodov and Svaiter (1998) for solving the non-smooth nonlinear monotone …
Model-based iterative CT image reconstruction on GPUs
Computed Tomography (CT) Image Reconstruction is an important technique used in a
variety of domains, including medical imaging, electron microscopy, non-destructive testing …
variety of domains, including medical imaging, electron microscopy, non-destructive testing …
Massively parallel 3D image reconstruction
Computed Tomographic (CT) image reconstruction is an important technique used in a wide
range of applications. Among reconstruction methods, Model-Based Iterative Reconstruction …
range of applications. Among reconstruction methods, Model-Based Iterative Reconstruction …
MemXCT: design, optimization, scaling, and reproducibility of x-ray tomography imaging
This work extends our previous research entitled “MemXCT: Memory-centric X-ray CT
Reconstruction with Massive Parallelization” that was originally published at SC19 …
Reconstruction with Massive Parallelization” that was originally published at SC19 …
Trace: a high-throughput tomographic reconstruction engine for large-scale datasets
Background Modern synchrotron light sources and detectors produce data at such scale and
complexity that large-scale computation is required to unleash their full power. One of the …
complexity that large-scale computation is required to unleash their full power. One of the …
Distributed iterative CT reconstruction using multi-agent consensus equilibrium
V Sridhar, X Wang, GT Buzzard… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Model-Based Image Reconstruction (MBIR) methods significantly enhance the quality of
computed tomographic (CT) reconstructions relative to analytical techniques, but are limited …
computed tomographic (CT) reconstructions relative to analytical techniques, but are limited …