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High performance model based image reconstruction
Computed Tomography (CT) Image Reconstruction is an important technique used in a wide
range of applications, ranging from explosive detection, medical imaging to scientific …
range of applications, ranging from explosive detection, medical imaging to scientific …
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 …
4D X-ray CT reconstruction using multi-slice fusion
S Majee, T Balke, CAJ Kemp… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
There is an increasing need to reconstruct objects in four or more dimensions corresponding
to space, time and other independent parameters. The best 4D reconstruction algorithms …
to space, time and other independent parameters. The best 4D reconstruction algorithms …
Consensus equilibrium framework for super-resolution and extreme-scale CT reconstruction
Computed tomography (CT) image reconstruction is a crucial technique for many imaging
applications. Among various reconstruction methods, Model-Based Iterative Reconstruction …
applications. Among various reconstruction methods, Model-Based Iterative Reconstruction …
CodEx: a modular framework for joint temporal de-blurring and tomographic reconstruction
In many computed tomography (CT) imaging applications, it is important to rapidly collect
data from an object that is moving or changing with time. Tomographic acquisition is …
data from an object that is moving or changing with time. Tomographic acquisition is …
[PDF][PDF] Tomogan: Low-dose x-ray tomography with generative adversarial networks
Synchrotron-based x-ray tomography is a noninvasive imaging technique that allows for
reconstructing the internal structure of materials at high spatial resolutions. Here we present …
reconstructing the internal structure of materials at high spatial resolutions. Here we present …
Model-based iterative reconstruction of magnetization using vector field electron tomography
Vector field electron tomography (VFET) is extensively used for three-dimensional (3-D)
imaging of magnetic materials at nanometer resolutions. The conventional approach is to …
imaging of magnetic materials at nanometer resolutions. The conventional approach is to …
Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications
M Gopalakrishnan Meena, A Ziabari… - 2023 - osti.gov
We introduce a physics guided data-driven method for image-based multi-material
decomposition for dual-energy computed tomography (CT) scans. The method is …
decomposition for dual-energy computed tomography (CT) scans. The method is …
A GPU-accelerated multivoxel update scheme for iterative coordinate descent (ICD) optimization in statistical iterative CT reconstruction (SIR)
Statistical iterative reconstruction (SIR) algorithms have shown great potential for improving
image quality in reduced and low dose X-ray computed tomography (CT). However, high …
image quality in reduced and low dose X-ray computed tomography (CT). However, high …