Iterative reconstruction for photon-counting CT using prior image constrained total generalized variation
In this paper, we present an iterative reconstruction for photon-counting CT using prior
image constrained total generalized variation (PICTGV). This work aims to exploit structural …
image constrained total generalized variation (PICTGV). This work aims to exploit structural …
Spectral prior image constrained compressed sensing (spectral PICCS) for photon-counting computed tomography
Photon-counting computed tomography (PCCT) is an emerging imaging technique that
enables multi-energy imaging with only a single scan acquisition. To enable multi-energy …
enables multi-energy imaging with only a single scan acquisition. To enable multi-energy …
Learned Tensor Neural Network Texture Prior for Photon-Counting CT Reconstruction
Photon-counting computed tomography (PCCT) reconstructs multiple energy-channel
images to describe the same object, where there exists a strong correlation among different …
images to describe the same object, where there exists a strong correlation among different …
Ultra-high resolution photon-counting detector CT reconstruction using spectral prior image constrained compressed-sensing (UHR-SPICCS)
K Rajendran, S Tao, D Abdurakhimova… - … 2018: Physics of …, 2018 - spiedigitallibrary.org
Photon-counting detector based CT (PCD-CT) enables dose efficient high resolution
imaging, in addition to providing multi-energy information. This allows better delineation of …
imaging, in addition to providing multi-energy information. This allows better delineation of …
Low-dose spectral CT reconstruction based on image-gradient L0-norm and adaptive spectral PICCS
The photon-counting detector based spectral computed tomography (CT) is promising for
lesion detection, tissue characterization, and material decomposition. However, the lower …
lesion detection, tissue characterization, and material decomposition. However, the lower …
Statistical iterative material image reconstruction with patch based enhanced 3DTV regularization for photon counting CT
Photon counting computed tomography (PCCT) can simultaneously acquire measurements
from multiple energies, and is able to differentiate material. However, material …
from multiple energies, and is able to differentiate material. However, material …
A multichannel block‐matching denoising algorithm for spectral photon‐counting CT images
Purpose We present a denoising algorithm designed for a whole‐body prototype photon‐
counting computed tomography (PCCT) scanner with up to 4 energy thresholds and …
counting computed tomography (PCCT) scanner with up to 4 energy thresholds and …
Spectral CT reconstruction via low-rank representation and region-specific texture preserving Markov random field regularization
Photon-counting spectral computed tomography (CT) is capable of material characterization
and can improve diagnostic performance over traditional clinical CT. However, it suffers from …
and can improve diagnostic performance over traditional clinical CT. However, it suffers from …
[HTML][HTML] Multi-energy CT reconstruction using tensor nonlocal similarity and spatial sparsity regularization
W Zhang, N Liang, Z Wang, A Cai, L Wang… - … Imaging in Medicine …, 2020 - ncbi.nlm.nih.gov
Background Multi-energy computed tomography (MECT) based on a photon-counting
detector is an emerging imaging modality that collects projections at several energy bins …
detector is an emerging imaging modality that collects projections at several energy bins …
Photon-counting CT reconstruction with a learned forward operator
Photon-Counting CT is an emerging imaging technology that promises higher spatial
resolution and the possibility for material decomposition in the reconstruction. A major …
resolution and the possibility for material decomposition in the reconstruction. A major …