Systematic review on learning-based spectral CT
Spectral computed tomography (CT) has recently emerged as an advanced version of
medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two …
medical CT and significantly improves conventional (single-energy) CT. Spectral CT has two …
Material decomposition of spectral CT images via attention-based global convolutional generative adversarial network
X Guo, P He, X Lv, X Ren, Y Li, Y Liu, X Lei… - Nuclear Science and …, 2023 - Springer
Spectral computed tomography (CT) based on photon counting detectors can resolve the
energy of every single photon interacting with the sensor layer and be used to analyze …
energy of every single photon interacting with the sensor layer and be used to analyze …
Characterization of breast tissues in density and effective atomic number basis via spectral X-ray computed tomography
Objective. Differentiation of breast tissues is challenging in X-ray imaging because tissues
might share similar or even the same linear attenuation coefficients μ. Spectral computed …
might share similar or even the same linear attenuation coefficients μ. Spectral computed …
A generalizable new figure of merit for dose optimization in dual energy cone beam CT scanning protocols
Objective. This study proposes and evaluates a new figure of merit (FOMn) for dose
optimization of Dual-energy cone-beam CT (DE-CBCT) scanning protocols based on size …
optimization of Dual-energy cone-beam CT (DE-CBCT) scanning protocols based on size …
Exploring dual-energy CT spectral information for machine learning-driven lesion diagnosis in pre-log domain
In this study, we proposed a computer-aided diagnosis (CADx) framework under dual-
energy spectral CT (DECT), which operates directly on the transmission data in the pre-log …
energy spectral CT (DECT), which operates directly on the transmission data in the pre-log …
An improved iterative neural network for high‐quality image‐domain material decomposition in dual‐energy CT
Purpose Dual‐energy computed tomography (DECT) has widely been used in many
applications that need material decomposition. Image‐domain methods directly decompose …
applications that need material decomposition. Image‐domain methods directly decompose …
Super resolution dual-energy cone-beam CT imaging with dual-layer flat-panel detector
T Su, J Zhu, X Zhang, Y Tan, H Cui… - … on Medical Imaging, 2023 - ieeexplore.ieee.org
In flat-panel detector (FPD) based cone-beam computed tomography (CBCT) imaging, the
native receptor array is usually binned into a smaller matrix size. By doing so, the signal …
native receptor array is usually binned into a smaller matrix size. By doing so, the signal …
IMD-MTFC: Image-domain material decomposition via material-image tensor factorization and clustering for spectral CT
Spectral computed tomography (CT) provides multispectral X-ray information that can be
used for quantitative material-specific imaging compared to the conventional CT. However …
used for quantitative material-specific imaging compared to the conventional CT. However …
Material decomposition using dual-energy CT with unsupervised learning
HY Chang, CK Liu, HM Huang - Physical and Engineering Sciences in …, 2023 - Springer
Material decomposition (MD) is an application of dual-energy computed tomography (DECT)
that decomposes DECT images into specific material images. However, the direct inversion …
that decomposes DECT images into specific material images. However, the direct inversion …
Fast iterative reconstruction for multi-spectral ct by a schmidt orthogonal modification algorithm (soma)
H Pan, S Zhao, W Zhang, H Zhang, X Zhao - Inverse Problems, 2023 - iopscience.iop.org
Multi-spectral CT (MSCT) is increasingly used in industrial non-destructive testing and
medical diagnosis because of its outstanding performance like material distinguishability …
medical diagnosis because of its outstanding performance like material distinguishability …