Physics-informed computer vision: A review and perspectives
The incorporation of physical information in machine learning frameworks is opening and
transforming many application domains. Here the learning process is augmented through …
transforming many application domains. Here the learning process is augmented through …
Pinns for medical image analysis: A survey
The incorporation of physical information in machine learning frameworks is transforming
medical image analysis (MIA). By integrating fundamental knowledge and governing …
medical image analysis (MIA). By integrating fundamental knowledge and governing …
b-MAR: bidirectional artifact representations learning framework for metal artifact reduction in dental CBCT
Objective. Metal artifacts in computed tomography (CT) images hinder diagnosis and
treatment significantly. Specifically, dental cone-beam computed tomography (Dental CBCT) …
treatment significantly. Specifically, dental cone-beam computed tomography (Dental CBCT) …
Development of Residual Dense U-Net (RDU-Net) based metal artefacts reduction technique using Spectral Photon Counting CT
Metal induced artefacts in computed tomography (CT) images are primarily caused by beam
hardening, scatter effects, and photon starvation. These artefacts impede the …
hardening, scatter effects, and photon starvation. These artefacts impede the …
Assessment of material identification and quantification in the presence of metals using spectral photon counting CT
B Tariq, O Sikander, N Francis, M Alkhatib, F Naseer… - Plos one, 2024 - journals.plos.org
Spectral Photon Counting Computed Tomography (SPCCT), a ground-breaking
development in CT technology, has immense potential to address the persistent problem of …
development in CT technology, has immense potential to address the persistent problem of …
Nonconvex weighted variational metal artifacts removal via convergent primal-dual algorithms
L Wang, Z Chen, Z Liu, Y Li, Y Zhao, H Li… - Inverse …, 2024 - iopscience.iop.org
Direct reconstruction through filtered back projection engenders metal artifacts in
polychromatic computed tomography images, attributed to highly attenuating implants …
polychromatic computed tomography images, attributed to highly attenuating implants …
A comprehensive dual energy method for CBCT metal artifact reduction
W Ge, Z Liu, H Cui, X Yuan, Y Yang - Physics in Medicine & …, 2024 - iopscience.iop.org
Objective. A major limitation in cone beam CT (CBCT) application is the presence of metal
artifacts when scanning metal-embedded objects or high attenuation materials. This study …
artifacts when scanning metal-embedded objects or high attenuation materials. This study …
Deep Learning methods for reducing metal artifact in Non-Contrast Brain CT Images with Neurovascular Coils
M Lu, Y Guo, Y Li, X Yan, J Zhu, Y Qu, A Ma, Z Yu… - 2024 - researchsquare.com
Background Metal artifacts from neurovascular coil effect image quality in computed
tomography (CT), we aim to use two deep learning (DL) methods--convolutional neural …
tomography (CT), we aim to use two deep learning (DL) methods--convolutional neural …
The identification and removal of artefacts in medical images
D Lugas - 2023 - epubl.ktu.edu
Abstract [eng] Artefacts in computed tomography images are a relatively common
occurrence. These include beam hardening, motion, ring, noise, metallic and other types of …
occurrence. These include beam hardening, motion, ring, noise, metallic and other types of …