[HTML][HTML] The evolution of image reconstruction for CT—from filtered back projection to artificial intelligence
MJ Willemink, PB Noël - European radiology, 2019 - Springer
The first CT scanners in the early 1970s already used iterative reconstruction algorithms;
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …
however, lack of computational power prevented their clinical use. In fact, it took until 2009 …
Metal artifact reduction in CT: where are we after four decades?
Methods to overcome metal artifacts in computed tomography (CT) images have been
researched and developed for nearly 40 years. When X-rays pass through a metal object …
researched and developed for nearly 40 years. When X-rays pass through a metal object …
Domain progressive 3D residual convolution network to improve low-dose CT imaging
The wide applications of X-ray computed tomography (CT) bring low-dose CT (LDCT) into a
clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly …
clinical prerequisite, but reducing the radiation exposure in CT often leads to significantly …
Low-dose CT denoising via sinogram inner-structure transformer
Low-Dose Computed Tomography (LDCT) technique, which reduces the radiation harm to
human bodies, is now attracting increasing interest in the medical imaging field. As the …
human bodies, is now attracting increasing interest in the medical imaging field. As the …
Artificial intelligence in image reconstruction: the change is here
Innovations in CT have been impressive among imaging and medical technologies in both
the hardware and software domain. The range and speed of CT scanning improved from the …
the hardware and software domain. The range and speed of CT scanning improved from the …
DICDNet: deep interpretable convolutional dictionary network for metal artifact reduction in CT images
Computed tomography (CT) images are often impaired by unfavorable artifacts caused by
metallic implants within patients, which would adversely affect the subsequent clinical …
metallic implants within patients, which would adversely affect the subsequent clinical …
Joint reconstruction of multi-channel, spectral CT data via constrained total nuclear variation minimization
DS Rigie, PJ La Riviere - Physics in Medicine & Biology, 2015 - iopscience.iop.org
We explore the use of the recently proposed'total nuclear variation'(TV N) as a regularizer for
reconstructing multi-channel, spectral CT images. This convex penalty is a natural extension …
reconstructing multi-channel, spectral CT images. This convex penalty is a natural extension …
Discriminative feature representation to improve projection data inconsistency for low dose CT imaging
In low dose computed tomography (LDCT) imaging, the data inconsistency of measured
noisy projections can significantly deteriorate reconstruction images. To deal with this …
noisy projections can significantly deteriorate reconstruction images. To deal with this …
Regularized three-dimensional generative adversarial nets for unsupervised metal artifact reduction in head and neck CT images
M Nakao, K Imanishi, N Ueda, Y Imai, T Kirita… - IEEE …, 2020 - ieeexplore.ieee.org
The reduction of metal artifacts in computed tomography (CT) images, specifically for strong
artifacts generated from multiple metal objects, is a challenging issue in medical imaging …
artifacts generated from multiple metal objects, is a challenging issue in medical imaging …
C-arm orbits for metal artifact avoidance (MAA) in cone-beam CT
Metal artifacts present a challenge to cone-beam CT (CBCT) image-guided surgery,
obscuring visualization of metal instruments and adjacent anatomy—often in the very region …
obscuring visualization of metal instruments and adjacent anatomy—often in the very region …