Artefacts in CBCT: a review

R Schulze, U Heil, D Groβ… - Dentomaxillofacial …, 2011 - academic.oup.com
Artefacts are common in today's cone beam CT (CBCT). They are induced by discrepancies
between the mathematical modelling and the actual physical imaging process. Since …

Positron emission tomography: current challenges and opportunities for technological advances in clinical and preclinical imaging systems

JJ Vaquero, P Kinahan - Annual review of biomedical …, 2015 - annualreviews.org
Positron emission tomography (PET) imaging is based on detecting two time-coincident high-
energy photons from the emission of a positron-emitting radioisotope. The physics of the …

Low-dose CT image denoising using a generative adversarial network with Wasserstein distance and perceptual loss

Q Yang, P Yan, Y Zhang, H Yu, Y Shi… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
The continuous development and extensive use of computed tomography (CT) in medical
practice has raised a public concern over the associated radiation dose to the patient …

Deep-neural-network-based sinogram synthesis for sparse-view CT image reconstruction

H Lee, J Lee, H Kim, B Cho… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Recently, a number of approaches to low-dose computed tomography (CT) have been
developed and deployed in commercialized CT scanners. Tube current reduction is perhaps …

Iterative reconstruction methods in X-ray CT

M Beister, D Kolditz, WA Kalender - Physica medica, 2012 - Elsevier
Iterative reconstruction (IR) methods have recently re-emerged in transmission x-ray
computed tomography (CT). They were successfully used in the early years of CT, but given …

Structurally-sensitive multi-scale deep neural network for low-dose CT denoising

C You, Q Yang, H Shan, L Gjesteby, G Li, S Ju… - IEEE …, 2018 - ieeexplore.ieee.org
Computed tomography (CT) is a popular medical imaging modality and enjoys wide clinical
applications. At the same time, the X-ray radiation dose associated with CT scannings raises …

Low-dose X-ray CT reconstruction via dictionary learning

Q Xu, H Yu, X Mou, L Zhang, J Hsieh… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Although diagnostic medical imaging provides enormous benefits in the early detection and
accuracy diagnosis of various diseases, there are growing concerns on the potential side …

Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT

EY Sidky, CM Kao, X Pan - Journal of X-ray Science and …, 2006 - content.iospress.com
In practical applications of tomographic imaging, there are often challenges for image
reconstruction due to under-sampling and insufficient data. In computed tomography (CT) …

Tensor-based formulation and nuclear norm regularization for multienergy computed tomography

O Semerci, N Hao, ME Kilmer… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The development of energy selective, photon counting X-ray detectors allows for a wide
range of new possibilities in the area of computed tomographic image formation. Under the …

A three‐dimensional statistical approach to improved image quality for multislice helical CT

JB Thibault, KD Sauer, CA Bouman, J Hsieh - Medical physics, 2007 - Wiley Online Library
Multislice helical computed tomography scanning offers the advantages of faster acquisition
and wide organ coverage for routine clinical diagnostic purposes. However, image …