Results 1 to 10 of about 129,861 (224)

Phantom-based performance comparison of two commercial deep learning CT reconstruction algorithms with super- and normal-resolution settings [PDF]

European Radiology Experimental
Objective We compared a super-resolution deep learning image reconstruction (SR-DLR) algorithm with a normal-resolution (NR)-DLR algorithm according to radiation dose for abdominal computed tomography (CT).
Joël Greffier, Catherine Roy, Djamel Dabli, Jean-Paul Beregi, Maxime Pastor   +4 more
doaj   +2 more sources

Validation and feasibility of a deep learning-based reconstruction technology in 5.0 tesla knee joint MR imaging [PDF]

Frontiers in Radiology
PurposeThis study aimed to evaluate the feasibility of a deep learning-based reconstruction (DLR) algorithm for optimizing conventional 5.0 Tesla knee joint MR protocols.MethodsThis prospective study enrolled 69 patients who underwent both knee ...
Pan Wang, Zhigang Li, Chuan Zhu, Ran Mu, Chang Liu, Jing Yang, Lixin Du   +6 more
doaj   +2 more sources

Clinical feasibility test of 60 kVp double-low-dose coronary CT angiography with a deep learning reconstruction algorithm [PDF]

Insights into Imaging
Objectives To test the feasibility of 60 kVp double-low-dose coronary CT angiography (CCTA) with a deep learning reconstruction (DLR) algorithm. Materials and methods Eighty-nine patients (44 females, 59.9 ± 13.2 years, 23.1 ± 3.3 kg/m2) with known or ...
Xi Wu, Manman Zhu, Yixuan Zou, Jialin Luo, Weiling He, Wenjie Sun, Hui Shi, Peng Liu, Feng Huang   +8 more
doaj   +2 more sources

Super-Resolution Deep Learning Reconstruction Improves Image Quality of Dynamic Myocardial Computed Tomography Perfusion Imaging [PDF]

Tomography
Background/Objectives: Super-resolution deep-learning reconstruction (SR-DLR) is an advanced image reconstruction technique, but its effect on dynamic myocardial computed tomography perfusion (CTP) imaging has not been evaluated.
Yusuke Kobayashi, Yuki Tanabe, Tomoro Morikawa, Kazuki Yoshida, Kentaro Ohara, Takaaki Hosokawa, Takanori Kouchi, Shota Nakano, Osamu Yamaguchi, Teruhito Kido   +9 more
doaj   +2 more sources

Investigating the genetic imprint of long body length, high lean meat rate, high fertility and long gestation period in Danish Landrace pigs [PDF]

BMC Genomics
Background After long-term artificial selection and lineage mixing, the Danish Landrace pig (DLR), has developed characteristics such as a long body length, high lean meat rate, rapid growth rate, high litter size, and a longer gestation period, with an ...
Jianmei Chen, Ruihua Huang, Jinfeng Ma, Guosheng Su, Min Huang, Wuduo Zhou, Chenxi Liu, Qian Liu, Pinghua Li, Qingbo Zhao   +9 more
doaj   +2 more sources

Digital Beamforming and Traffic Monitoring Using the new FSAR System of DLR [PDF]

, 2007
In November 2006 the first X-band test flight of DLR’s new FSAR system has been performed successfully and in February 2007 the first flight campaign has been conducted for acquiring experimental multi-channel data of controlled ground moving targets. In
Baumgartner, Stefan, Bethke, Karl-Heinz, Gabele, Martina, Gebert, Nicolas, Gerhard, Krieger, Moreira, Alberto, Scheiber, Rolf   +6 more
core   +2 more sources

The disturbance leg-lift response (DLR): an undescribed behavior in bumble bees [PDF]

PeerJ, 2021
Background Bumble bees, primarily Bombus impatiens and B. terrestris, are becoming increasingly popular organisms in behavioral ecology and comparative psychology research.
Christopher A. Varnon, Noelle Vallely, Charlie Beheler, Claudia Coffin   +3 more
doaj   +2 more sources

A revisiting of the parametrization of downward longwave radiation in summer over the Tibetan Plateau based on high-temporal-resolution measurements [PDF]

Atmospheric Chemistry and Physics, 2020
The Tibetan Plateau (TP) is one of the research hot spots in the climate change research due to its unique geographical location and high altitude.
M. Liu, M. Liu, X. Zheng, J. Zhang, J. Zhang, J. Zhang, X. Xia, X. Xia, X. Xia   +8 more
doaj   +1 more source

Image quality comparison of lower extremity CTA between CT routine reconstruction algorithms and deep learning reconstruction

BMC Medical Imaging, 2023
Background To evaluate the image quality of lower extremity computed tomography angiography (CTA) with deep learning–based reconstruction (DLR) compared to model-based iterative reconstruction (MBIR), hybrid-iterative reconstruction (HIR), and filtered ...
Daming Zhang, Chunlin Mu, Xinyue Zhang, Jing Yan, Min Xu, Yun Wang, Yining Wang, Huadan Xue, Yuexin Chen, Zhengyu Jin   +9 more
doaj   +1 more source

Assessment of Image Quality of Coronary CT Angiography Using Deep Learning-Based CT Reconstruction: Phantom and Patient Studies

Diagnostics, 2023
Background: In coronary computed tomography angiography (CCTA), the main issue of image quality is noise in obese patients, blooming artifacts due to calcium and stents, high-risk coronary plaques, and radiation exposure to patients.
Pil-Hyun Jeon, Sang-Hyun Jeon, Donghee Ko, Giyong An, Hackjoon Shim, Chuluunbaatar Otgonbaatar, Kihong Son, Daehong Kim, Sung Min Ko, Myung-Ae Chung   +9 more
doaj   +1 more source