Results 1 to 10 of about 270,552 (263)

Just-in-time deep learning for real-time X-ray computed tomography

Scientific Reports, 2023
Real-time X-ray tomography pipelines, such as implemented by RECAST3D, compute and visualize tomographic reconstructions in milliseconds, and enable the observation of dynamic experiments in synchrotron beamlines and laboratory scanners.
Adriaan Graas, Sophia Bethany Coban, K. Joost Batenburg, Felix Lucka   +3 more
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Beam filtration for object-tailored X-ray CT of multi-material cultural heritage objects

Heritage Science, 2023
Computed tomography (CT) is a powerful non-invasive tool to analyze cultural heritage objects by allowing museum professionals to obtain 3D information about the objects’ interior.
Maximilian B. Kiss, Francien G. Bossema, Paul J. C. van Laar, Suzan Meijer, Felix Lucka, Tristan van Leeuwen, K. Joost Batenburg   +6 more
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2DeteCT - A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learning

Scientific Data, 2023
Recent research in computational imaging largely focuses on developing machine learning (ML) techniques for image reconstruction, which requires large-scale training datasets consisting of measurement data and ground-truth images.
Maximilian B. Kiss, Sophia B. Coban, K. Joost Batenburg, Tristan van Leeuwen, Felix Lucka   +4 more
doaj   +1 more source

CT-based data generation for foreign object detection on a single X-ray projection

Scientific Reports, 2023
Although X-ray imaging is used routinely in industry for high-throughput product quality control, its capability to detect internal defects has strong limitations.
Vladyslav Andriiashen, Robert van Liere, Tristan van Leeuwen, K. Joost Batenburg   +3 more
doaj   +1 more source

A novel method for dendrochronology of large historical wooden objects using line trajectory X-ray tomography

Scientific Reports, 2021
Dendrochronology is an essential tool to determine the date and provenance of wood from historical art objects. As standard methods to access the tree rings are invasive, X-ray computed tomography (CT) has been proposed for non-invasive ...
Francien G. Bossema, Marta Domínguez-Delmás, Willem Jan Palenstijn, Alexander Kostenko, Jan Dorscheid, Sophia Bethany Coban, Erma Hermens, K. Joost Batenburg   +7 more
doaj   +1 more source

Deep learning in optical metrology: a review

Light: Science & Applications, 2022
With the advances in scientific foundations and technological implementations, optical metrology has become versatile problem-solving backbones in manufacturing, fundamental research, and engineering applications, such as quality control, nondestructive ...
Chao Zuo, Jiaming Qian, Shijie Feng, Wei Yin, Yixuan Li, Pengfei Fan, Jing Han, Kemao Qian, Qian Chen   +8 more
doaj   +1 more source

Computers in ultrasonic imaging [PDF]

Journal of Digital Imaging, 1992
This article describes the role of computers and digital electronics in state-of-the-art diagnostic ultrasound scanners. An overview of the computational requirements is provided, and limits on color flow image frame rates are discussed. The new scanner architectures emerging may be used to extend current limitations of ultrasonography, making features
Timothy J. Hall, Stanton J. Rosenthal, Michael F. Insana, Arch W. Templeton   +3 more
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A perturbation approach for ultrafast calculation of RF field enhancements near medical implants in MRI

Scientific Reports, 2022
Patients with medical implants often are deprived of magnetic resonance imaging examination because of safety risks. One specific risk is the enhancement of the radiofrequency fields around the medical implant potentially resulting in significant tissue ...
Peter R. S. Stijnman, Bart R. Steensma, Cornelis A. T. van den Berg, Alexander J. E. Raaijmakers   +3 more
doaj   +1 more source

Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
The attention mechanism is one of the most influential ideas in the deep learning community, which has shown excellent efficiency in various computer vision tasks.
Haotian Zhang, Jing Yao, Li Ni, Lianru Gao, Min Huang   +4 more
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Vehicle Detection Based on Adaptive Multimodal Feature Fusion and Cross-Modal Vehicle Index Using RGB-T Images

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023
Target detection is a critical task in interpreting aerial images. Small target detection, such as vehicles, is challenging. Different lighting conditions affect the accuracy of vehicle detection.
Yuanfeng Wu, Xinran Guan, Boya Zhao, Li Ni, Min Huang   +4 more
doaj   +1 more source