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X-ray Fluorescence Computed Tomography (XFCT) Imaging with a Superfine Pencil Beam X-ray Source [PDF]
Photonics, 2021 X-ray fluorescence computed tomography (XFCT) is a molecular imaging technique that can be used to sense different elements or nanoparticle (NP) agents inside deep samples or tissues. However, XFCT has not been a popular molecular imaging tool because it
Ignacio O. Romero +3 more
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Acta Polytechnica CTU Proceedings, 2023 This study demonstrates the utilization of deep learning techniques for binary semantic segmentation of pores in carbon fiber reinforced polymers (CFRP) using X-ray computed tomography (XCT) datasets.
Miroslav Yosifov +6 more
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Human Occupation of the North American Colorado Plateau ∼37,000 Years Ago
Frontiers in Ecology and Evolution, 2022 Calibrating human population dispersals across Earth’s surface is fundamental to assessing rates and timing of anthropogenic impacts and distinguishing ecological phenomena influenced by humans from those that were not.
Timothy B. Rowe +9 more
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Reexamination of the mandibular and dental morphology of the Early Jurassic mammaliaform Hadrocodium wui [PDF]
Acta Palaeontologica Polonica, 2022 CT visualization of the mandible and dentition of Hadrocodium wui, a stem mammaliaform from the Lower Jurassic Lower Lufeng Formation of Yunnan, China has revealed new features not accessible by previous microscopic study of the fossil.
ZHE-XI LUO +4 more
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Multi-Mounted X-Ray Computed Tomography. [PDF]
PLoS ONE, 2016 Most existing X-ray computed tomography (CT) techniques work in single-mounted mode and need to scan the inspected objects one by one. It is time-consuming and not acceptable for the inspection in a large scale.
Jian Fu, Zhenzhong Liu, Jingzheng Wang
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X-ray Digital Radiography and Computed Tomography
Journal of Imaging, 2022 In recent years, X-ray imaging has rapidly grown and spread beyond the medical field; today, it plays a key role in diverse research areas [...]
Maria Pia Morigi, Fauzia Albertin
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npj Breast Cancer, 2021 Conventional CT scanners use energy-integrating detectors (EIDs). Photon-counting detector (PCD) computed tomography (CT) utilizes a CT detector technology based on smaller detector pixels capable of counting single photons and in addition discriminating
E. Wehrse +9 more
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Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-ray Images [PDF]
IEEE Trans Neural Netw Learn Syst. 2022 Jan;33(1):3-11, 2022 This paper proposes to encode the distribution of features learned from a convolutional neural network using a Gaussian Mixture Model. These parametric features, called GMM-CNN, are derived from chest computed tomography and X-ray scans of patients with Coronavirus Disease 2019. We use the proposed GMM-CNN features as input to a robust classifier based
arxiv +1 more source
ROOT PHENOTYPING FROM X-RAY COMPUTED TOMOGRAPHY: SKELETON EXTRACTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Breakthrough imaging technologies are a potential solution to the plant phenotyping bottleneck in marker-assisted breeding and genetic mapping. X-Ray CT (computed tomography) technology is able to acquire the digital twin of root system architecture (RSA)
M. Herrero-Huerta +5 more
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X‐ray Stain Localization with Near‐Field Ptychographic Computed Tomography
Advanced Science, 2022 Although X‐ray contrast agents offer specific characteristics in terms of targeting and attenuation, their accumulation in the tissue on a cellular level is usually not known and difficult to access, as it requires high resolution and sensitivity.
Kirsten Taphorn +9 more
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