Results 11 to 20 of about 6,183,214 (282)
Deep learning-based material decomposition of iodine and calcium in mobile photon counting detector CT. [PDF]
PLoS ONEPhoton-counting detector (PCD)-based computed tomography (CT) offers several advantages over conventional energy-integrating detector-based CT. Among them, the ability to discriminate energy exhibits significant potential for clinical applications ...
Kwanhee Han +3 more
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Photon-counting computed tomography thermometry via material decomposition and machine learning [PDF]
Visual Computing for Industry, Biomedicine, and Art, 2023 Thermal ablation procedures, such as high intensity focused ultrasound and radiofrequency ablation, are often used to eliminate tumors by minimally invasively heating a focal region.
Nathan Wang +2 more
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Hyperspectral Neutron CT with Material Decomposition [PDF]
2021 IEEE International Conference on Image Processing (ICIP), 2021 Energy resolved neutron imaging (ERNI) is an advanced neutron radiography technique capable of non-destructively extracting spatial isotopic information within a given material. Energy-dependent radiography image sequences can be created by utilizing neutron time-of-flight techniques.
Thilo Balke +4 more
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Dual Energy CT Physics—A Primer for the Emergency Radiologist
Frontiers in Radiology, 2022 Dual energy CT (DECT) refers to the acquisition of CT images at two energy spectra and can provide information about tissue composition beyond that obtainable by conventional CT.
Devang Odedra +5 more
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A Novel Static CT System: The Design of Triple Planes CT and Its Multi-Energy Simulation Results
Frontiers in Physics, 2021 In this paper, we propose a novel static CT system: triple planes CT (TPCT) system. Three source-detector planes in different horizontal directions are placed in the system.
Yidi Yao +5 more
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IEEE Access, 2021 Spectral photon-counting CT offers novel potentialities to achieve quantitative decomposition of material components, in comparison with traditional energy-integrating CT or dual-energy CT.
Bingqing Xie +9 more
doaj +1 more source
Material Decomposition in Low-Energy Micro-CT Using a Dual-Threshold Photon Counting X-Ray Detector
Frontiers in Physics, 2021 Material decomposition in computed tomography is a method for differentiation and quantification of materials in a sample and it utilizes the energy dependence of the linear attenuation coefficient.
Rasmus Solem +5 more
doaj +1 more source
Framework for Photon Counting Quantitative Material Decomposition [PDF]
IEEE Transactions on Medical Imaging, 2020 In this paper, the accuracy of material decomposition (MD) using an energy discriminating photon counting detector was studied. An MD framework was established and validated using calcium hydroxyapatite (CaHA) inserts of known densities (50 mg/cm3, 100 mg/cm3, 250 mg/cm3, 400 mg/cm3), and diameters (1.2, 3.0, and 5.0 mm). These inserts were placed in a
Nieminen Miika +8 more
openaire +4 more sources
Diagnostics, 2021 The present study evaluates the diagnostic reliability of virtual non-contrast (VNC) images acquired with the first photon counting CT scanner that is approved for clinical use by comparing quantitative image properties of VNC and true non-contrast (TNC)
Julius Henning Niehoff +4 more
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Time complexity analysis of generalized decomposition algorithm [PDF]
, 1997 The time complexity of the fast algorithm for generalized disjunctive decomposition of an rvalued function is studied.The considered algorithm to find the best decomposition is based on the analysis of multiple-terminal multiple-valued decision diagrams.
Pshibytko, V, Kalganova, T
core +6 more sources