Photon-Counting CT Material Decomposition in Bone Imaging [PDF]
Journal of Imaging, 2023 The accurate screening of osteoporosis is important for identifying persons at risk. The diagnosis of bone conditions using dual X-ray absorptiometry is limited to extracting areal bone mineral density (BMD) and fails to provide any structural ...
Abhisek Bhattarai +3 more
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Dual-Head Pix2Pix Network for Material Decomposition of Conventional CT Projections with Photon-Counting Guidance [PDF]
SensorsMaterial decomposition in X-ray imaging is essential for enhancing tissue differentiation and reducing the radiation dose, but the clinical adoption of photon-counting detectors (PCDs) is limited by their high cost and technical complexity.
Yanyun Liu +9 more
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Comparative Evaluation of Machine Learning and Conventional Material Decomposition Algorithms for Spectral Chest Radiography Using a CdTe Photon-Counting Detector [PDF]
SensorsSpectral chest radiography with photon-counting detectors (PCDs) enables energy-resolved acquisition for bone/soft-tissue separation, but quantitative performance depends on detector cross-talk and the selected material decomposition algorithm.
Sriharsha Marupudi, Bahaa Ghammraoui
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Image-Domain Based Material Decomposition by Multi-Constraint Optimization for Spectral CT
IEEE Access, 2020 As a new generation computed tomography (CT) technology, spectral CT has great potential in many aspects, especially in the identification and decomposition of materials.
Jian Feng +3 more
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Improved Material Decomposition With a Two-Step Regularization for Spectral CT
IEEE Access, 2019 One of the advantages of spectral computed tomography (CT) is it can achieve accurate material components using the material decomposition methods. The image-based material decomposition is a common method to obtain specific material components, and it ...
Weiwen Wu +4 more
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Diagnostic Accuracy of Dual-Energy CT Material Decomposition Technique for Assessing Bone Status Compared with Quantitative Computed Tomography [PDF]
Diagnostics, 2023 Purpose: The purpose of this study was to evaluate the diagnostic accuracy when using various base material pairs (BMPs) in dual-energy computed tomography (DECT), and to establish corresponding diagnostic standards for assessing bone status through ...
Xu Wang +7 more
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Development of a deep learning based approach for multi-material decomposition in spectral CT: a proof of principle in silico study [PDF]
Scientific ReportsConventional approaches to material decomposition in spectral CT face challenges related to precise algorithm calibration across imaged conditions and low signal quality caused by variable object size and reduced dose. In this proof-of-principle study, a
Jayasai R. Rajagopal +11 more
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Enhancing the Opportunistic Bone Status Assessment Using Radiomics Based on Dual-Energy Spectral CT Material Decomposition Images [PDF]
BioengineeringThe dual-energy spectral CT (DEsCT) employs material decomposition (MD) technology, opening up novel avenues for the opportunistic assessment of bone status.
Qiye Cheng +6 more
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Measuring Identification and Quantification Errors in Spectral CT Material Decomposition
Applied Sciences, 2018 Material decomposition methods are used to identify and quantify multiple tissue components in spectral CT but there is no published method to quantify the misidentification of materials.
Aamir Younis Raja +8 more
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Material decomposition approaches for monosodium urate (MSU) quantification in gouty arthritis: a (bio)phantom study [PDF]
European Radiology ExperimentalBackground Dual-energy computed tomography (DECT) is a noninvasive diagnostic tool for gouty arthritis. This study aimed to compare two postprocessing techniques for monosodium urate (MSU) detection: conventional two-material decomposition and material ...
Torsten Diekhoff +4 more
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