Quantification of spinal bone marrow fat fraction using three-material decomposition technique on dual-energy CT: A phantom study.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16442
Abstract: BACKGROUND Two-material decomposition is insufficient to quantify the fat fraction of spinal bone marrow, which is comprised of a mixture of bone minerals, water, and yellow marrow (fat). PURPOSE To develop an accurate three-material decomposition-based… read more here.
Keywords: bone marrow; bone; marrow; material decomposition ... See more keywords
Image‐domain material decomposition for dual‐energy CT using unsupervised learning with data‐fidelity loss
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DOI: 10.1002/mp.17255
Abstract: Dual‐energy computed tomography (DECT) and material decomposition play vital roles in quantitative medical imaging. However, the decomposition process may suffer from significant noise amplification, leading to severely degraded image signal‐to‐noise ratios (SNRs). While existing iterative… read more here.
Keywords: image; material decomposition; dual energy; image domain ... See more keywords
Quantitative material decomposition with dynamic x-ray model in spectral CT.
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DOI: 10.1002/mp.70154
Abstract: With the development of photon‐counting detectors (PCD), spectral CT has gained greater flexibility in utilizing spectral information, making it a powerful tool for material decomposition. Traditional decomposition methods rely on predefined physical models to estimate… read more here.
Keywords: decomposition dynamic; material decomposition; dynamic ray; quantitative material ... See more keywords
Evaluation of material decomposition for pulmonary function test in spectral computed tomography: A Monte Carlo simulation study
Sign Up to like & getrecommendations! Published in 2018 at "Optik"
DOI: 10.1016/j.ijleo.2018.08.093
Abstract: Abstract Due to various factors, the number of chronic obstructive pulmonary disease (COPD) patients continues to grow. In addition, the mortality from COPD is increasing because of the difficult in the early detection of COPD.… read more here.
Keywords: pulmonary function; decomposition; material decomposition; test ... See more keywords
Dynamic-dual-energy spectral CT for improving multi-material decomposition in image-domain.
Sign Up to like & getrecommendations! Published in 2019 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/ab196d
Abstract: Dual-energy CT, as well as spectral CT, has a great potential in material decomposition. However, dual-energy CT is difficult to apply to multi-material decomposition because the number of energy bins is limited to two. Current… read more here.
Keywords: dynamic dual; energy; dual energy; multi material ... See more keywords
Multi-step material decomposition for spectral computed tomography.
Sign Up to like & getrecommendations! Published in 2019 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/ab2b0e
Abstract: Spectral images from photon counting spectral detectors are being explored for material decomposition applications such as for obtaining quantitative maps of tissue types and contrast agents. While these detectors allow acquisition of multi-energy data in… read more here.
Keywords: step material; multi step; step; decomposition spectral ... See more keywords
Image domain multi-material decomposition using single energy CT.
Sign Up to like & getrecommendations! Published in 2020 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/ab7503
Abstract: Multi-material decomposition (MMD) technique decomposes the CT images into basis material images and has been promising in clinical practice for material composition quantification within the human body. MMD could be implemented using the image data… read more here.
Keywords: image; energy; method; multi material ... See more keywords
Dual-energy CT material decomposition in the presence of nonuniqueness.
Sign Up to like & getrecommendations! Published in 2025 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/ae28ae
Abstract: Objective. To develop a pathlength recovery method for material decomposition to address the challenge of nonunique mappings from fluence transmission to basis material pathlengths in dual-energy computed tomography (DECT) and implement it into a two-step… read more here.
Keywords: method; material decomposition; pathlength; dual energy ... See more keywords
Advancements in Material Decomposition Techniques for Spectral CT: A Comparative Analysis of Traditional and AI-Driven Methods
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DOI: 10.1109/access.2025.3616950
Abstract: Material decomposition (MD) in computed tomography (CT) imaging is undergoing a significant transformation as it shifts towards the integration of machine learning (ML) and artificial intelligence (AI) frameworks. The combination of spectral (multi-energy) CT and… read more here.
Keywords: based techniques; analysis traditional; material decomposition; advancements material ... See more keywords
ISMDNet: Multi-Material Decomposition Using Deep Learning and Inverse Transform Sampling in Spectral Photon Counting CT
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DOI: 10.1109/access.2025.3639971
Abstract: Spectral Photon Counting Computed Tomography (SPCCT) is a novel imaging technique that uses photon counting detectors to acquire images across multiple X-ray energy windows. This energy discrimination enables material decomposition (MD) using the X-ray attenuation… read more here.
Keywords: deep learning; photon counting; material decomposition; learning ... See more keywords
Spectral CT Image-Domain Material Decomposition via Sparsity Residual Prior and Dictionary Learning
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3221120
Abstract: The spectral computed tomography (CT) system based on a photon-counting detector (PCD) can quantitatively analyze the material composition of the inspected object by material decomposition. Nonetheless, the raw projection of spectral CT is frequently disturbed… read more here.
Keywords: image domain; domain material; decomposition; material decomposition ... See more keywords