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Vascular attenuation and volumetric lung iodine density in dual-layer spectral CT pulmonary angiography: a randomized controlled trial comparing three contrast doses. [PDF]
Eur RadiolFerrández-Ferrández D +7 more
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Contributions to spectral CT [PDF]
, 2013 Spectral x-ray computed tomography (CT) is an important nascent imaging modality with several exciting potential applications. The research presented in this thesis separates into two primary areas with the common underlying theme of spectral CT; the first area is Compton scatter estimation and the second is interior tomography.
Opie, Alexander M. T.
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Radiología (English Edition), 2023
Spectral CT technology is based on the acquisition of CT images with X-ray at 2 different energy levels which makes possible to distinguish between materials with different atomic numbers using their energy-dependent attenuation, even if those materials have similar density at conventional CT.
Helena, Cigarrán Sexto +2 more
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Spectral CT technology is based on the acquisition of CT images with X-ray at 2 different energy levels which makes possible to distinguish between materials with different atomic numbers using their energy-dependent attenuation, even if those materials have similar density at conventional CT.
Helena, Cigarrán Sexto +2 more
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RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 2022
Background Spectral CT is gaining increasing clinical importance with multiple potential applications, including oncological imaging. Spectral CT-specific image data offers multiple advantages over conventional CT image data through various post-processing algorithms, which will be highlighted in the following review ...
Julia, Sauerbeck +2 more
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Background Spectral CT is gaining increasing clinical importance with multiple potential applications, including oncological imaging. Spectral CT-specific image data offers multiple advantages over conventional CT image data through various post-processing algorithms, which will be highlighted in the following review ...
Julia, Sauerbeck +2 more
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Spectral optimization for micro‐CT
Medical Physics, 2012Purpose:To optimize micro‐CT protocols with respect to x‐ray spectra and thereby reduce radiation dose at unimpaired image quality.Methods:Simulations were performed to assess image contrast, noise, and radiation dose for different imaging tasks. The figure of merit used to determine the optimal spectrum was the dose‐weighted contrast‐to‐noise ratio ...
Martin, Hupfer +4 more
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Spectral Distortion Compensation for Spectral CT
2020One of the challenges in photon counting detector (PCD)-based computed tomography (CT) is the spectral distortion in the PCD caused by physical effects such as charge sharing and K-escape fluorescence. This chapter summarizes for conventional approaches to compensate for the spectral distortion in PCD-CT and provides in great detail for a recently ...
Okkyun Lee, Katsuyuki Taguchi
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Spectral optimization for dedicated breast CT
Medical Physics, 2010Purpose:The authors investigated the choice of spectra for the optimization of the dose‐weighted contrast‐to‐noise ratio (CNRD) for a dedicated breast CT scanner. The objective is to provide the desired image quality level at minimal dose values. The CNRD was investigated as a function of energy or tube voltage and filtrations for various breast sizes ...
Michaela, Weigel +2 more
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Spectral CT reconstruction using image sparsity and spectral correlation
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), 2015Spectral data across energy bins are highly correlated but the signal to noise ratio is generally poor for each energy bin due to the narrow bin width and resultant quantum noise. To address this problem, in this paper we propose a spectral CT reconstruction approach that simultaneously reconstructs x-ray attenuation coefficients in all the energy bins,
Yi Zhang 0018 +5 more
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Spectral-Image Decomposition With Energy-Fusion Sensing for Spectral CT Reconstruction
IEEE Transactions on Instrumentation and Measurement, 2021Spectral-computed tomography (CT) has been demonstrating its great advantages in lesion detection, tissue characterization, and material decomposition. However, the quality of images is often significantly corrupted with various noises, which brings a great challenge for its applications.
Shaoyu Wang 0002 +5 more
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