Purpose: Several investigations are being carried since the past decade to use gold nanoparticles' (AuNP) suspensions as contrast agents (CA) for imaging in Computed Tomography. For this, the optimal size of AuNP has received considerable attention, which is addressed here.
Material And Methods: In this theoretical study, effective attenuation coefficient for a single spherical shaped AuNP is first calculated from the first principles, as a function of the nanoparticle radius 'r', with μ(E) being the attenuation coefficient of the material for a given energy E. This result is extended to derive a formula for the attenuation coefficient and mass attenuation coefficient of a suspension of AuNP.
Results: It is seen that the effective mass attenuation coefficient of the nanoparticles is a decreasing function of α(E) = 2μ(E)r and falls inversely with α(E), for large values of α(E) ≫ 1, there being very little change for α ≤ 1.
Conclusion: The paper shows that for nanoparticles, less than 100 nm in diameter the linear attenuation coefficient of the colloidal suspension has no dependence on the nanoparticles' size and depends only on the concentration of nanoparticle material present in the suspension.
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http://dx.doi.org/10.1016/j.ejmp.2022.01.005 | DOI Listing |
Comput Med Imaging Graph
January 2025
Université Clermont Auvergne, Clermont Auvergne INP, CNRS, Institut Pascal, F-63000 Clermont-Ferrand, France; Université Clermont Auvergne, CNRS, CHU Clermont-Ferrand, Clermont Auvergne INP, Institut Pascal, F-63000 Clermont-Ferrand, France.
Methods for the automated segmentation of brain structures are a major subject of medical research. The small structures of the deep brain have received scant attention, notably for lack of manual delineations by medical experts. In this study, we assessed an automated segmentation of a novel clinical dataset containing White Matter Attenuated Inversion-Recovery (WAIR) MRI images and five manually segmented structures (substantia nigra (SN), subthalamic nucleus (STN), red nucleus (RN), mammillary body (MB) and mammillothalamic fascicle (MT-fa)) in 53 patients with severe Parkinson's disease.
View Article and Find Full Text PDFKorean J Radiol
January 2025
Department of Radiology, Seoul National University College of Medicine, Seoul, Republic of Korea.
Objective: To assess the feasibility of ultrafast brain magnetic resonance imaging (MRI) in pediatric patients.
Materials And Methods: We retrospectively reviewed 194 pediatric patients aged 0 to 19 years (median 10.2 years) who underwent both ultrafast and conventional brain MRI between May 2019 and August 2020.
Sci Rep
January 2025
Department of Electrical Engineering, Faculty of Science and Technology, University Al Azhar Indonesia, Jakarta, Indonesia.
Curvature of a dielectric waveguide always leads to attenuation of the mode power as it propagates through the curved region. In single mode guides, bending loss becomes significant as the radius of curvature reduces and is strongly dependent on the confinement of the guided mode, so that weakly guiding waveguides can tolerate only large radii of curvature. In this paper we verify our new theoretical version on power loss prediction of S-bend optical waveguides by using analytical theory based on integration of absorption coefficient and compare it to the experimental measurement of such waveguide bends.
View Article and Find Full Text PDFNMR Biomed
February 2025
Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
The need to quantify brain glutathione (GSH) accurately by J-difference spectroscopy has stimulated assessment of the TE effects on GSH edited signals at the popular field strength 3 T. We performed multiple-TE J-difference MRS at two sites to evaluate the GSH T relaxation and TE dependence of the GSH signal resolution. Two 10-ms spectrally selective Gaussian editing RF pulses were implemented in 3 T MEGA-PRESS sequences at two sites having different vendors.
View Article and Find Full Text PDFCrim Behav Ment Health
January 2025
Social Development Research Group, School of Social Work, University of Washington, Seattle, Washington, USA.
Background: Cumulative risk scores predict negative outcomes including antisocial behaviour and mental health. Less work has examined the role of cumulative protection, despite the availability of preventive interventions focused on bolstering protection across domains. Understanding links between cumulative risk and protection measured in childhood and later outcomes can help to guide the timing of prevention programmes.
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