Computed tomography of diffraction enhanced imaging (DEI-CT) is a novel x-ray phase-contrast computed tomography which is applied to inspect weakly absorbing low-Z samples. Refraction-angle images which are extracted from a series of raw DEI images measured in different positions of the rocking curve of the analyser can be regarded as projections of DEI-CT. Based on them, the distribution of refractive index decrement in the sample can be reconstructed according to the principles of CT. How to combine extraction methods and reconstruction algorithms to obtain the most accurate reconstructed results is investigated in detail in this paper. Two kinds of comparison, the comparison of different extraction methods and the comparison between "two-step" algorithms and the Hilbert filtered backprojection (HFBP) algorithm, draw the conclusion that the HFBP algorithm based on the maximum refraction-angle (MRA) method may be the best combination at present. Though all current extraction methods including the MRA method are approximate methods and cannot calculate very large refraction-angle values, the HFBP algorithm based on the MRA method is able to provide quite acceptable estimations of the distribution of refractive index decrement of the sample. The conclusion is proved by the experimental results at the Beijing Synchrotron Radiation Facility.
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http://dx.doi.org/10.1088/0031-9155/52/1/001 | DOI Listing |
Epilepsia
January 2025
Division of Child Neurology, Stanford Medicine Children's Health, California, USA.
Objective: Seizures are a recognized complication of critical cardiovascular illness in infants and children. We assessed the diagnostic yield of continuous video-electroencephalography (cEEG) in a pediatric and neonatal cardiovascular intensive care unit (CVICU) by the symptoms and risk factors prompting cEEG evaluation.
Methods: This retrospective case series included all consecutive cEEGs in patients ≤21 years old performed in one CVICU over 38 months.
Acta Parasitol
January 2025
Department of Molecular Biology and Genetics, Ordu University, Ordu, Turkey.
Purpose: Acanthamoeba species are eucaryotic protozoa found predominantly in soil and water. They cause ulceration and vision loss in the cornea (Acanthamoeba keratitis) and central nervous system (CNS) infection involving the lungs (granulomatous amoebic encephalitis). Antiparasitic drugs currently used in the treatment of infections caused by Acanthamoeba species are not effective at the desired level in some anatomical regions such as the eye and CNS.
View Article and Find Full Text PDFIntegr Psychol Behav Sci
January 2025
Federal University of Rio de Janeiro, Rio de Janeiro, Brazil.
This article explores the embodied dimension of authoring life trajectories for individuals who have undergone heart transplantation. Confronting the radical otherness of existential finitude can create a rich context for examining the relationships between authorship, corporeality, and creative processes. By integrating Merleau-Ponty's phenomenology of the body with Susanne Langer's theory of affective semiosis and presentational signs, this work aims to foster a productive dialogue between these perspectives, grounded in Semiotic Cultural Psychology, which meta-theoretically synthesizes a diverse range of knowledge on the transformative interaction between individuals and culture.
View Article and Find Full Text PDFMol Biol Rep
January 2025
Student Research Committee, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Background: The traditional use of Moringa oleifera (MO), an essential food source in Africa and Asia, to cure various diseases dates back thousands of years. This study examines the aqueous and ethanolic leaf extracts of MO's in vitro anti-leukemia capabilities.
Methods: After preparing aqueous and ethanolic MO leaf extracts, cells were treated with various concentrations for 48 h.
J Trauma Acute Care Surg
January 2025
From the Division of Trauma, Surgical Critical Care, Burns and Acute Care Surgery, Department of Surgery (L.A.P., Z.M., J.M., B.H., T.W.C., L.N.H., A.B., L.A., J.J.D., J.E.S.), UC San Diego School of Medicine, San Diego, California; and Division of Acute Care Surgery, Department of Surgery (A.E.L.), University of Missouri School of Medicine, Columbia, Missouri.
Background: Given the high mortality and morbidity of emergency general surgery (EGS), designing and implementing effective quality assessment tools is imperative. Currently accepted EGS risk scores are limited by the need for manual extraction, which is time-intensive and costly. We developed an automated institutional electronic health record (EHR)-linked EGS registry that calculates a modified Emergency Surgery Score (mESS) and a modified Predictive OpTimal Trees in Emergency Surgery Risk (POTTER) score and demonstrated their use in benchmarking outcomes.
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