Objective: The radioactivity count distribution in the brain must be determined accurately to accurately measure cerebral blood flow (CBF). Scatter and attenuation are factors that compromise the accuracy of determining radioactivity counts in the brain.
Methods: We compared regional CBF in patients by an autoradiographic method using N-isopropyl-p-[123I] iodoamphetamine when, first, attenuation correction alone was performed uniformly on SPECT images by using empiric mu-values (Chang method); second, scatter correction was performed and the mu-values of a homogeneous-attenuation body of water were used for attenuation correction (triple-energy window [TEW]+Chang method); and third, scatter correction was performed and the mu-values calculated by CT were used for attenuation correction (TEW+CT method). We also compared regional CBF measured by these methods with the values obtained by the xenon CT/CBF method, which uses CT and stable xenon.
Results: Scatter correction reduced overestimation of regional CBF in low-flow regions. The TEW+CT method yielded better regional and overall correlations with the xenon CT/CBF method than did either of the other methods.
Conclusion: The TEW+CT method of correction gave the most accurate measurements of regional CBF.
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Retin Cases Brief Rep
December 2024
Department of Ophthalmology and Visual Neurosciences, University of Minnesota, Minneapolis, MN, USA.
Purpose: To report the clinical presentation, treatment course, and outcome of a case of bilateral frosted branch angiitis (FBA) and neuroretinitis associated with acute Epstein-Barr virus (EBV) infection in a pediatric patient with Turner Syndrome.
Methods: Case report with multimodal ocular imaging and extensive systemic workup.
Results: A 16-year-old female with Turner syndrome presented with acute bilateral vision loss, hearing loss, and ataxia.
Sci Rep
January 2025
College of Jilin Emergency Management, Changchun Institute of Technology, Changchun, 130012, China.
Globally, heavy metal (HM) soil pollution is becoming an increasingly serious concern. Heavy metals in soils pose significant environmental and health risks due to their persistence, toxicity, and potential for bioaccumulation. These metals often originate from anthropogenic activities such as industrial emissions, agricultural practices, and improper waste disposal.
View Article and Find Full Text PDFZhonghua Yan Ke Za Zhi
January 2025
Eye Institute of Shandong First Medical University, Qingdao Eye Hospital of Shandong First Medical University, State Key Laboratory Cultivation Base, Shandong Key Laboratory of Eye Diseases, School of Ophthalmology, Shandong First Medical University, Qingdao266071, China.
To evaluate the safety and efficacy of cataract extraction combined with multifocal intraocular lens (IOL) optic implantation in Berger space in school-age children with cataracts. It was a prospective study. The clinical data of school-age children with cataract who underwent cataract extraction combined with multifocal IOL implantation at Qingdao Eye Hospital of Shandong First Medical University from January 2019 to June 2023 were collected.
View Article and Find Full Text PDFJ Med Imaging (Bellingham)
December 2024
University of Houston, Department of Physics, Houston, Texas, United States.
Purpose: Photon counting detectors offer promising advancements in computed tomography (CT) imaging by enabling the quantification and three-dimensional imaging of contrast agents and tissue types through simultaneous multi-energy projections from broad X-ray spectra. However, the accuracy of these decomposition methods hinges on precise composite spectral attenuation values that one must reconstruct from spectral micro-CT. Errors in such estimations could be due to effects such as beam hardening, object scatter, or detector sensor-related spectral distortions such as fluorescence.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
December 2024
College of Artificial Intelligence, Nankai University, Tianjin 300350, China.
The main objective of this study was to evaluate the potential of near infrared (NIR) spectroscopy and machine learning in detecting microplastics (MPs) in chicken feed. The application of machine learning techniques in building optimal classification models for MPs-contaminated chicken feeds was explored. 80 chicken feed samples with non-contaminated and 240 MPs-contaminated chicken feed samples including polypropylene (PP), polyvinyl chloride (PVC), and polyethylene terephthalate (PET) were prepared, and the NIR diffuse reflectance spectra of all the samples were collected.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!