Background: We are interested in exploring dedicated, high-performance cardiac CT systems optimized to provide the best tradeoff between system cost, image quality, and radiation dose.
Objective: We sought to identify and evaluate a broad range of CT architectures that could provide an optimal, dedicated cardiac CT solution.
Methods: We identified and evaluated thirty candidate architectures using consistent design choices. We defined specific evaluation metrics related to cost and performance. We then scored the candidates versus the defined metrics. Lastly, we applied a weighting system to combine scores for all metrics into a single overall score for each architecture. CT experts with backgrounds in cardiovascular radiology, x-ray physics, CT hardware and CT algorithms performed the scoring and weighting.
Results: We found nearly a twofold difference between the most and the least promising candidate architectures. Architectures employed by contemporary commercial diagnostic CT systems were among the highest-scoring candidates. We identified six architectures that show sufficient promise to merit further in-depth analysis and comparison.
Conclusion: Our results suggest that contemporary diagnostic CT system architectures outperform most other candidates that we evaluated, but the results for a few alternatives were relatively close. We selected six representative high-scoring candidates for more detailed design and further comparative evaluation.
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http://dx.doi.org/10.3233/XST-160537 | DOI Listing |
Front Plant Sci
January 2025
State Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin, China.
Leaf vein, an essential part of leaf architecture, plays significant roles in shaping the proper leaf size. To date, the molecular mechanisms governing leaf development including leaf venation patterning remains poorly understood in birch. Here, we performed the genome-wide identification of homeodomain-like (HD-like) superfamily genes using phylogenetic analysis and revealed the functional role of a potential HD-like gene in leaf growth and development using transgenic technology and transcriptomic sequencing.
View Article and Find Full Text PDFAm J Hypertens
January 2025
Department of Geriatric Medicine, Fuzhou University Affiliated Provincial Hospital, Fuzhou, China, Fuzhou, 350001, China.
Background: Hypertension (HT) is the most prevalent risk factor for cardiovascular disease (CVD) worldwide. Despite being a highly heritable trait, the underlying mechanisms of HT remain elusive due to its complex genetic architecture. Discovering disease-associated proteins with causal genetic evidence offers a potential strategy for identifying therapeutic targets for HT.
View Article and Find Full Text PDFTheor Appl Genet
January 2025
CSIRO Agriculture and Food, 2 Clunies Ross Street, Acton, ACT, 2601, Australia.
In this first QTL mapping study of embryo size in barley, novel and stable QTL were identified and candidate genes underlying a significant locus independent of kernel size were identified based on orthologous analysis and comparison of the whole-genome assemblies for both parental genotypes of the mapping population. Embryo, also known as germ, in cereal grains plays a crucial role in plant development. The embryo accounts for only a small portion of grain weight but it is rich in nutrients.
View Article and Find Full Text PDFCarbohydr Polym
March 2025
Heilongjiang Green Food Science Research Institute, Northeast Agricultural University, Harbin 150030, China; College of Food Science, Northeast Agricultural University, Harbin 150030, China.
Polysaccharide-based metal-organic frameworks have attracted widespread attention due to their combination of the biocompatibility and flexibility of polysaccharides. Cyclodextrin are interesting bio-ligands in the construction of polysaccharide-based MOFs. Conventional methods for preparing cyclodextrin metal-organic frameworks (CD-MOFs) are often time-consuming and inefficient.
View Article and Find Full Text PDFSci Adv
January 2025
Center for Organic Photonics and Electronics Research (OPERA), Kyushu University, 744 Motooka, Nishi, Fukuoka 819-0395, Japan.
The pursuit of boron-based organic compounds with multiresonance (MR)-induced thermally activated delayed fluorescence (TADF) is propelled by their potential as narrowband blue emitters for wide-gamut displays. Although boron-doped polycyclic aromatic hydrocarbons in MR compounds share common structural features, their molecular design traditionally involves iterative approaches with repeated attempts until success. To address this, we implemented machine learning algorithms to establish quantitative structure-property relationship models, predicting key optoelectronic characteristics, such as full width at half maximum (FWHM) and main peak wavelength, for deep-blue MR candidates.
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