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To develop an accurate myocardialmapping technique at 5T using Look-Locker-based multiple inversion-recovery with the real-time spoiled gradient echo (GRE) acquisition.The proposedmapping technique (mIR-rt) samples the recovery of inverted magnetization using the real-time GRE and the images captured during diastole are selected forfitting. Multiple-inversion recoveries are employed to increase the sample size for accurate fitting. Themapping method was validated using Bloch simulation, phantom studies, and in 16 healthy volunteers at 5T.In both simulation and phantom studies, thevalues measured by mIR-rt closely approximate the referencevalues, with errors less than 3%, while the conventional MOLLI sequence underestimatesvalues. The myocardialvalues at 5T are 1553 ± 52 ms, 1531 ± 53 ms, and 1526 ± 60 ms (mean ± standard deviation) at the apex, middle, and base, respectively. Thevalues measured by MOLLI (1350 ± 48 ms, 1349 ± 47 ms, and 1354 ± 45 ms at the apex, middle, and base) were significantly lower than those of mIR-rt with< 0.001 for all three layers. The mIR-rt sequence method used in our study provides high reproducibility, particularly in the middle slices, supporting its practical relevance for myocardialmapping.The proposed method is feasible for myocardialmapping at 5T and provides better accuracy than the conventional MOLLI sequence.
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http://dx.doi.org/10.1088/1361-6560/add986 | DOI Listing |
Anal Chem
September 2025
State Key Laboratory of Food Science and Resources, School of Food Science and Technology, Jiangnan University, Wuxi, Jiangsu 214122, China.
Plasmonic nanostructures with engineered morphologies offer powerful platforms for plasmon-based catalysis and enhanced sensing by amplifying local electromagnetic fields, thereby significantly improving the sensitivity and detection limits of techniques such as surface-enhanced Raman scattering (SERS). However, constructing large-area, flexible, and highly sensitive 3D plasmonic platforms remains a significant challenge. Here, we report a bottom-up strategy to develop hard and flexible three-dimensional (3D) plasmonic platforms at ambient conditions via in situ growth of gold nanowires (AuNWs).
View Article and Find Full Text PDFData Brief
August 2025
Electronics and Communication Department, Sarvajanik College of Engineering and Technology, Surat 395001, Gujarat, India.
Machine vision and robotics can play essential roles in solving agricultural problems. The collection and creation of datasets is an indispensable step for machine vision-based applications. Sapota (Manilkara zapota) is an evergreen fruit grown in many regions in India.
View Article and Find Full Text PDFMicrob Pathog
September 2025
Department of Biology, College of Science, University of Hafr Al Batin, P.O. Box 1803, Hafr Al Batin, 31991, Saudi Arabia.
Antibiotic resistance in foodborne bacteria is a growing public health concern, particularly in fresh produce. This study evaluates multidrug-resistant bacteria (MDRB) isolated from spoiled zucchini, cucumber, and potato collected from Sabia, Abu Arish, and Samta in the Jazan region. Bacterial isolates were cultured on MacConkey and Mannitol salt agar, followed by Gram staining to identify three Gram-negative (KMcS, CMcA, PMcSa) and three Gram-positive (KMS, CMA, PMSa) isolates.
View Article and Find Full Text PDFJ Food Sci Technol
July 2025
MIT School of Food Technology, MIT Art, Design and Technology University, Pune, Maharashtra India.
Unlabelled: Microwave treatment is an intense thermal process widely used to extend the shelf life of food products. The study aimed to extend the shelf life of product by preserving microwave treated sample in different packaging materials at different temperature. Microwave-processed jaggery (850 W for 45 s.
View Article and Find Full Text PDFACS Appl Mater Interfaces
June 2025
Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, P. R. China.
Photon upconversion via triplet-triplet annihilation (TTA-UC) is a promising technology for environmentally responsive sensing, characterized by delayed fluorescence and anti-Stokes shifts. However, it faces quantification challenges due to intensity-based detection limitations, such as fluorophore concentration, excitation source instability, and environmental scattering. To address these issues, we report a time-resolved fluorescence strategy that exploits the intrinsic delayed fluorescence lifetime of TTA-UC systems as a robust, concentration-independent parameter for the quantitative spatiotemporal mapping of environmental stimuli.
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