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This study proposes a modified Shinnar-Le Roux method to synthesize the excitation radio frequency (RF) pulse for a 2D gradient echo (GRE) based simultaneous multi-slice (SMS) magnetic resonance imaging (MRI) with features of low specific absorption rate (SAR) and small out-of-slice ripple. This synthesis method for SMS RF pulses employs thinner slice bandwidth and lower multislice offset frequencies to reduce SAR values and adopts a weighted Parks-McClellan algorithm to reduce sidelobes. Formulas for estimating relative SAR values of the SMS pulses are also introduced. Relative SAR values and out-of-slice ripples of the proposed and typical RF pulses with different parameters are presented. In simultaneous 5-slice phantom and 3-slice human brain imaging, SMS pulses synthesized with the proposed method achieve 32% and 28% SAR values of standard pulses while providing similar image qualities. Typical RF pulses such as sinc x cos can also take advantage of the proposed method and offer lower SAR values for SMS imaging. The RF pulse synthesized using the proposed method features low SAR, small sidelobes, and consistent image quality for 2D GRE-based SMS MRI. This method is applicable to the synthesis of typical SMS RF pulses for significant SAR reduction.
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http://dx.doi.org/10.1063/1.4979861 | DOI Listing |
Chem Biodivers
September 2025
Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Molecular, Structural and Translational Virology Research Group, KU Leuven, Leuven, Belgium.
The human chemokine receptor 8 (CCR8) received attention as target for the treatment of various autoimmune disorders. Phenoxybenzylpiperidine analogues are known to act as CCR8 agonists, although their structure-activity relationship (SAR) has been studied to a limited extent. In this study, the SAR of phenoxybenzylpiperidinyl analogues was explored in a systematic way by fusion or insertion of various heterocyclic groups on the piperidinyl ring, yielding a set of 21 novel phenoxybenzylpiperidinyl derivatives.
View Article and Find Full Text PDFInt J Hyperthermia
December 2025
Department of Radiation Oncology Physics, University of Maryland, Baltimore, MD, USA.
Objective: To develop a deep learning method for fast and accurate prediction of Specific Absorption Rate (SAR) distributions in the human head to support real-time hyperthermia treatment planning (HTP) of brain cancer patients.
Approach: We propose an encoder-decoder neural network with cross-attention blocks to predict SAR maps from brain electrical properties, tumor 3D isocenter coordinates and microwave antenna phase settings. A dataset of 201 simulations was generated using finite-element modeling by varying tissue properties, tumor positions, and antenna phases within a human head model equipped with a three-ring phased-array applicator.
Brain Behav
September 2025
Faculty of Chinese Medicine, Macau University of Science and Technology, Macau, China.
Background: Delirium is an acute cognitive disturbance that is linked to increased healthcare costs, extended hospitalization, and a greater incidence of adverse outcomes, including cognitive decline. Despite its clinical importance, existing strategies for predicting and managing delirium remain inadequate. This study, therefore, sought to investigate the potential relationship between cerebrospinal fluid proteins and delirium via Mendelian randomization (MR) and to identify potential therapeutic targets.
View Article and Find Full Text PDFACS Omega
September 2025
Centre of Artificial Intelligence Driven Drug Discovery, Faculty of Applied Science, Macao Polytechnic University, Macao SAR 999078, China.
Tyrosinase, a copper-dependent oxidase, plays a critical role in melanin biosynthesis and is a target in skin-whitening cosmetics. Conventional inhibitors like arbutin and kojic acid are widely used but suffer from cytotoxicity, instability, and inconsistent efficacy, highlighting the need for safer, more effective alternatives. In this study, two ligand-based machine learning models were developed: one to predict the biological activity of compounds and the other to estimate specific pIC values.
View Article and Find Full Text PDFRSC Adv
August 2025
Department of Chemistry, Research Centre HPT Arts and RYK Science College (Affiliated to S. P. Pune University) Nashik Maharashtra 422005 India
The persistent threat of pathogenic microorganisms demands the development of innovative scaffolds with dual antibacterial and antifungal activities. Herein, we report the synthesis and characterization of a novel series of benzothiazole-thiazole hybrids (4a-4f) a three-step route, confirmed by NMR and MS analyses. The compounds were screened against Gram-positive, Gram-negative, mycobacterial, and fungal strains using disk diffusion and REMA assays.
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