The purpose of this study was to improve dynamic two-dimensional projection magnetic resonance digital subtraction angiography by using remasking and filtering postprocessing techniques. Four methods were evaluated in 50 patients: default mask subtraction, remasked subtraction, filtering based on the SD, and linear filtering. The results demonstrated that postprocessing techniques such as linear filtering can reduce background motion artifacts and improve arterial contrast-to-noise ratio.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1148/radiol.2222010608 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
A Comparison of the Accuracy of Two Non-dental 3D Printers and a Standard Dental 3D Printer for Printing Dental Models: An In Vitro 3D Analysis.
Cureus
December 2024
Workman School of Dental Medicine, High Point University, High Point, USA.
Background: While the majority of dentists and lab techs recommend dental-specific desktop printers, many of them use cheaper, more affordable 3D printers in their practice. The study aimed to compare the accuracy of two commercial non-dental stereolithography (SLA) 3D printers with a dental 3D printer for diagnostic dental casts. Methods: A prototype stereolithographic (Standard Triangle/Tessellation Language (STL)) model of a dentoform was used as a master model to be printed by three 3D printers (n=10 for each printer).
View Article and Find Full Text PDFPost-processing enhances protein secondary structure prediction with second order deep learning and embeddings.
Comput Struct Biotechnol J
January 2025
University of Cyprus, Department of Computer Science, Nicosia, Cyprus.
Protein Secondary Structure Prediction (PSSP) is regarded as a challenging task in bioinformatics, and numerous approaches to achieve a more accurate prediction have been proposed. Accurate PSSP can be instrumental in inferring protein tertiary structure and their functions. Machine Learning and in particular Deep Learning approaches show promising results for the PSSP problem.
View Article and Find Full Text PDFDevelopment of Spray-Dried Micelles, Liposomes, and Solid Lipid Nanoparticles for Enhanced Stability.
Pharmaceutics
January 2025
Department of Pharmaceutics and Medicinal Chemistry, University of the Pacific, Stockton, CA 95211, USA.
Micelles, liposomes, and solid lipid nanoparticles (SLNs) are promising drug delivery vehicles; however, poor aqueous stability requires post-processing drying methods for maintaining long-term stability. The objective of this study was to compare the potential of lipid-based micelles, liposomes, and SLNs for producing stable re-dispersible spray-dried powders with trehalose or a combination of trehalose and L-leucine. This study provides novel insights into the implementation of spray drying as a technique to enhance long-term stability for these lipid-based nanocarriers.
View Article and Find Full Text PDFMetal-Coordinated Polymer-Inorganic Hybrids: Synthesis, Properties, and Application.
Polymers (Basel)
January 2025
Department of Materials Science and Engineering, Iowa State University, Ames, IA 50011, USA.
This review examines the recent advancements and unique properties of polymer-inorganic hybrid materials formed through coordination bonding (Class II hybrids), which enable enhanced functionality and stability across various applications. Here, we categorize these materials based on properties gained through complexation, focusing on electrical conductivity, thermal stability, photophysical characteristics, catalytic activity, and nanoscale self-assembly. Two major synthetic approaches to making these hybrids include homogeneous and heterogeneous methods, each with distinct tradeoffs: Homogeneous synthesis is straightforward but requires favorable mixing between inorganic and polymer species, which are predominantly water-soluble complexes.
View Article and Find Full Text PDFA Transformer Encoder Approach for Localization Reconstruction During GPS Outages from an IMU and GPS-Based Sensor.
Sensors (Basel)
January 2025
Haute Ecole de Gestion Genève, HES-SO, 1227 Carouge, Switzerland.
Accurate localization is crucial for numerous applications. While several methods exist for outdoor localization, typically relying on GPS signals, these approaches become unreliable in environments subject to a weak GPS signal or GPS outage. Many researchers have attempted to address this limitation, primarily focusing on real-time solutions.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!