Tissue tagging can be implemented during cardiovascular magnetic resonance imaging exams to assist with the quantification of left ventriculargeometry, volume and ejection fraction, endocardial thickening and relaxation, and myocardial stress-strain relationships. During tagged cine gradient echo image acquisitions of left ventricular wall motion, rows of k-space data can be acquired with various phase-encoding orders, and the reconstruction of supplemental images can be accomplished using a variety of interpolation techniques. In this study, we investigated the utility of various phase order and segment interpolation methods for determining accurate tag displacement trajectories. Center-out phase order image acquisition with reconstruction using linear interpolation provided the highest tag position and displacement accuracy. Therefore, it is recommended that myocardial tagging exams be acquired with center-out phase encode order and reconstructed using linear segment interpolation when used for performing quantitative analysis of cardiovascular structure and function.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1081/jcmr-120003950 | DOI Listing |
Sensors (Basel)
January 2025
Dalian Naval Academy Cadet Brigade, Dalian 116000, China.
Mesoscale eddies are pivotal oceanographic phenomena affecting marine environments. Accurate and stable identification of these eddies is essential for advancing research on their dynamics and effects. Current methods primarily focus on identifying Cyclonic and Anticyclonic eddies (CE, AE), with anomalous eddy identification often requiring secondary analyses of sea surface height anomalies and eddy center properties, leading to segmented data interpretations.
View Article and Find Full Text PDFSci Rep
January 2025
Guilin University of Technology Institute of Earth Science, Guilin, 541004, People's Republic of China.
To diversify wine production in Xinjiang and address the issue of wine homogenization, it is crucial to leverage the unique climatic advantages of each grape-producing area to foster a high-quality wine industry. Using meteorological data from 80 national standard meteorological stations in Xinjiang, spanning 1961 to 2019, this study established a climatic zoning index system tailored to distinct grape varieties for wines, including dry red, dry white, ice wine, sparkling wine, and natural sweet wines. The system is formulated based on key climatic factors such as the frost-free period, ≥ 10 °C active accumulated temperature (AAT10), mean temperature of the coldest month, annual extreme minimum temperature, and dryness.
View Article and Find Full Text PDFJ Magn Reson Imaging
January 2025
Department of Radiology, Ålesund Hospital, Møre og Romsdal Hospital Trust, Ålesund, Norway.
Background: Deep learning-based segmentation of brain metastases relies on large amounts of fully annotated data by domain experts. Semi-supervised learning offers potential efficient methods to improve model performance without excessive annotation burden.
Purpose: This work tests the viability of semi-supervision for brain metastases segmentation.
Neuroimage
February 2025
Key Laboratory of Ultra-Weak Magnetic Field Measurement Technology, Ministry of Education, School of Instrumentation and Optoelectronic Engineering, Beihang University, 100191, Beijing, China; Hangzhou Institute of Extremely-Weak Magnetic Field Major National Science and Technology Infrastructure, Hangzhou, 310051, China; State Key Laboratory of Traditional Chinese Medicine Syndrome/Health Construction Center, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China; Hefei National Laboratory, Hefei, 230088, China. Electronic address:
The optically pumped magnetometer (OPM) based magnetoencephalography (MEG) system offers advantages such as flexible layout and wearability. However, the position instability or jitter of OPM sensors can result in bad channels and segments, which significantly impede subsequent preprocessing and analysis. Most common methods directly reject or interpolate to repair these bad channels and segments.
View Article and Find Full Text PDFNeural Netw
December 2024
College of Science, North China University of Science and Technology, Tangshan, 063210, China. Electronic address:
The class imbalance problem is one of the difficult factors affecting the performance of traditional classifiers. The oversampling technique is the most common way to solve the class imbalance problem. They alleviate the performance impact of the class imbalance problem on traditional machine learning by augmenting minority instance feature representation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!