Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2214/ajr.160.2.8424370 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Deep-Learning-Based Reconstruction of Single-Breath-Hold 3 mm HASTE Improves Abdominal Image Quality and Reduces Acquisition Time: A Quantitative Analysis.
Curr Oncol
January 2025
Department of Radiology, Charité-Universitätsmedizin Berlin, Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Charitéplatz 1, 10117 Berlin, Germany.
Breath-hold T2-weighted half-Fourier acquisition single-shot turbo spin echo (HASTE) magnetic resonance imaging (MRI) of the upper abdomen with a slice thickness below 5 mm suffers from high image noise and blurring. The purpose of this prospective study was to improve image quality and accelerate imaging acquisition by using single-breath-hold T2-weighted HASTE with deep learning (DL) reconstruction (DL-HASTE) with a 3 mm slice thickness. MRI of the upper abdomen with DL-HASTE was performed in 35 participants (5 healthy volunteers and 30 patients) at 3 Tesla.
View Article and Find Full Text PDFUtility of Hybrid Angio-CT in Interventional Radiology: Case-Based Examples.
J Vasc Interv Radiol
January 2025
Department of Radiology, University of Chicago Medical Center, University of Chicago, Chicago, Illinois.
Although cone-beam computed tomography (CBCT) is the predominant cross-sectional imaging modality used by interventional radiologists, advancements in hybrid angiography-computed tomography (Angio-CT) technology have demonstrated a strong potential for increased utilization in the angiography suite. The benefits of increased workflow efficiency, decreased relative cost, multipurpose utility, and most importantly improved patient care, may encourage institutions to accept the higher upfront cost of Angio-CT rooms for potential long-term benefits. Hybrid Angio-CT setups are less prone to motion and streak artifacts and may provide superior image quality compared to CBCT.
View Article and Find Full Text PDFFree-Breathing Respiratory Triggered High-Pitch Lung CT: Insights From Phantom and Patient Scans.
Invest Radiol
January 2025
From the Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany (A. Schwarz, A. Simon, A.M.); Siemens Healthineers AG, Forchheim, Germany (A. Schwarz, C.H., J.D., A. Simon); Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany (F.K.W., S.G., M.S.); and Institut for Radiology, Pediatric and Neuroradiology, Helios Hospital, Schwerin, Germany (H.-J.R.).
Objective: Respiratory motion can affect image quality and thus affect the diagnostic accuracy of CT images by masking or mimicking relevant lung pathologies. CT examinations are often performed during deep inspiration and breath-hold to achieve optimal image quality. However, this can be challenging for certain patient groups, such as children, the elderly, or sedated patients.
View Article and Find Full Text PDFOptical Coherence Tomography in Motion: Potential Cause for Artifacts.
JACC Cardiovasc Interv
January 2025
Department of Cardiology, Radboud University Medical Center, Nijmegen, the Netherlands. Electronic address:
Measuring the effects of motion corruption in fetal fMRI.
Hum Brain Mapp
February 2025
Computational Imaging Research Lab, Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria.
Irregular and unpredictable fetal movement is the most common cause of artifacts in in utero functional magnetic resonance imaging (fMRI), affecting analysis and limiting our understanding of early functional brain development. The accurate detection of corrupted functional connectivity (FC) resulting from motion artifacts or preprocessing, instead of neural activity, is a prerequisite for reliable and valid analysis of FC and early brain development. Approaches to address this problem in adult data are of limited utility in fetal fMRI.
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!