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Total 37864 results found since Jan 2013.
An MRI sequence independent convolutional neural network for synthetic head CT generation in proton therapy
Z Med Phys. 2021 Dec 14:S0939-3889(21)00089-1. doi: 10.1016/j.zemedi.2021.10.003. Online ahead of print.ABSTRACTA magnetic resonance imaging (MRI) sequence independent deep learning technique was developed and validated to generate synthetic computed tomography (sCT) scans for MR guided proton therapy. 47 meningioma patients previously undergoing proton therapy based on pencil beam scanning were divided into training (33), validation (6), and test (8) cohorts. T1, T2, and contrast enhanced T1 (T1CM) MRI sequences were used in combination with the planning CT (pCT) data to train a 3D U-Net architecture with ResNet-Blocks. A...
Source: Zeitschrift fur Medizinische Physik - December 18, 2021 Category: Radiology Authors: Lukas Zimmermann Barbara Kn äusl Markus Stock Carola L ütgendorf-Caucig Dietmar Georg Peter Kuess Source Type: research
Diagnosis of placenta accreta spectrum in high-risk women using ultrasonography or magnetic resonance imaging: systematic review to compare accuracy of tests
CONCLUSION: US and MRI have similar accuracy characteristics for PAS diagnosis. These results suggest that, in settings with high prevalence of risk factors, the screening for PAS should start with the most available test or the one which the providers are more apt to interpret. This article is protected by copyright. All rights reserved.PMID:35041250 | DOI:10.1002/uog.24861
Source: The Ultrasound Review of Obstetrics and Gynecology - January 18, 2022 Category: Radiology Authors: M de Oliveira Carniello L G Oliveira Brito L O Z Sarian J R Bennini Source Type: research
Sleep Apnea Syndrome And Large Artery Subclinical Damage: Targeting Thoracic Aortic Dilatation
CONCLUSIONS: Our findings suggest an association between OSA and aortic enlargement and particularly in the severe OSA setting. However, this conclusion must be taken with caution in relation to two types of factors: I) the paucity of available data, and II) the limits deriving from the methodological differences of the various studies. Larger prospective and carefully designed studies are needed to shed light on this relevant public health topic.PMID:35136923 | DOI:10.1093/ajh/hpac006
Source: American Journal of Hypertension - February 9, 2022 Category: Cardiology Authors: Elisa Gherbesi Marijana Tadic Andrea Faggiano Carla Sala Stefano Carugo Cesare Cuspidi Source Type: research
Artificial intelligence applied to fetal MRI: A scoping review of current research
Br J Radiol. 2022 Mar 14:20211205. doi: 10.1259/bjr.20211205. Online ahead of print.ABSTRACTArtificial intelligence (AI) is defined as the development of computer systems to perform tasks normally requiring human intelligence. A subset of AI, known as machine learning (ML), takes this further by drawing inferences from patterns in data to 'learn' and 'adapt' without explicit instructions meaning that computer systems can 'evolve' and hopefully improve without necessarily requiring external human influences. The potential for this novel technology has resulted in great interest from the medical community regarding how it ca...
Source: The British Journal of Radiology - March 14, 2022 Category: Radiology Authors: Riwa Meshaka Trevor Gaunt Susan C Shelmerdine Source Type: research
