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Total 258 results found since Jan 2013.

Rapid lipid-laden plaque identification in intravascular optical coherence tomography imaging based on time-series deep learning
ConclusionsThese encouraging results suggest that this method will allow for high throughput video-rate atherosclerotic plaque assessment through automated tissue characterization for in vivo imaging by providing faster screening to assist in guided decision making during percutaneous coronary interventions.PMID:36307914 | DOI:10.1117/1.JBO.27.10.106006
Source: Atherosclerosis - October 29, 2022 Category: Cardiology Authors: Jose J Rico-Jimenez Javier A Jo Source Type: research

Deep learning based on carotid transverse B-mode scan videos for the diagnosis of carotid plaque: a prospective multicenter study
ConclusionsThe DL model based on US videos corresponding to real examinations showed robust performance for plaque detection and significantly improved the diagnostic performance of junior radiologists.Key Points• The deep learning model based on US videos conforming to real examinations showed robust performance for plaque detection.• Computer-aided diagnosis can significantly improve the diagnostic performance of junior radiologists in clinical practice.
Source: European Radiology - December 13, 2022 Category: Radiology Source Type: research

Reliability of respiratory-gated real-time two-dimensional cine incorporating deep learning reconstruction for the assessment of ventricular function in an adult population
This study aimed to assess the image quality and accuracy of respiratory-gated real-time two-dimensional (2D) cine incorporating deep learning reconstruction (DLR) for the quantification of biventricular volumes and function compared with those of the standard reference, that is, breath-hold 2D balanced steady-state free precession (bSSFP) cine, in an adult population. Twenty-four patients (15 men, mean age 50.7  ± 16.5 years) underwent cardiac magnetic resonance for clinical indications, and 2D DLR and bSSFP cine were acquired on the short-axis view. The image quality scores were based on three main criteria: blood-t...
Source: The International Journal of Cardiovascular Imaging - January 17, 2023 Category: Radiology Source Type: research

Your native tongue holds a special place in your brain, even if you speak 10 languages
This study “contributes to our understanding of how our brain learns new things,” says Augusto Buchweitz, a cognitive neuroscientist at the University of Connecticut, Storrs, who was not involved in the work. “The earlier you learn something, the more your brain [adapts] and probably uses less resources.” Scientists have largely ignored what’s going on inside the brains of polyglots—people who speak more than five languages—says Ev Fedorenko, a cognitive neuroscientist at the Massachusetts Institute of Technology who led the new study. “There’s oodles of work on individuals whose language systems are...
Source: Science of Aging Knowledge Environment - February 3, 2023 Category: Geriatrics Source Type: research

A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
ConclusionThis review's objective is to increase scholars' interest in this difficult field and familiarize them with current advancements in it. To create CAD systems aimed at brain tumor identification using MR images, digital image processing approaches, such as preprocessing, segmentation, and classification, are applied. The classic machine learning and deep learning approaches for brain tumor identification are deliberated in this work. This paper provides a summary of commonly used MR image datasets. For classification, various machine learning and deep learning algorithms have been used. This survey examines curren...
Source: Health and Technology - February 27, 2023 Category: Information Technology Source Type: research

Your Houseplants Have Some Powerful Health Benefits
Every morning, I spring out of bed, eager to check on my housemates: Alvin the monstera albo, Allison the other albo, Dominic the philodendron domesticum variegated, and Connie the Thai constellation monstera. Yes, my vegetal friends all have names—which you understand if you’re a plant person, too. Collecting and caring for houseplants boomed in popularity during the pandemic, especially among younger adults who often don’t have abundant outdoor space. Americans spent $8.5 billion more on gardening-related items in 2020 than in 2019, according to the U.S. Census Bureau. Vibrant communities blossomed on s...
Source: TIME: Health - March 2, 2023 Category: Consumer Health News Authors: Angela Haupt Tags: Uncategorized healthscienceclimate Research Wellbeing Source Type: news

A survey of deep learning for MRI brain tumor segmentation methods: Trends, challenges, and future directions
ConclusionThis review's objective is to increase scholars' interest in this difficult field and familiarize them with current advancements in it. To create CAD systems aimed at brain tumor identification using MR images, digital image processing approaches, such as preprocessing, segmentation, and classification, are applied. The classic machine learning and deep learning approaches for brain tumor identification are deliberated in this work. This paper provides a summary of commonly used MR image datasets. For classification, various machine learning and deep learning algorithms have been used. This survey examines curren...
Source: Health and Technology - February 27, 2023 Category: Information Technology Source Type: research

Deep-Learning for Epicardial Adipose Tissue Assessment With Computed  Tomography: Implications for Cardiovascular Risk Prediction
CONCLUSIONS: Automated assessment of EAT volume is possible in CCTA, including in patients who are technically challenging; it forms a powerful marker of metabolically unhealthy visceral obesity, which could be used for cardiovascular risk stratification.PMID:36881425 | DOI:10.1016/j.jcmg.2022.11.018
Source: Atherosclerosis - March 7, 2023 Category: Cardiology Authors: Henry W West Muhammad Siddique Michelle C Williams Lucrezia Volpe Ria Desai Maria Lyasheva Sheena Thomas Katerina Dangas Christos P Kotanidis Pete Tomlins Ciara Mahon Attila Kardos David Adlam John Graby Jonathan C L Rodrigues Cheerag Shirodaria John Dean Source Type: research

NIH highlights PET imaging in study of rare bone disease
The U.S. National Institutes of Health (NIH) has highlighted a study featurin...Read more on AuntMinnie.comRelated Reading: NaF-PET shows bone formation in psoriatic arthritis patients PET/MRI provides new insights into knee osteoarthritis NaF-PET reveals aortic wall injuries NaF-PET scans reveal plaque -- and possible risk of stroke Can deep learning monitor lesions on F-18 NaF PET/CT?
Source: AuntMinnie.com Headlines - April 10, 2023 Category: Radiology Source Type: news

The Great Contrast Shortage of 2022 —Lessons learnt in Australia
ConclusionOur findings demonstrate that the IBCM shortage crisis had a very significant impact on the delivery of healthcare. While V/Q scans could (partially) substitute for CTPA studies in suspected pulmonary emboli, there appeared to be no valid alternative for CTNA studies in stroke calls. The unexpected and critical shortage of IBCM forced healthcare professionals to conserve resources, prioritise indications, triage patients based on risk, explore alternate imaging strategies and prepare for similar events recurring in the future.
Source: Journal of Medical Imaging and Radiation Oncology - May 18, 2023 Category: Radiology Authors: Giles Kisby, James H Seow, Greg Schie, Constantine C Phatouros, Kay ‐Vin Lam, Tracey Muir, Sally Burrows, Paul M Parizel Tags: Medical Imaging —Original Article Source Type: research

Streamlined Carotid Artery Calcification Labeling For Cta Scans
Introduction: We require vast amounts of manually labeled calcifications to train advanced machine learning classifiers for carotid artery plaque detection and phenotyping high-risk calcifications for ischemic stroke patients. We developed CTOOL, a web-based software for streamlined calcium labeling with minimal user interaction.
Source: Journal of Cardiovascular Computed Tomography - July 1, 2023 Category: Radiology Authors: J. Kim, N. Arnett, J. Kotler, D. Shah, B. Cucchiara, J. Song, D. Haehn Source Type: research

A randomized controlled trial of Changes in resting-state functional connectivity associated with short-term motor learning of chopstick use with the non-dominant hand
CONCLUSION]: Offline enhancement of RSFC in these networks was shown to contribute to early chopstick-use motor learning with the left hand. These results serve as a basis for future studies on compensatory networks in individuals with stroke.PMID:37506851 | DOI:10.1016/j.bbr.2023.114599
Source: Behavioural Brain Research - July 28, 2023 Category: Neurology Authors: Sayori Takeda Reiko Miyamoto Source Type: research