Filtered By:
Education: Learning
Procedure: PET Scan

This page shows you your search results in order of date.

Order by Relevance | Date

Total 258 results found since Jan 2013.

Na ïve bayes classifier assisted automated detection of cerebral microbleeds in SWI brain images
Biochem Cell Biol. 2023 Aug 28. doi: 10.1139/bcb-2023-0156. Online ahead of print.ABSTRACTCerebral Microbleeds (CMBs) in the brain are the essential indicators of critical brain disorders such as dementia and ischemic stroke. Generally, CMBs are detected manually by experts which is an exhaustive task with limited productivity. Since, CMBs have complex morphological nature, so manual detection is prone to errors. This paper presents a machine learning-based automated Cerebral Microbleeds detection technique in the brain SWI scans based on statistical feature extraction and classification. The proposed method consists of th...
Source: Biochemistry and Cell Biology - August 28, 2023 Category: Biochemistry Authors: Tayyab Ateeq Zaid Bin Faheem Mohamed Ghoneimy Dr Jehad Ali PhD Computer Engineering Yang Li Abdullah Baz 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: Brain Research - July 28, 2023 Category: Neurology Authors: Sayori Takeda Reiko Miyamoto Source Type: research

How John Fetterman Came Out of the Darkness
When he looks back on the past year—a year in which he nearly died, became a U.S. Senator, and nearly died again—it is the debate that John Fetterman identifies as the ­breaking point. “The debate lit the mitch,” he says, then shakes his head in frustration and tries again. The right word is there in his brain, but he struggles to get it out. “Excuse me, that should be lit the mitch—” He stops and tries again. “Lit the match,” he says finally. Oct. 25, 2022: the date is lodged in his mind. “I knew I had to do it,” he tells me. “I knew that the vote...
Source: TIME: Health - July 20, 2023 Category: Consumer Health News Authors: Molly Ball Tags: Uncategorized Congress Cover Story Exclusive feature uspoliticspolicy Source Type: news

Neurofunctional correlates of a neurorehabilitation system based on eye movements in chronic stroke impairment levels: A pilot study
ConclusionThese promising results have a potential application as a new game-based neurorehabilitation approach to enhance the motor activity of stroke patients.
Source: Brain and Behavior - July 12, 2023 Category: Neurology Authors: B árbara R. García‐Ramos, Rebeca Villarroel, José L. González‐Mora, Consuelo Revert, Cristián Modroño Tags: ORIGINAL ARTICLE Source Type: research

Connectomic insight into unique stroke patient recovery after rTMS treatment
This study demonstrates for the first time the feasibility of using individualized connectivity analyses in differentiating unique phenotypes in rTMS treatment responses and recovery. This personalized connectomic approach may be utilized in the future to better understand patient recovery trajectories with neuromodulatory treatment.
Source: Frontiers in Neurology - July 6, 2023 Category: Neurology 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 brain CT-based approach for predicting and analyzing stroke-associated pneumonia from intracerebral hemorrhage
DiscussionOur findings suggest that our method is effective in classifying the development of pneumonia based on brain CT scans. Furthermore, we identified distinct characteristics, such as volume and distribution, of ICH in four different types of SAP.
Source: Frontiers in Neurology - June 2, 2023 Category: Neurology Source Type: research

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

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

Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm
CONCLUSION: The evaluations in this work have demonstrated that this methodology produces acceptable results for classifying magnetic resonance imaging (MRI) data.PMID:36910524 | PMC:PMC9998982 | DOI:10.3389/fcvm.2023.1101765
Source: Atherosclerosis - March 13, 2023 Category: Cardiology Authors: Ya-Fang Chen Zhen-Jie Chen You-Yu Lin Zhi-Qiang Lin Chun-Nuan Chen Mei-Li Yang Jin-Yin Zhang Yuan-Zhe Li Yi Wang Yin-Hui Huang 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