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Total 166 results found since Jan 2013.

MRI for all: Cheap portable scanners aim to revolutionize medical imaging
.news-article__hero--featured .parallax__element{ object-position: 47% 50%; -o-object-position: 47% 50%; } The patient, a man in his 70s with a shock of silver hair, lies in the neuro intensive care unit (neuro ICU) at Yale New Haven Hospital. Looking at him, you’d never know that a few days earlier a tumor was removed from his pituitary gland. The operation didn’t leave a mark because, as is standard, surgeons reached the tumor through his nose. He chats cheerfully with a pair of research associates who have come to check his progress with a new and potentially revolutionary device they are testing. The cylind...
Source: Science of Aging Knowledge Environment - February 23, 2023 Category: Geriatrics Source Type: research

Deep learning for collateral evaluation in ischemic stroke with imbalanced data
ConclusionAn automatic and robust collateral assessment method that mitigates the issues with the small imbalanced dataset was developed. Computer-aided evaluation of collaterals can help decision-making of ischemic stroke treatment strategy in clinical settings.
Source: International Journal of Computer Assisted Radiology and Surgery - January 12, 2023 Category: Intensive Care Source Type: research

Lesion-preserving unpaired image-to-image translation between MRI and CT from ischemic stroke patients
ConclusionThe results of this work show that the proposed image-to-image translation method is effective at preserving stroke lesions in unpaired modality translation, supporting its potential as a tool for stroke image analysis in real-life scenarios.
Source: International Journal of Computer Assisted Radiology and Surgery - January 6, 2023 Category: Intensive Care Source Type: research

Ischemic stroke subtyping method combining convolutional neural network and radiomics
CONCLUSION: The experimental results show that the proposed method can effectively predict the subtype of IS and has potential to assist doctors in making timely and accurate diagnoses of IS patients.PMID:36591693 | DOI:10.3233/XST-221284
Source: Journal of X-Ray Science and Technology - January 2, 2023 Category: Radiology Authors: Yang Chen Yiwen He Zhuoyun Jiang Yuanzhong Xie Shengdong Nie Source Type: research

Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning
CONCLUSION: The ischemic core volumes calculated by the described ML approach on NCCT approximate those obtained by MRI in patients with AIS who present beyond 1 hour from stroke onset.PMID:36572984 | DOI:10.1177/15910199221145487
Source: Interventional Neuroradiology - December 27, 2022 Category: Radiology Authors: Iris E Chen Brian Tsui Haoyue Zhang Joe X Qiao William Hsu May Nour Noriko Salamon Luke Ledbetter Jennifer Polson Corey Arnold Mersedeh BahrHossieni Reza Jahan Gary Duckwiler Jeffrey Saver David Liebeskind Kambiz Nael Source Type: research

Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review
Biomed Res Int. 2022 Nov 14;2022:2456550. doi: 10.1155/2022/2456550. eCollection 2022.ABSTRACTIschemic stroke is a cerebrovascular disease with a high morbidity and mortality rate, which poses a serious challenge to human health and life. Meanwhile, the management of ischemic stroke remains highly dependent on manual visual analysis of noncontrast computed tomography (CT) or magnetic resonance imaging (MRI). However, artifacts and noise of the equipment as well as the radiologist experience play a significant role on diagnostic accuracy. To overcome these defects, the number of computer-aided diagnostic (CAD) methods for i...
Source: Biomed Res - November 24, 2022 Category: Research Authors: Liyuan Cui Zhiyuan Fan Yingjian Yang Rui Liu Dajiang Wang Yingying Feng Jiahui Lu Yifeng Fan Source Type: research