Machine learning for detecting early infarction in acute stroke with non–contrast-enhanced CT

W Qiu, H Kuang, E Teleg, JM Ospel, SI Sohn… - Radiology, 2020 - pubs.rsna.org
Background Identifying the presence and extent of infarcted brain tissue at baseline plays a
crucial role in the treatment of patients with acute ischemic stroke (AIS). Patients with …

Computational image analysis of nonenhanced computed tomography for acute ischaemic stroke: a systematic review

P Mikhail, MGD Le, G Mair - Journal of Stroke and Cerebrovascular …, 2020 - Elsevier
Background Noncontrast enhanced computed tomography (NCCT) remains the most
common method for brain imaging patients who present acutely with ischaemic stroke …

Rapid assessment of acute ischemic stroke by computed tomography using deep convolutional neural networks

CM Lo, PH Hung, DT Lin - Journal of Digital Imaging, 2021 - Springer
Acute stroke is one of the leading causes of disability and death worldwide. Regarding
clinical diagnoses, a rapid and accurate procedure is necessary for patients suffering from …

ASPECTS (Alberta Stroke Program Early CT Score) measurement using Hounsfield unit values when selecting patients for stroke thrombectomy

M Mokin, CT Primiani, AH Siddiqui, AS Turk - Stroke, 2017 - Am Heart Assoc
Background and Purpose—The ASPECTS (Alberta Stroke Program Early CT Score) is a
quantitate score that measures the extent of early ischemic changes. Our aim was to …

Multivariate analysis of ischaemic lesions using Computed Tomography and CT Perfusion Imaging: Critical review

S Gudadhe, A Thakare - Computer Methods in Biomechanics and …, 2023 - Taylor & Francis
Stroke is characterised as a cerebrovascular disease, which acts as the key factor of
mortality and permanent disabilities. Ischaemic stroke is observed as a widespread stroke …

Localization of early infarction on non-contrast CT images in acute ischemic stroke with deep learning approach

S Mohapatra, TH Lee, PK Sahoo, CY Wu - Scientific Reports, 2023 - nature.com
Localization of early infarction on first-line Non-contrast computed tomogram (NCCT) guides
prompt treatment to improve stroke outcome. Our previous study has shown a good …

[HTML][HTML] Detecting brain lesions in suspected acute ischemic stroke with CT-based synthetic MRI using generative adversarial networks

N Hu, T Zhang, Y Wu, B Tang, M Li, B Song… - Annals of …, 2022 - ncbi.nlm.nih.gov
Background Difficulties in detecting brain lesions in acute ischemic stroke (AIS) have
convinced researchers to use computed tomography (CT) to scan for and magnetic …

Automated estimation of ischemic core volume on noncontrast-enhanced CT via machine learning

IE Chen, B Tsui, H Zhang, JX Qiao… - Interventional …, 2022 - journals.sagepub.com
Background Accurate estimation of ischemic core on baseline imaging has treatment
implications in patients with acute ischemic stroke (AIS). Machine learning (ML) algorithms …

Ischemic infarct detection, localization, and segmentation in noncontrast CT human brain scans: review of automated methods

WL Nowinski, J Walecki, G Półtorak-Szymczak… - PeerJ, 2020 - peerj.com
Noncontrast Computed Tomography (NCCT) of the brain has been the first-line diagnosis for
emergency evaluation of acute stroke, so a rapid and automated detection, localization …

A relative noncontrast CT map to detect early ischemic changes in acute stroke

A Srivatsan, S Christensen… - Journal of …, 2019 - Wiley Online Library
ABSTRACT BACKGROUND AND PURPOSE Early ischemic changes on noncontrast
computed tomography (NCCT) are often subtle. We developed a novel postprocessing …