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A Review of MRI Acute Ischemic Stroke Lesion Segmentation
2020
International Journal of Integrated Engineering
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The focus of the review is mainly on the segmentation algorithms of infarct core with penumbra and infarct core only. ...
The ischemic penumbra indicates the part that is located around the infarct core that is at risk of developing a brain infarction. ...
Acknowledgement The author, Abang Mohd Arif Anaqi would like to acknowledge the support from Yayasan Sarawak for the financial support through the Yayasan Tun Taib (Research) scholarship. ...
doi:10.30880/ijie.2020.12.06.014
fatcat:fc2523wverb5jht4nc6vehdlvq
Prediction of Tissue Damage Using a User-Independent Machine Learning Algorithm vs. Tmax Threshold Maps
2021
Clinical and Translational Neuroscience
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In cases where the FDA-cleared segmentation was not interpretable due to improper definitions of the arterial input function, the decision forest provided reliable results; (4) Conclusions: The prediction ...
Final infarct volume was determined on a routine follow-up MRI or CT at 90 days after the stroke; (3) Results: Compared to the reference standard (infarct volume after 90 days), the decision forest algorithm ...
The segmentation was performed on a slice-by-slice basis in regions with a Tmax delay of >6 s to calculate the penumbra volume. These constraints were defined as ground truth for penumbra. ...
doi:10.3390/ctn5030021
fatcat:6r3ufnvqpzhf3ilhexlkkdd5ka
Technical considerations of multi-parametric tissue outcome prediction methods in acute ischemic stroke patients
2019
Scientific Reports
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This study considers random decision forest, generalized linear model, and k-nearest-neighbor machine learning classifiers in conjunction with three data normalization approaches (non-normalized, relative ...
This study gives comprehensive consideration to these factors by comparing the agreement of voxel-based tissue outcome predictions using acute imaging and clinical parameters with manual lesion segmentations ...
Acknowledgements The authors would like to thank the Heart and Stroke Foundation of Canada for Grant in aid support for this study. ...
doi:10.1038/s41598-019-49460-y
pmid:31519923
pmcid:PMC6744509
fatcat:pcq5x47hhzhybaarsreyo3anoq
A Review on Computer Aided Diagnosis of Acute Brain Stroke
2021
Sensors
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The discovery that the affected brain tissue (i.e., 'ischemic penumbra') can be salvaged from permanent damage and the bourgeoning growth in computer aided diagnosis has led to major advances in stroke ...
Abiding to the Preferred Reporting Items for Systematic Review and Meta–Analyses (PRISMA) guidelines, we have surveyed a total of 177 research papers published between 2010 and 2021 to highlight the current ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21248507
pmid:34960599
pmcid:PMC8707263
fatcat:zc4gtjhkoje2jotcqr5gvlatu4
ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI
2017
Medical Image Analysis
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We approached this urgent problem of comparability with the Ischemic Stroke Lesion Segmentation (ISLES) challenge organized in conjunction with the MICCAI 2015 conference. ...
A total of 16 research groups participated with a wide range of state-ofthe-art automatic segmentation algorithms. ...
Thresholding is clearly not a suitable approach for penumbra estimation. ...
doi:10.1016/j.media.2016.07.009
pmid:27475911
pmcid:PMC5099118
fatcat:mmmolbl4dzbbzibtjh7nmot6hm
Learning to Predict Ischemic Stroke Growth on Acute CT Perfusion Data by Interpolating Low-Dimensional Shape Representations
2018
Frontiers in Neurology
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on acute perfusion data, yielding a Dice score overlap of 0.46 for predictions from expert segmentations of core and penumbra. ...
The predictions are physiologically constrained to a shape embedding that encodes a continuous progression between the core and penumbra extents. ...
ACKNOWLEDGMENTS We would like to thank Nvidia Corporation for providing us with a Titan Xp graphics card. ...
doi:10.3389/fneur.2018.00989
pmid:30534108
pmcid:PMC6275324
fatcat:htgdlkeqajhobliepeb5tlcota
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
2018
Frontiers in Neurology
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The Ischemic Stroke Lesion Segmentation (ISLES) challenge, which has ran now consecutively for 3 years, aims to address this problem of comparability. ...
The annotated data set remains publicly available and new approaches can be compared directly via the online evaluation system, serving as a continuing benchmark (www.isles-challenge.org). ...
A.2.1.1. Acknowledgments We would like the acknowledge the GPU computing resources provided by the MGH and BWH Center for Clinical Data Science.
A.2.10.1. Acknowledgments ...
doi:10.3389/fneur.2018.00679
pmid:30271370
pmcid:PMC6146088
fatcat:fpjctcngobblpkzeror2fpsncu
Tissue at Risk and Ischemic Core Estimation Using Deep Learning in Acute Stroke
2021
American Journal of Neuroradiology
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We explored 3 approaches: 1) separate: train 2 independent models with patients with minimal and major reperfusion; 2) pretraining: develop a single model using patients with partial and unknown reperfusion ...
Deep learning models with fine-tuning lead to better performance for predicting tissue at risk and ischemic core, outperforming conventional thresholding methods. ...
ACKNOWLEDGMENTS We appreciate the statistical consultation provided by Jarrett Rosenberg, PhD, and Tie Liang, EdD, Radiologic Sciences Laboratory, Department of Radiology, Stanford University. ...
doi:10.3174/ajnr.a7081
pmid:33766823
pmcid:PMC8191664
fatcat:t4utbhndwbhv3avqyoopl4tmzy
Treatment Efficacy Analysis in Acute Ischemic Stroke Patients Using In Silico Modeling Based on Machine Learning: A Proof-of-Principle
2021
Biomedicines
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This contribution proposes a machine learning-based in silico study design to evaluate new devices more quickly with a small sample size. ...
Three treatment option-specific random forest models were trained to predict the one-week follow-up lesion segmentation for (1) patients successfully recanalized using intra-arterial mechanical thrombectomy ...
These voxel-level imaging parameters have historically been used to determine tissue viability using a threshold-based approach that segments the affected tissue into three compartments: (1) the ischemic ...
doi:10.3390/biomedicines9101357
pmid:34680474
fatcat:grds7l2egfayzbix7wx62pnsvu
Artificial Intelligence and Acute Stroke Imaging
2020
American Journal of Neuroradiology
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Artificial intelligence technology is a rapidly expanding field with many applications in acute stroke imaging, including ischemic and hemorrhage subtypes. ...
Artificial intelligence can help with various aspects of the stroke treatment paradigm, including infarct or hemorrhage detection, segmentation, classification, large vessel occlusion detection, Alberta ...
ACKNOWLEDGMENTS The authors thank Aidoc, Avicenna, Brainomix, RapidAI, and Viz.ai for providing information regarding commercially available products and sample images of their applications for publication ...
doi:10.3174/ajnr.a6883
pmid:33243898
pmcid:PMC7814792
fatcat:uwvjtq42ejfzjoi46eqlublmya
Machine learning and acute stroke imaging
2022
Journal of NeuroInterventional Surgery
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Additional applications and further integration with clinical care is inevitable. Thus, facility with these approaches is critical for the neurointerventional clinician. ...
Imaging inputs have included non-contrast head CT, CT angiograph and MRI, with a range of performances. ...
For brain imaging application, the brain is isolated using segmentation algorithms. 3. Registration. The image is aligned to a common space, either with rigid or non-rigid approaches. ...
doi:10.1136/neurintsurg-2021-018142
pmid:35613840
fatcat:rm5zfnd2vzdx5lekjnjmah7cza
Diffusion-Weighted Imaging-Alone Endovascular Thrombectomy Triage in Acute Stroke: Simulating Diffusion-Perfusion Mismatch Using Machine Learning
2022
Journal of Stroke
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First, the diffusion-weighted imaging (DWI) lesion was automatically detected and segmented using a trained U-Net model. ...
Diffusion-weighted imaging (DWI) and perfusion-weighted imaging (PWI) in magnetic resonance imaging (MRI) are used to estimate ischemic core and penumbra volumes in patients with acute ischemic stroke. ...
Inner_ADCr_interval 15 Volume in each ADC ratio interval in the inner brain region: (0.00-0.06), (0.06-0.12), (0.12-0.18), (0.18-0.24), (0.24-0.30), (0.30-0.36), (0.36-0.42), (0.42-0.48), (0.48-0.54), ...
doi:10.5853/jos.2021.02817
pmid:35135068
pmcid:PMC8829488
fatcat:xbjouq5hkvgdnmrex75xmn6ole
Prediction of Clinical Outcome in Patients with Large-Vessel Acute Ischemic Stroke: Performance of Machine Learning versus SPAN-100
2021
American Journal of Neuroradiology
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A retrospective multicenter cohort of 1431 patients with acute ischemic stroke was subdivided into recanalized and nonrecanalized patients. ...
The model with the best-performing features had a better performance than the other machine learning models. ...
Automatic segmentation of ischemic core and penumbra volumes was performed on the basis of previously published thresholds. 22 The sidedness of cerebral ischemia was evaluated as well. ...
doi:10.3174/ajnr.a6918
pmid:33414230
pmcid:PMC7872172
fatcat:vwysuuxp65er5pepzjjtfd4bjm
Systematic review protocol to assess artificial intelligence diagnostic accuracy performance in detecting acute ischaemic stroke and large-vessel occlusions on CT and MR medical imaging
2021
BMJ Open
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We will disseminate our findings by publishing our analysis in a peer-reviewed journal and, if required, we will communicate with the stakeholders of the studies and bibliographic databases.PROSPERO registration ...
as a summary of results.Ethics and disseminationThere are no ethical considerations associated with this study protocol, as the systematic review focuses on the examination of secondary data. ...
Similarly, in MRP cases, a threshold of <4-6 s is applied to the Tmax map to compute the penumbra volume. ...
doi:10.1136/bmjopen-2020-043665
pmid:33692180
fatcat:ij72c5yuqzcvhpbn4zhkhb5mhm
MR Images, Brain Lesions, and Deep Learning
2021
Applied Sciences
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segmentation of ischemic and demyelinating lesions. ...
For the selection criteria, we used bibliometric networks. Of a total of 140 documents, we selected 38 articles that deal with the main objectives of this study. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app11041675
fatcat:ivwi2tp52ngstdoelbsjglhem4
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