ArticleFrontiers in neurorobotics2021
Magnetic Resonance Imaging Image Segmentation Under Artificial Intelligence Neural Network for Evaluation of the Effect of Butyphthalide Combined With Edaravone on Neurological Function in Patients With Acute Cerebral Infarction.
Article in Frontiers in neurorobotics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 5 citations in OpenAlex.
- Edaravone: Advances on cytoprotective effects, pharmacological properties, and mechanisms of action.Pharmacological reviews · 2026Review
- Efficacy of Butylphthalide in Combination with Edaravone in the Treatment of Acute Ischemic Stroke and the Effect on Serum Inflammatory Factors.Disease markers · 2023Article
- Acupuncture at GV20 and ST36 Improves the Recovery of Behavioral Activity in Rats Subjected to Cerebral Ischemia/Reperfusion Injury.Frontiers in behavioral neuroscience · 2022Article
- Effect of Butylphthalide combined with Oxiracetam on cognitive function, Intellectual recovery and serum inflammatory factors in patients with cognitive impairment after cerebral infarction.Pakistan journal of medical sciencesArticle
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
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Abstract
This research was developed to investigate the effect of artificial intelligence neural network-based magnetic resonance imaging (MRI) image segmentation on the neurological function of patients with acute cerebral infarction treated with butylphthalide combined with edaravone. Eighty patients with acute cerebral infarction were selected as the research subjects, and the MRI images of patients with acute cerebral infarction were segmented by convolutional neural networks (CNN) upgraded algorithm model. MRI images of patients before and after treatment of butylphthalide combined with edaravone were compared to comprehensively evaluate the efficacy of this treatment. The results showed that compared with the traditional CNN algorithm, the running time of the CNN upgraded algorithm adopted in this study was significantly shorter, and the Loss value was lower than that of the traditional CNN model. Upgraded CNN model can realize accurate segmentation of cerebral infarction lesions in MRI images of patients. In addition, the degree of cerebral infarction and the degree of arterial stenosis were significantly improved after treatment with butylphthalide and edaravone. Compared with that before treatment, the number of patients with severe cerebral infarction or even vascular stenosis decreased significantly (
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