Detection of Sub-acute Brain Injury and Hypoxic-ischemic Encephalopathy using I2C2-WGO and CO-GW-RNN.

IF 1.1 4区 医学 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Priyan Malarvizhi Kumar, Wael Korani, Tayyaba Shahwar, Gokulnath C
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引用次数: 0

Abstract

Background: Hypoxic-ischemic encephalopathy (HIE) is a brain injury that is caused by improper oxygen/blood flow. None of the existing works have concentrated on detecting HIE based on the sub-acute injury in the brain.

Objective: To enhance the accuracy and specificity of HIE detection, a comprehensive approach that includes SAI identification, BGT segmentation, and volume calculation will be utilized.

Methods: This study addresses the critical challenge of detecting hypoxic-schemic encephalopathy (HIE) through advanced image processing techniques applied to brain MRI data. The primary research questions focus on the effectiveness of the proposed CO-GW-RNN method in accurately identifying HIE and the impact of incorporating segmentation and clustering processes on detection performance.

Results: The proposed method achieved remarkable results, demonstrating an accuracy of 98.98% and a specificity of 98.17%, significantly outperforming existing techniques such as the RUB classifier (84.6% accuracy) and the DTL method (94.00% accuracy).

Conclusion: These findings validate the effectiveness of the proposed methodology in improving HIE detection in brain MRI images.

应用i22c - wgo和CO-GW-RNN检测亚急性脑损伤和缺氧缺血性脑病。
背景:缺氧缺血性脑病(HIE)是一种由氧/血流量不当引起的脑损伤。现有的研究都没有集中在基于大脑亚急性损伤的HIE检测上。目的:为提高HIE检测的准确性和特异性,采用SAI鉴定、BGT分割、体积计算等综合方法。方法:本研究通过应用于脑MRI数据的先进图像处理技术解决了检测缺氧缺血性脑病(HIE)的关键挑战。主要的研究问题集中在所提出的CO-GW-RNN方法在准确识别HIE方面的有效性,以及结合分割和聚类过程对检测性能的影响。结果:所提出的方法取得了显著的效果,准确率为98.98%,特异性为98.17%,显著优于现有的RUB分类器(准确率为84.6%)和DTL方法(准确率为94.00%)。结论:这些发现验证了所提出的方法在提高脑MRI图像中HIE检测的有效性。
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来源期刊
CiteScore
2.60
自引率
0.00%
发文量
246
审稿时长
1 months
期刊介绍: Current Medical Imaging Reviews publishes frontier review articles, original research articles, drug clinical trial studies and guest edited thematic issues on all the latest advances on medical imaging dedicated to clinical research. All relevant areas are covered by the journal, including advances in the diagnosis, instrumentation and therapeutic applications related to all modern medical imaging techniques. The journal is essential reading for all clinicians and researchers involved in medical imaging and diagnosis.
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