Classification and Location of Cerebral Hemorrhage Points Based on SEM and SSA-GA-BP Neural Network

In this paper, a method to fast classify (Intradural hemorrhage, epidural hemorrhage, and cerebral parenchymal hemorrhage) and locate the bleeding points by using the Singularity Expansion Method (SEM) and Backpropagation (BP) neural network optimized by genetic algorithm (GA) and Sparrow Search Alg...

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Veröffentlicht in:IEEE transactions on instrumentation and measurement Jg. 73; S. 1
Hauptverfasser: Li, Qinwei, Wang, Lunxiao, Lu, Xiaoguang, Ding, Dequan, Zhao, Yang, Wang, Jianwei, Li, Xinze, Wu, Hang, Zhang, Guang, Yu, Ming, Han, Ping
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York IEEE 01.01.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Accuracy
Back propagation networks
Biological neural networks
Bleeding
Brain modeling
Classification
Classification of cerebral hemorrhage
Computer simulation
Electromagnetics
Genetic algorithms
Hemorrhage
Hemorrhaging
Localization
Localization of cerebral hemorrhage
Magnetic resonance imaging
Microwave devices
Microwave imaging
Microwave signal
Neural networks
Search algorithms
Simulation models
Singularity Expansion Method (SEM)
Sparrow Search Algorithm-Genetic algorithm-back propagation (SSA-GA-BP) neural network
ISSN:0018-9456, 1557-9662
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Zusammenfassung:In this paper, a method to fast classify (Intradural hemorrhage, epidural hemorrhage, and cerebral parenchymal hemorrhage) and locate the bleeding points by using the Singularity Expansion Method (SEM) and Backpropagation (BP) neural network optimized by genetic algorithm (GA) and Sparrow Search Algorithm (SSA) is proposed. In the simulation model, the bleeding spot with a radius of 3 mm is successfully identified by the approach. The test accuracy in the simulation for both the bleeding's localization and classification are 98.0% and 97.4%, respectively. Head phantoms that have all been improved over the previous phantom established are used for experiments. A bleeding target with a volume of 3 ml can be identified in the microwave detection system. In the experiment, the accuracy of classification and localization of the bleeding type are 90% and 94.7%, respectively. The final results demonstrate the capability and effectiveness of the method. Faster determination of bleeding point type and orientation means that patients can be provided with different rescue measures accordingly.
Bibliographie:ObjectType-Article-1
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ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2023.3348908