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뇌동맥류 파열 위험성 예측을 위한 혈류 역학 기반 딥러닝 모델
양현동(Hyeondong Yang),조광천(Kwang-Chun Cho),김정재(Jung-Jae Kim),김재호(Jae Ho Kim),김용배(Yong Bae Kim),오제훈(Je Hoon Oh) 대한기계학회 2021 대한기계학회 춘추학술대회 Vol.2021 No.11
Cerebral aneurysms should be treated before rupture because ruptured cerebral aneurysms result in serious disability. Therefore, accurate rupture risk prediction is important and has been estimated using various hemodynamic factors. Our study aimed to suggest a new way to predict rupture risk in cerebral aneurysms using a deep learning model based on hemodynamic factors. A convolutional neural network (CNN) was utilized for rupture risk prediction for 123 aneurysm cases. To train the effect of hemodynamic parameters on the CNN, the hemodynamic parameters were first calculated using computational fluid dynamics and fluid-structure interaction. Then, they were converted into images for training the CNN using a novel approach. In addition, new data augmentation methods were devised to obtain sufficient training data. A deep learning algorithm based on hemodynamic factors, including WSS and strain, could be an effective tool for predicting rupture risk in cerebral aneurysms with good predictive accuracy.
신뢰성 있는 뇌동맥류 치료 시뮬레이터를 위한 인공 뇌혈관 제작
김연우(Yeon Woo Kim),양현동(Hyeondong Yang),오제훈(Je Hoon Oh) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Vascular replicas are effective platforms that can simulate endovascular interventions in the treatment of intracranial aneurysm (IA), and an IA typically forms in the tortuously structured cerebral artery circulation known as the circle of Willis (CoW). Effective and reliable endovascular procedure simulation before actual clinical treatment is greatly helpful for neurosurgeons, but the simulation performance depends on how identical a CoW replica is to a patient’s CoW. Here, we fabricated a tubular, transparent, and patient-specific CoW replica with realistic dimensions and elasticity using a layer-by-layer coating method. We first constructed a real-scale CoW core substrate using an extrusion-based 3D printing technology, then coated it layer by layer to manipulate vascular wall thickness, and finally dissolved the core substrate to produce a tubular CoW structure. After fabricating the CoW replica, we demonstrated the endovascular procedure simulation using a newly-developed neurointerventional endovascular simulator to check the effectiveness of the CoW replica.
신뢰성 있는 뇌동맥류 치료 시뮬레이터를 위한 인공 뇌혈관 제작
김연우(Yeon Woo Kim),양현동(Hyeondong Yang),오제훈(Je Hoon Oh) 대한기계학회 2022 대한기계학회 춘추학술대회 Vol.2022 No.11
Vascular replicas are effective platforms that can simulate endovascular interventions in the treatment of intracranial aneurysm (IA), and an IA typically forms in the tortuously structured cerebral artery circulation known as the circle of Willis (CoW). Effective and reliable endovascular procedure simulation before actual clinical treatment is greatly helpful for neurosurgeons, but the simulation performance depends on how identical a CoW replica is to a patient’s CoW. Here, we fabricated a tubular, transparent, and patient-specific CoW replica with realistic dimensions and elasticity using a layer-by-layer coating method. We first constructed a real-scale CoW core substrate using an extrusion-based 3D printing technology, then coated it layer by layer to manipulate vascular wall thickness, and finally dissolved the core substrate to produce a tubular CoW structure. After fabricating the CoW replica, we demonstrated the endovascular procedure simulation using a newly-developed neurointerventional endovascular simulator to check the effectiveness of the CoW replica.