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2023 | OriginalPaper | Buchkapitel

Three-Dimensional Model of Cerebral Artery Based on Medical Image

verfasst von : Zhengmin Gu, Feitong Xie, Boyan Li, Lushan Wan, Dong Xiao

Erschienen in: Biomedical and Computational Biology

Verlag: Springer International Publishing

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Abstract

Cerebrovascular disease, which is one of the primary sources of harm to human health, may not only cause symptoms such as cerebral hemorrhage and cerebral hypoxia-ischemia but also result in disability and even death in severe cases. Medical imaging of the brain plays an essential role in cerebrovascular surgery of clinical medicine. The modeling of three-dimensional (3D) medical images allows doctors to better understand the patient’s condition to improve the probability of successful surgery. However, the cerebral vessels are extremely complex. It is hard to reconstruct a realistic cerebral vessel model which should be consistent with the real human anatomy. The paper introduces a method for reconstructing 3D models of cerebral arteries based on Mimics 21.0 and Computed Tomography Angiography (CTA) images of different sequences. A clear 3D model of cerebral arteries with complete structure and obvious details can be obtained after threshold segmentation, image import, Boolean operation, 3D calculation, etc., and segmented, meshed, or exported for other analyzes such as fluid mechanics, simulated surgery, and more.

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Metadaten
Titel
Three-Dimensional Model of Cerebral Artery Based on Medical Image
verfasst von
Zhengmin Gu
Feitong Xie
Boyan Li
Lushan Wan
Dong Xiao
Copyright-Jahr
2023
DOI
https://doi.org/10.1007/978-3-031-25191-7_8

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