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不同光源类型下颅骨对嵌入血管的多层脑组织光声成像的影响:建模与仿真

Skull Impact on Photoacoustic Imaging of Multi-Layered Brain Tissues with Embedded Blood Vessel Under Different Optical Source Types: Modeling and Simulation.

作者信息

Yang Xi, Chai Chengpeng, Chen Yun-Hsuan, Sawan Mohamad

机构信息

CenBRAIN Neurotech Center of Excellence, School of Engineering, Westlake University, Hangzhou 310030, China.

Institute of Advanced Technology, Westlake Institute for Advanced Study, Hangzhou 310024, China.

出版信息

Bioengineering (Basel). 2025 Jan 7;12(1):40. doi: 10.3390/bioengineering12010040.

DOI:10.3390/bioengineering12010040
PMID:39851314
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11761585/
Abstract

Skulls with high optical scattering and acoustic attenuation are a great challenge for photoacoustic imaging for human beings. To explore and improve photoacoustic generation and propagation, we conducted the photoacoustic simulation and image reconstruction of the multi-layer brain model with an embedded blood vessel under different optical source types. Based on the optical simulation results under different types of optical sources, we explored the characteristics of reconstructed images obtained from acoustic simulations with and without skull conditions. Specifically, we focused on the detection of blood vessels and evaluated the image reconstruction features, morphological characteristics, and intensity of variations in the target vessels using optical and acoustic simulations. The results showed that under the initial PA signals, the types of optical source types corresponding to the strongest and weakest photoacoustic signals at different positions within the target region were consistent, while the optical source types were different in the reconstructed images. This study revealed the characteristics of acoustic signal transmission with and without skull conditions and its impact on image reconstruction. It further provides a theoretical basis for the selection of optical sources.

摘要

对于人类而言,具有高光散射和声学衰减特性的头骨对光声成像构成了巨大挑战。为了探索和改进光声产生与传播,我们针对具有嵌入血管的多层脑模型在不同光源类型下进行了光声模拟和图像重建。基于不同类型光源下的光学模拟结果,我们探究了在有无头骨条件下声学模拟所得重建图像的特征。具体而言,我们聚焦于血管检测,并利用光学和声学模拟评估了目标血管的图像重建特征、形态特征以及强度变化。结果表明,在初始光声信号下,目标区域内不同位置对应最强和最弱光声信号的光源类型是一致的,但在重建图像中光源类型有所不同。本研究揭示了有无头骨条件下声学信号传输的特征及其对图像重建的影响。它进一步为光源的选择提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/7cfa674c6034/bioengineering-12-00040-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/4d5f237cbeb5/bioengineering-12-00040-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/3f65e0dafb46/bioengineering-12-00040-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/9ea14eea2536/bioengineering-12-00040-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/9f1fc185a5fd/bioengineering-12-00040-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/ba2271f1bb81/bioengineering-12-00040-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/f8c75a61648d/bioengineering-12-00040-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/50f4f62b976d/bioengineering-12-00040-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/7cfa674c6034/bioengineering-12-00040-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/4d5f237cbeb5/bioengineering-12-00040-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/3f65e0dafb46/bioengineering-12-00040-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/9ea14eea2536/bioengineering-12-00040-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/9f1fc185a5fd/bioengineering-12-00040-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/ba2271f1bb81/bioengineering-12-00040-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/f8c75a61648d/bioengineering-12-00040-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/50f4f62b976d/bioengineering-12-00040-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c78b/11761585/7cfa674c6034/bioengineering-12-00040-g008.jpg

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本文引用的文献

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Removing Artifacts in Transcranial Photoacoustic Imaging With Polarized Self-Attention Dense-UNet.基于偏振自注意力密集型 U-Net 的颅外光声成像去噪。
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Photoacoustic digital brain and deep-learning-assisted image reconstruction.
光声数字脑与深度学习辅助图像重建
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