Monte Carlo-Based Optimization of Multi-Source Illumination for Photoacoustic Signal Generation in Human Gray-Matter Vessels

IF 2 3区物理与天体物理 Q3 BIOCHEMICAL RESEARCH METHODS

Journal of Biophotonics Pub Date : 2026-09-17 DOI:10.1002/jbio.70364

Jun Tong, Haiyan Han, Yuanhong Zhang, Yuai Shen, Zhixuan Wang, Xi Yang

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引用次数: 0

Abstract

Effective excitation of cerebrovascular photoacoustic signals is limited by superficial tissue attenuation and illumination geometry. This paper proposes a multi-source illumination evaluation method for gray-matter vessel targets based on Monte Carlo light transport and photoacoustic initial-pressure calculation using a simplified multilayer brain model for screening and a Tissue Probability Map (TPM) brain model for validation. The dual Collimated Gaussian source with 15° symmetric incidence along the Y direction performed best in the regular layered model, whereas the dual Pencil Array source with 20° symmetric incidence along the Y direction was optimal in the TPM model. These results suggest that regular layered models are suitable for preliminary screening, but the final illumination scheme should be revalidated under anatomical constraints. This study provides a theoretical reference for optimizing optical-source configurations in human brain photoacoustic imaging.

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基于蒙特卡罗的人类灰质血管光声信号多源照明优化。

脑血管光声信号的有效激发受到表层组织衰减和光照几何的限制。本文提出了一种基于蒙特卡罗光输运和光声初始压力计算的灰质血管目标多源照明评价方法，采用简化的多层脑模型进行筛选，并采用组织概率图（TPM）脑模型进行验证。在规则分层模型中，沿Y方向15°对称入射的双准直高斯源表现最佳，而沿Y方向20°对称入射的双铅笔阵列源在TPM模型中表现最佳。这些结果表明，规则的分层模型适用于初步筛选，但最终的照明方案应在解剖约束下重新验证。该研究为优化人脑光声成像的光源配置提供了理论参考。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Biophotonics 生物-生化研究方法

CiteScore

5.70

自引率

7.10%

发文量

248

审稿时长

1 months

期刊介绍： The first international journal dedicated to publishing reviews and original articles from this exciting field, the Journal of Biophotonics covers the broad range of research on interactions between light and biological material. The journal offers a platform where the physicist communicates with the biologist and where the clinical practitioner learns about the latest tools for the diagnosis of diseases. As such, the journal is highly interdisciplinary, publishing cutting edge research in the fields of life sciences, medicine, physics, chemistry, and engineering. The coverage extends from fundamental research to specific developments, while also including the latest applications.