Artemii Korobov, Zlata Besedovskaia, Elizaveta Petrova, Alexey Kurnikov, Anna Glyavina, Anna Orlova, Svetlana Nemirova, Irina Druzhkova, Marina Sirotkina, Evgeny Shirshin, Dmitry Gorin, Lei Xi, Daniel Razansky, Pavel Subochev
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引用次数: 0
摘要
血管系统的高效可视化对于肿瘤血管生成、脑血管改变和其他血管疾病的生物医学研究至关重要。光声(OA)血管造影术提供了一种前景广阔的解决方案,它将分子光学对比与超声的高分辨率和深穿透相结合。然而,它的混合性质意味着复杂的数据收集和处理工作流程,不同的开发人员和用户在方法上存在很大差异。为了简化互操作性,我们推出了 SKYQUANT 3D,这是一套基于 Python 的赛默飞世尔科技 Amira/Avizo 3D 可视化与分析软件指令。我们的工作流程简化了对容积光声血管造影图像的批量处理,在提取有意义的定量信息的同时,还提供了统计分析和结果图表。SKYQUANT 3D的定量性能通过临床前和临床活体三维OA血管造影功能测试(涉及环境温度变化和成像肢体的重新定位)进行了验证。
SKYQUANT 3D: Quantifying Vascular Anatomy With an Open-Source Workflow for Comprehensive Analysis of Volumetric Optoacoustic Angiography Data.
Efficient visualization of the vascular system is of key importance in biomedical research into tumor angiogenesis, cerebrovascular alterations, and other angiopathies. Optoacoustic (OA) angiography offers a promising solution combining molecular optical contrast with high resolution and deep penetration of ultrasound. However, its hybrid nature implies complex data collection and processing workflows, with significant variability in methodologies across developers and users. To streamline interoperability, we introduce SKYQUANT 3D, a Python-based set of instructions for the Thermo Fisher Scientific Amira/Avizo 3D Visualization & Analysis Software. Our workflow simplifies the batch processing of volumetric optoacoustic angiography images, extracting meaningful quantitative information while also providing statistical analysis and graphical representation of the results. Quantification performance of SKYQUANT 3D is demonstrated using functional preclinical and clinical in vivo 3D OA angiographic tests involving ambient temperature variations and repositioning of the imaged limb.