Bentley Alexander, Rowe Jonathan E, Dehghani Hamid
School of Computer Science, College of Engineering and Physical Sciences, University of Birmingham, UK.
Physical Sciences for Health Doctoral Training Centre, College of Engineering and Physical Sciences, University of Birmingham, UK.
Biomed Opt Express. 2020 Oct 16;11(11):6428-6444. doi: 10.1364/BOE.401671. eCollection 2020 Nov 1.
Photonics based pre-clinical imaging is an extensively used technique to allow for the study of biologically relevant activity typically within a small-mouse model. Namely, bioluminescent tomography (BLT) attempts to tomographically reconstruct the 3-dimensional spatial light distribution of luminophores within a small animal given surface light measurements and known underlying optical parameters. Often it is the case where these optical parameters are unknown leading to the use of a 'best' guess approach or to direct measurements using either a multi-modal or dedicated system. Using these conventional approaches can lead to both inaccurate results and extending periods of imaging time. This work introduces the development of an algorithm that is used to accurately localize the spatial light distribution from a bioluminescence source within a subject by simultaneously reconstructing both the underlying optical properties and source spatial distribution and intensity from the same set of surface measurements. Through its application in 2- and 3-dimensional, homogeneous and heterogenous numerical models, it is demonstrated that the proposed algorithm is capable of replicating results as compared to 'gold' standard where the absolute optical properties are known. Additionally, the algorithm has been applied to experimental data using a tissue mimicking block phantom, recovering a spatial light distribution that has a localization error of ∼1.53 mm, which is better than previously published results without the need of assumptions regarding the underlying optical properties or source distribution.
基于光子学的临床前成像技术是一种广泛应用的技术,用于在小型小鼠模型中研究具有生物学意义的活动。具体而言,生物发光断层扫描(BLT)试图根据表面光测量和已知的潜在光学参数,对小动物体内发光体的三维空间光分布进行断层重建。通常情况下,这些光学参数是未知的,这就导致使用“最佳猜测”方法或使用多模态或专用系统进行直接测量。使用这些传统方法可能会导致结果不准确以及成像时间延长。这项工作介绍了一种算法的开发,该算法通过从同一组表面测量数据中同时重建潜在的光学特性、光源空间分布和强度,来准确地定位受试者体内生物发光源的空间光分布。通过在二维和三维、均匀和非均匀数值模型中的应用,结果表明,与已知绝对光学特性的“金标准”相比,该算法能够复制结果。此外,该算法已应用于使用组织模拟块状体模的实验数据,恢复了空间光分布,其定位误差约为1.53毫米,这比之前发表的结果要好,且无需对潜在光学特性或光源分布进行假设。