Jetzfellner Thomas, Rosenthal Amir, Buehler Andreas, Dima Alexander, Englmeier Karl-Hans, Ntziachristos Vasilis, Razansky Daniel
Institute for Biological and Medical Imaging (IBMI), Technical University of Munich and Helmholtz Center Munich, Ingolstaedter Landstr. 1, 85764 Neuherberg, Germany.
J Opt Soc Am A Opt Image Sci Vis. 2010 Nov 1;27(11):2488-95. doi: 10.1364/JOSAA.27.002488.
Quantification of tissue morphology and biomarker distribution by means of optoacoustic tomography is an important and longstanding challenge, mainly caused by the complex heterogeneous structure of biological tissues as well as the lack of accurate and robust reconstruction algorithms. The recently introduced model-based inversion approaches were shown to mitigate some of reconstruction artifacts associated with the commonly used back-projection schemes, while providing an excellent platform for obtaining quantified maps of optical energy deposition in experimental configurations of various complexity. In this work, we introduce a weighted model-based approach, capable of overcoming reconstruction challenges caused by per-projection variations of object's illumination and other partial illumination effects. The universal weighting procedure is equally shown to reduce reconstruction artifacts associated with other experimental imperfections, such as non-uniform transducer sensitivity fields. Significant improvements in image fidelity and quantification are showcased both numerically and experimentally on tissue phantoms and mice.
通过光声断层扫描对组织形态和生物标志物分布进行量化是一项重要且长期存在的挑战，主要原因是生物组织复杂的异质结构以及缺乏准确且稳健的重建算法。最近引入的基于模型的反演方法已被证明可减轻一些与常用反投影方案相关的重建伪影，同时为在各种复杂程度的实验配置中获取光能量沉积的量化图提供了一个出色的平台。在这项工作中，我们引入了一种基于加权模型的方法，该方法能够克服由物体照明的逐投影变化和其他部分照明效应引起的重建挑战。同样表明，通用加权程序可减少与其他实验缺陷（如换能器灵敏度场不均匀）相关的重建伪影。在组织模型和小鼠上，通过数值和实验展示了图像保真度和量化方面的显著改进。
