Zhao Yanyu, Tabassum Syeda, Piracha Shaheer, Nandhu Mohan Sobhana, Viapiano Mariano, Roblyer Darren
Boston University, Department of Biomedical Engineering, 44 Cummington Mall, Boston, Massachusetts 02215, USA.
Boston University, Department of Electrical & Computer Engineering, 8 Saint Mary's Street, Boston, Massachusetts 02215, USA.
Biomed Opt Express. 2016 May 24;7(6):2373-84. doi: 10.1364/BOE.7.002373. eCollection 2016 Jun 1.
Spatial frequency domain imaging (SFDI) is a widefield imaging technique that allows for the quantitative extraction of tissue optical properties. SFDI is currently being explored for small animal tumor imaging, but severe imaging artifacts occur for highly curved surfaces (e.g. the tumor edge). We propose a modified Lambertian angle correction, adapted from the Minnaert correction method for satellite imagery, to account for tissue surface angles up to 75°. The method was tested in a hemisphere phantom study as well as a small animal tumor model. The proposed method reduced µa and µs` extraction errors by an average of 64% and 16% respectively compared to performing no angle correction, and provided more physiologically agreeable optical property and chromophore values on tumors.
空间频域成像（SFDI）是一种宽场成像技术，可用于定量提取组织光学特性。目前正在探索将SFDI用于小动物肿瘤成像，但对于高度弯曲的表面（如肿瘤边缘）会出现严重的成像伪影。我们提出了一种改进的朗伯角校正方法，该方法改编自用于卫星图像的米纳尔特校正方法，以考虑高达75°的组织表面角度。该方法在半球体模研究以及小动物肿瘤模型中进行了测试。与不进行角度校正相比，所提出的方法分别将µa和µs`提取误差平均降低了64%和16%，并在肿瘤上提供了更符合生理的光学特性和发色团值。
