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Modeling and Image Reconstruction in Spectrally Resolved Bioluminescence Tomography

机译:光谱分辨生物发光层析成像中的建模和图像重建

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摘要

Recent interest in modeling and reconstruction algorithms for Bioluminescence Tomography (BLT) has increased and led to the general consensus that non-spectrally resolved intensity-based BLT results in a non-unique problem. However, the light emitted from, for example firefly Luciferase, is widely distributed over the band of wavelengths from 500 nm to 650 nm and above, with the dominant fraction emitted from tissue being above 550 nm. This paper demonstrates the development of an algorithm used for multi-wavelength 3D spectrally resolved BLT image reconstruction in a mouse model. It is shown that using a single view data, bioluminescence sources of up to 15 mm deep can be successfully recovered given correct information about the underlying tissue absorption and scatter.
机译:最近对生物发光层析成像(BLT)的建模和重建算法的兴趣增加了,并引起了普遍的共识,即基于光谱的非光谱分辨BLT会导致非唯一性问题。然而,例如萤火虫萤光素酶发出的光广泛分布在从500 nm至650 nm及以上的波长范围内,其中从组织发出的主要成分在550 nm以上。本文演示了用于在小鼠模型中进行多波长3D光谱分辨BLT图像重建的算法的开发。结果表明,只要获得有关底层组织吸收和散射的正确信息,就可以使用单视图数据成功地恢复深达15 mm的生物发光源。

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