Xu Yong, Pei Yaling, Graber Harry L, Barbour Randall L
SUNY Downstate Medical Center, Department of Pathology, Box 25, 450 Clarkson Avenue, Brooklyn, New York 11203, USA.
J Biomed Opt. 2005 Sep-Oct;10(5):051701. doi: 10.1117/1.2103747.
We present the fourth in a series of studies devoted to the issue of improving image quality in diffuse optical tomography (DOT) by using a spatial deconvolution operation that seeks to compensate for the information-blurring property of first-order perturbation algorithms. Our earlier reports consider only static target media. Here we report spatial deconvolution applied to media with time-varying optical properties, as a model of tissue dynamics resulting from varying metabolic demand and modulation of the vascular bed. Issues under study include the influence of deconvolution on the accuracy of the recovered temporal and spatial information. The impact of noise is also explored, and techniques for ameliorating its information-degrading effects are examined. At low noise levels (i.e, < or = 5% of the time-varying signal amplitude), spatial deconvolution markedly improves the accuracy of recovered information. Temporal information is more seriously degraded by noise than is spatial information, and the impact of noise increases with the complexity of the time-varying signal. These effects, however, can be significantly reduced using simple noise suppression techniques (e.g., low-pass filtering). Results suggest that the deconvolution scheme should provide considerable enhancement of the quality of spatiotemporal information recovered from dynamic DOT techniques applied to tissue studies.
我们展示了一系列研究中的第四项研究，该系列研究致力于通过使用空间去卷积操作来提高漫射光学层析成像（DOT）中的图像质量，这种操作旨在补偿一阶微扰算法的信息模糊特性。我们早期的报告仅考虑静态目标介质。在此，我们报告将空间去卷积应用于具有随时间变化光学特性的介质，以此作为由代谢需求变化和血管床调节导致的组织动力学模型。所研究的问题包括去卷积对恢复的时间和空间信息准确性的影响。还探讨了噪声的影响，并研究了减轻其信息降解效应的技术。在低噪声水平（即，小于或等于时变信号幅度的5%）下，空间去卷积显著提高了恢复信息的准确性。时间信息比空间信息更容易受到噪声的严重降解，并且噪声的影响随着时变信号的复杂性增加而增大。然而，使用简单的噪声抑制技术（例如，低通滤波）可以显著降低这些影响。结果表明，去卷积方案应该能显著提高从应用于组织研究的动态DOT技术中恢复的时空信息的质量。
