Naser Mohamed A, Patterson Michael S, Wong John W
Department of Medical Physics and Applied Radiation Sciences, McMaster University, 1260 Main St West, Hamilton, ON, L8S 4L8, Canada.
Phys Med Biol. 2014 Apr 21;59(8):2089-109. doi: 10.1088/0031-9155/59/8/2089. Epub 2014 Apr 2.
A reconstruction algorithm for diffuse optical tomography based on diffusion theory and finite element method is described. The algorithm reconstructs the optical properties in a permissible domain or region-of-interest to reduce the number of unknowns. The algorithm can be used to reconstruct optical properties for a segmented object (where a CT-scan or MRI is available) or a non-segmented object. For the latter, an adaptive segmentation algorithm merges contiguous regions with similar optical properties thereby reducing the number of unknowns. In calculating the Jacobian matrix the algorithm uses an efficient direct method so the required time is comparable to that needed for a single forward calculation. The reconstructed optical properties using segmented, non-segmented, and adaptively segmented 3D mouse anatomy (MOBY) are used to perform bioluminescence tomography (BLT) for two simulated internal sources. The BLT results suggest that the accuracy of reconstruction of total source power obtained without the segmentation provided by an auxiliary imaging method such as x-ray CT is comparable to that obtained when using perfect segmentation.
描述了一种基于扩散理论和有限元方法的漫射光学层析成像重建算法。该算法在允许的域或感兴趣区域内重建光学特性，以减少未知数的数量。该算法可用于重建分段物体（有CT扫描或MRI数据）或非分段物体的光学特性。对于后者，一种自适应分割算法将具有相似光学特性的相邻区域合并，从而减少未知数的数量。在计算雅可比矩阵时，该算法使用一种高效的直接方法，因此所需时间与单次正向计算所需时间相当。使用分段、非分段和自适应分段的三维小鼠解剖模型（MOBY）重建的光学特性，用于对两个模拟内部光源进行生物发光层析成像（BLT）。BLT结果表明，在没有诸如X射线CT等辅助成像方法提供的分割的情况下，获得的总源功率重建精度与使用完美分割时相当。
