Bioluminescence tomography with structural information estimated via statistical mouse atlas registration.
Bioluminescence tomography with structural information estimated via statistical mouse atlas registration.
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DOI：
10.1364/boe.9.003544
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发表时间：
2018-07
影响因子：
3.4
通讯作者：
Bin Zhang;Wanzhou Yin;Hao Liu;Xu Cao;Hongkai Wang
中科院分区：
文献类型：
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作者：
Bin Zhang;Wanzhou Yin;Hao Liu;Xu Cao;Hongkai Wang
由于生物发光断层成像（BLT）重建的不适定性和被低估的特性，通常结合从计算机断层成像（CT）或磁共振成像（MRI）获得的先验解剖信息来提高重建精度。器官需要分割，这是耗时和具有挑战性的，特别是对于低对比度的CT图像。为了提高异构模型生成的效率和目标定位的准确性，本文提出了一种基于统计小鼠图谱的BLT重建方法。首先将小鼠的低对比度CT图像配准到具有小鼠表面和高对比度器官（骨和肺）的约束的统计小鼠图谱模型。然后，通过统计学小鼠图谱模型自动确定其他器官，如肝脏和肾脏。然后将估计的器官离散成四面体网格用于BLT重建。通过最小化正则化函数（L1范数+带光滑因子的L2范数），采用线性化Bregman方法求解BLT稀疏反问题。数值模拟和活体实验结果表明，即使器官定位不完全准确，该方法也能有效、准确地重建生物光源。该方法将大大有利于混合BLT/CT系统的生物发光光源定位。
Due to an ill-posed and underestimated characteristic of bioluminescence tomography (BLT) reconstruction, a priori anatomical information obtained from computed tomography (CT) or magnetic resonance imaging (MRI), is usually incorporated to improve the reconstruction accuracy. The organs need to be segmented, which is time-consuming and challenging, especially for the low-contrast CT images. In this paper, we present a BLT reconstruction method based on a statistical mouse atlas to improve the efficiency of heterogeneous model generation and the accuracy of target localization. The low-contrast CT image of the mouse was first registered to the statistical mouse atlas model with the constraints of mouse surface and high-contrast organs (bone and lung). Then the other organs, such as the liver and kidney, were determined automatically through the statistical mouse atlas model. The estimated organs were then discretized into tetrahedral meshes for BLT reconstruction. The linearized Bregman method was used to solve the sparse inverse problem of BLT by minimizing the regularization function (L1 norm plus L2 norm with smooth factor). Both numerical simulations and in vivo experiments were conducted, and the results demonstrate that even though the localization of the estimated organs may not be exactly accurate, the proposed method is feasible to reconstruct the bioluminescent source effectively and accurately with the estimated organs. This method would greatly benefit the bioluminescent light source localization for hybrid BLT/CT systems.