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A Posteriori Correction for Source Decay in 3D Bioluminescent Source Localization Using Multiview Measured Data

机译:使用MultiView测量数据对3D生物发光源定位源衰减的后验校正

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As a novel optical molecular imaging technique, bioluminescence tomography (BLT) can be used to monitor the biological activities non-invasively at the cellular and molecular levels. In most of known BLT studies, however, the time variation of the bioluminescent source is neglected. It gives rise to the inconsistent views during the multiview continuous wave measurement. In other words, the real measured data from different measured views come from `different' bioluminescent sources. It could bring large errors in bioluminescence reconstruction. In this paper, a posteriori correction strategy for adaptive FEM-based reconstruction is proposed and developed. The method helps to improve the source localization considering the bioluminescent energy variance during the multiview measurement. In the method, the correction for boundary signals by means of a posteriori correction strategy, which adopts the energy ratio of measured data in the overlapping domains between the adjacent measurements as the correcting factor, can eliminate the effect of the inconsistent views. Then the adaptive mesh refinement with a posteriori error estimation helps to improve the precision and efficiency of BLT reconstruction. In addition, a priori permissible source region selection based on the surface measured data further reduces the ill-posedness of BLT and enhances numerical stability. Finally, three-dimension numerical simulations using the heterogeneous phantom are performed. The numerically measured data is generated by Monte Carlo (MC) method which is known as the Gold standard and can avoid the inverse crime. The reconstructed result with correction shows more accuracy compared to that without correction.
机译:作为一种新型光学分子成像技术,可以使用生物发光断层扫描(BLT)来在细胞和分子水平下非侵入地监测生物活性。然而,在大多数已知的BLT研究中,忽略了生物发光源的时间变化。它在多视图连续波测量过程中产生了不一致的视图。换句话说,来自不同测量视图的实际测量数据来自`不同的'生物发光源。它可以在生物发光重建中带来大错误。本文提出和开发了一种自适应FEM基础重建的后验校正策略。该方法有助于提高考虑在多视图测量期间的生物发光能量方差的源定位。在该方法中,借助于后验校正策略的边界信号的校正,其采用与校正因子之间的重叠域中的重叠域中的测量数据的能量比可以消除不一致视图的效果。然后,具有后验误差估计的自适应网格细化有助于提高BLT重建的精度和效率。另外,基于表面测量数据的先验允许源区选择进一步降低了BLT的不良姿势并增强了数值稳定性。最后,执行使用异质幻像的三维数值模拟。数值测量的数据由蒙特卡罗(MC)方法产生,称为金标准,可以避免逆犯罪。与校正的重建结果相比,与没有校正的情况相比,更准确。

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