正则化生物发光断层成像的差分进化算法。
Differential evolution approach for regularized bioluminescence tomography.
机构信息
Department of Electrical and Computer Engineering,Virginia Polytechnic Institute and State University, Blacksburg, VA 24060, USA.
出版信息
IEEE Trans Biomed Eng. 2010 Sep;57(9):2229-38. doi: 10.1109/TBME.2010.2041452. Epub 2010 Feb 17.
Abstract
Bioluminescence tomography (BLT) is an inverse source problem that localizes and quantifies bioluminescent probe distribution in 3-D. The generic BLT model is ill-posed, leading to nonunique solutions and aberrant reconstruction in the presence of measurement noise and optical parameter mismatches. In this paper, we introduce the knowledge of the number of bioluminescence sources to stabilize the BLT problem. Based on this regularized BLT model, we develop a differential evolution-based reconstruction algorithm to determine the source locations and strengths accurately and reliably. Then, we evaluate this novel approach in numerical, phantom, and mouse studies.
摘要
生物发光断层成像（BLT）是一种反源问题，可在 3D 中定位和量化生物发光探针的分布。通用的 BLT 模型不适定，导致在存在测量噪声和光学参数不匹配的情况下出现非唯一解和异常重建。在本文中，我们引入了生物发光源数量的知识来稳定 BLT 问题。基于这个正则化的 BLT 模型，我们开发了一种基于差分进化的重建算法，以准确可靠地确定源的位置和强度。然后，我们在数值、体模和小鼠研究中评估了这种新方法。
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