Sparse Bayesian reconstruction method for multispectral bioluminescence tomography
文件大小: 4762k
源码售价: 10 个金币 积分规则     积分充值
资源说明:We present a sparse Bayesian reconstruction method based on multiple types of a priori information for multispectral bioluminescence tomography (BLT). In the Bayesian approach, five kinds of a priori information are incorporated, reducing the ill-posedness of BLT. Specifically, source sparsity characteristic is considered to promote reconstruction results. Considering the computational burden in the multispectral case, a series of strategies is adopted to improve computational efficiency, such a
本源码包内暂不包含可直接显示的源代码文件,请下载源码包。