Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm
نویسندگان
چکیده
منابع مشابه
Image reconstruction for diffuse optical tomography using sparsity regularization and expectation-maximization algorithm.
We present an image reconstruction method for diffuse optical tomography (DOT) by using the sparsity regularization and expectation-maximization (EM) algorithm. Typical image reconstruction approaches in DOT employ Tikhonov-type regularization, which imposes restrictions on the L(2) norm of the optical properties (absorption/scattering coefficients). It tends to cause a blurring effect in the r...
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متن کاملDiffuse optical tomography: image reconstruction and verification.
INTRODUCTION In this study, we intend to use diffuse optical Tomography (DOT) as a noninvasive, safe and low cost technique that can be considered as a functional imaging method and mention the importance of image reconstruction in accuracy and procession of image. One of the most important and fastest methods in image reconstruction is the boundary element method (BEM). This method is introduc...
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ژورنال
عنوان ژورنال: Optics Express
سال: 2007
ISSN: 1094-4087
DOI: 10.1364/oe.15.013695