scholarly journals Disjoint sparsity for signal separation and applications to hybrid inverse problems in medical imaging

2017 ◽  
Vol 42 (2) ◽  
pp. 319-349 ◽  
Author(s):  
Giovanni S. Alberti ◽  
Habib Ammari
2021 ◽  
Vol 69 ◽  
pp. 101967
Author(s):  
Chang Min Hyun ◽  
Seong Hyeon Baek ◽  
Mingyu Lee ◽  
Sung Min Lee ◽  
Jin Keun Seo

Author(s):  
Agah Drajat Garnadi ◽  
Muhammad Ilyas ◽  
M.T. Julianto ◽  
S. Nurdiati

In this article we present a SCILAB implementation of algebraic iterative reconstruction methods for discretisation of inverse problems in imaging. These so-called row action methods rely on semi-convergence for achieving the necessary regularisation of the problem. We implement this method using SCILAB and provide a few simplified test problems: medical tomography, seismic tomography and walnut tomography.Numerical results show the capability of this method for the original and perturbed right-hand side vector.


2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Kiwoon Kwon

Unique determination issues about inverse problems for elliptic partial differential equations in divergence form are summarized and discussed. The inverse problems include medical imaging problems including electrical impedance tomography (EIT), diffuse optical tomography (DOT), and inverse scattering problem (ISP) which is an elliptic inverse problem closely related with DOT and EIT. If the coefficient inside the divergence is isotropic, many uniqueness results are known. However, it is known that inverse problem with anisotropic coefficients has many possible coefficients giving the same measured data for the inverse problem. For anisotropic coefficient with anomaly with or without jumps from known or unknown background, nonuniqueness of the inverse problems is discussed and the relation to cloaking or illusion of the anomaly is explained. The uniqueness and nonuniqueness issues are discussed firstly for EIT and secondly for ISP in similar arguments. Arguing the relation between source-to-detector map and Dirichlet-to-Neumann map in DOT and the uniqueness and nonuniqueness of DOT are also explained.


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