Introduction to Inverse Problems
Introduction to Inverse ProblemsGuillaume Bal1July 2, 20191University of Chicago, Chicago, IL 60637; What is an Inverse Elements of anInverse problem . . . . . . . . . . . . . . . . . . . . . . . and stability of the Measurement Operator . . . . . . . model and Prior model . . . . . . . . . . . . . . . . . . . . algorithms . . . . . . . . . . . . . . . . . . . . . . . . . Examples of Measurement Operator . . . . . . . . . . . . . . . . . . . . . IP and Modeling. Application to MRI . . . . . . . . . . . . . . . . . . . Inverse Problems , Smoothing, and ill-posedness . . . . . . . . . . . . . . Problems and Lipschitz Stability. . . . . . . . . . . . . Problems and Unbounded Operators.
model, prior model). In section1.3, three di erent models of MO are obtained in a simpli ed setting of Magnetic Resonance Imaging, one of the most successful medical imaging modality. Once a MO has been selected and proved to be injective, we need to understand how its inversion ampli es noise. Typically, di culties in inverse problems arise ...
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