The Radon Transform - Theory and Implementation
The Radon Transform - Theory and Implementation
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发表时间:
1996-11
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通讯作者:
P. Toft
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作者:
P. Toft
The subject of this Ph D thesis is the mathematical Radon transform which is well suited for curve detection in digital images and for reconstruction of tomography images The thesis is divided into two main parts Part I describes the Radon and the Hough transform and especially their discrete approxim ations with respect to curve parameter detection in digital images The sampling relationships of the Radon transform is reviewed from a digital signal processing point of view The discrete Radon transform is investigated for detection of curves and aspects regarding the performance of the Radon transform assuming various types of noise is covered Furthermore a new fast scheme for estimating curve parameters is presented Part II of the thesis describes the inverse Radon transform in D and D with focus on re construction of tomography images Some of the direct reconstruction schemes are analyzed including their discrete implementation Furthermore several iterative reconstruction schemes based on linear algebra are reviewed and applied for reconstruction of Positron Emission Tomo graphy PET images A new and very fast implementation of D iterative reconstruction methods is devised In a more practical oriented chapter the noise in PET images is modelled from a very large number of measurements Several packages for Radon and Hough transform based curve detection and direct iterative D and D reconstruction have been developed and provided for free