Quadratic Regularization Design for 2-D CT
Volume: 28, Issue: 5, Pages: 645 - 656
Published: May 1, 2009
Abstract
Statistical methods for tomographic image reconstruction have improved noise and spatial resolution properties that may improve image quality in X-ray computed tomography (CT). Penalized weighted least squares (PWLS) methods using conventional quadratic regularization lead to nonuniform and anisotropic spatial resolution due to interactions between the
Paper Details
Title
Quadratic Regularization Design for 2-D CT
Published Date
May 1, 2009
Volume
28
Issue
5
Pages
645 - 656
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