Constrained <formula formulatype="inline"><tex Notation="TeX">${\rm T}p{\rm V}$</tex> </formula> Minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction

Constrained <formula formulatype="inline"><tex Notation="TeX">${\rm T}p{\rm V}$</tex> </formula> Minimization for Enhanced Exploitation of Gradient Sparsity: Application to CT Image Reconstruction

Exploiting sparsity in the image gradient magnitude has proved to be an effective means for reducing the sampling rate in the projection view angle in computed tomography (CT). Most of the image reconstruction algorithms, developed for this purpose, solve a nonsmooth convex optimization problem invo...

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Bibliographic Details
Main Authors: Emil Y. Sidky, Rick Chartrand, John M. Boone, Xiaochuan Pan
Format: Article
Language:English
Published: IEEE 2014-01-01
Series:IEEE Journal of Translational Engineering in Health and Medicine
Subjects:
Computed tomography
X-ray tomography
image reconstruction
iterative algorithms
optimization
Online Access:https://ieeexplore.ieee.org/document/6714374/

Internet

https://ieeexplore.ieee.org/document/6714374/

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