Towards deep iterative-reconstruction algorithms for computed tomography (CT) applications

2019 ◽  
Author(s):  
Abhejit Rajagopal ◽  
Shivkumar Chandrasekaran ◽  
Joyoni Dey ◽  
Michael A. King ◽  
Noah Stier
Keyword(s):  
Computed Tomography ◽  
Iterative Reconstruction ◽  
Reconstruction Algorithms

scholarly journals Evaluation of Algebraic Iterative Image Reconstruction Methods for Tetrahedron Beam Computed Tomography Systems

2013 ◽  
Vol 2013 ◽  
pp. 1-14
Author(s):  
Joshua Kim ◽  
Huaiqun Guan ◽  
David Gersten ◽  
Tiezhi Zhang
Keyword(s):  
Computed Tomography ◽  
Iterative Reconstruction ◽  
Cone Angle ◽  
Iterative Algorithms ◽  
Projection Data ◽  
Reconstruction Algorithms ◽  
Reconstruction Methods ◽  
Large Cone Angle ◽  
Using Data ◽  
Dual Detector

Tetrahedron beam computed tomography (TBCT) performs volumetric imaging using a stack of fan beams generated by a multiple pixel X-ray source. While the TBCT system was designed to overcome the scatter and detector issues faced by cone beam computed tomography (CBCT), it still suffers the same large cone angle artifacts as CBCT due to the use of approximate reconstruction algorithms. It has been shown that iterative reconstruction algorithms are better able to model irregular system geometries and that algebraic iterative algorithms in particular have been able to reduce cone artifacts appearing at large cone angles. In this paper, the SART algorithm is modified for the use with the different TBCT geometries and is tested using both simulated projection data and data acquired using the TBCT benchtop system. The modified SART reconstruction algorithms were able to mitigate the effects of using data generated at large cone angles and were also able to reconstruct CT images without the introduction of artifacts due to either the longitudinal or transverse truncation in the data sets. Algebraic iterative reconstruction can be especially useful for dual-source dual-detector TBCT, wherein the cone angle is the largest in the center of the field of view.

Comparing five different iterative reconstruction algorithms for computed tomography in an ROC study

2014 ◽  
Vol 24 (12) ◽  
pp. 2989-3002 ◽  
Author(s):  
Kristin Jensen ◽  
Anne Catrine T. Martinsen ◽  
Anders Tingberg ◽  
Trond Mogens Aaløkken ◽  
Erik Fosse
Keyword(s):  
Computed Tomography ◽  
Iterative Reconstruction ◽  
Reconstruction Algorithms

LOW-DOSE COMPUTED TOMOGRAPHY OF THE PARANASAL SINUSES: PERFORMANCE OF TWO DIFFERENT ITERATIVE RECONSTRUCTION ALGORITHMS

2018 ◽  
Vol 183 (3) ◽  
pp. 386-392 ◽  
Author(s):  
Lars-Arne Schaafs ◽  
Julian Pfeil ◽  
Torsten Köhlitz ◽  
Bernd Hamm ◽  
Stefan Markus Niehues
Keyword(s):  
Computed Tomography ◽  
Paranasal Sinuses ◽  
Iterative Reconstruction ◽  
Low Dose ◽  
Reconstruction Algorithms ◽  
Low Dose Computed Tomography
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