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Fast and accurate projection algorithm for 3D cone-beam reconstruction with the Algebraic Reconstruction Technique (ART)
Author(s) -
Klaus Mueller,
Roni Yagel,
John J. Wheller
Publication year - 1998
Publication title -
proceedings of spie, the international society for optical engineering/proceedings of spie
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.192
H-Index - 176
eISSN - 1996-756X
pISSN - 0277-786X
DOI - 10.1117/12.317078
Subject(s) - computer science , projection (relational algebra) , projector , context (archaeology) , algorithm , perspective (graphical) , voxel , iterative reconstruction , computer vision , focus (optics) , artificial intelligence , computer graphics (images) , optics , paleontology , physics , biology
The prime motivation of this work is to devise a projection algorithm that makes the Algebraic Reconstruction Tech- nique (ART) and related methods more efficient for routine clinical use without compromising their accuracy. While we focus mostly on a fast implementation of ART-type methods in the context of 3D cone-beam reconstruction, most of the material presented here is also applicable to speed up 2D slice reconstruction from fan-beam data. In this paper, we utilize the concepts of the splatting algorithm, which is a well known and very efficient voxel-driven projection technique for parallel projection, and devise an extension for perspective cone-beam projection that is con- siderably more accurate than previously outlined extensions. Since this new voxel-driven splatting algorithm must make great sacrifices with regards to computational speed, we describe a new 3D ray-driven projector that uses similar concepts than the voxel-driven projector but is considerably faster, and, at the same time, also more accurate. We con- clude that with the proposed fast projection algorithm the computational cost of cone-beam ART can be reduced sig- nificantly with the added benefit of slight gains in accuracy. A further conclusion of our studies is that for parallel-beam reconstruction, on the other hand, a simple voxel-driven splatting algorithm provides for more efficient projection.

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