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Projector and Backprojector for Iterative CT Reconstruction with Blobs using CUDA

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These file attachments have been under embargo and were made available to the public after the embargo was lifted on 25 August 2011.

Author: Bippus, R.D. · Koehler, T. · Bergner, F. · Brendel, B. · Hansis, E. · Proksa, R.
Type:Conference paper
Date:2011-08-25
Embargo lifted:2011-08-25
Institution: Philips Research
Source:Fully 3D 2011: 11th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Potsdam, Germany, 11-15 July 2011
Identifier: MS 32.211
Rights: (c) The Author(s)

Abstract

Aiming at modeling the system’s geometry correctly accounting for the major effects influencing image quality within an iterative reconstruction framework we want to achieve this within reasonable processing times. This principle objective led us to using blobs for imagerepresentation and a dedicated GPU hardware implementation. Making extensive use of the texture interpolation capabilities of CUDA and implementing an asymmetric projector/backprojector pair we achieve reasonable processing times and good system modeling at the same time.We conclude from the above results that using GPUs and adequate implementations of the projectors, iterative reconstruction using blobsfor image representation becomes feasible. This, along with avoiding re-sampling, will allow us to apply detailed system modeling for enhanced resolution/noise tradeoff.

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