Optoelectronic implementation of helical cone-beam computed tomography algorithms

Morgan Madec; Jean-Baptiste Fasquel; Wilfried Uhring; Pascal Yvon Joffre; Yannick Herve

doi:10.1117/1.2931691

1 May 2008 Optoelectronic implementation of helical cone-beam computed tomography algorithms

Morgan Madec, Jean-Baptiste Fasquel, Wilfried Uhring, Pascal Yvon Joffre, Yannick Herve

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Optical Engineering, Vol. 47, Issue 5, 058201 (May 2008). https://doi.org/10.1117/1.2931691

Abstract

This paper presents a hybrid processor dedicated to the reconstruction algorithm in multislice spiral computed tomography. The described architecture focuses on the advanced single-slice rebinning algorithm, which is a basic 2-D-to-3-D rebinning method developed in 2000. The hybrid processor is composed of four cores (rebinning, filtering, backprojection, and interpolation), including an optical processor for the backprojection. The system is modeled with a multi-abstraction-level approach. The model permits one to evaluate the dependence of both the reconstruction quality and the computation time with different parameters (reconstruction parameters, device features, etc.). It is used in a substantial simulation process allowing the identification of predominant degradation sources and the evaluation of their impact, and leading to the specification of each subsystem. A prototype of each core has been realized. The optical core has been identified as the most critical element, although results are very encouraging. This study has underlined that a computational speedup of more than two orders of magnitude could be reached. This is expected to be very useful for future challenging applications in the field of image-guided computer-assisted surgery, where the reconstruction rate would become critical to ensuring acceptable responsiveness.

©(2008) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Morgan Madec, Jean-Baptiste Fasquel, Wilfried Uhring, Pascal Yvon Joffre, and Yannick Herve "Optoelectronic implementation of helical cone-beam computed tomography algorithms," Optical Engineering 47(5), 058201 (1 May 2008). https://doi.org/10.1117/1.2931691

Published: 1 May 2008

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KEYWORDS

Digital signal processing

Reconstruction algorithms

Optoelectronics

Computed tomography

Distortion

Signal to noise ratio

Electro optical modeling

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