In this paper, we describe how to obtain optimized tomographic images by acquiring a limited number of projection images from a limited angle of view. A classical algebraic method has been modified to eliminate typical artifacts introduced at the image boundaries. Experimental results are reported in the field of maxillo-facial radiology; they demonstrate that the proposed method produces images of high quality valuable for planning and following-up the results of implantology operations.

Optimized algebraic local tomogragphy / I. Frosio, N.A. Borghese. ((Intervento presentato al 5. convegno Convegno Biennale dei Soci GIRPR 2010 tenutosi a Ascea, SA, Italy nel 2010.

Optimized algebraic local tomogragphy

I. Frosio
Primo
;
N.A. Borghese
Secondo
2010

Abstract

In this paper, we describe how to obtain optimized tomographic images by acquiring a limited number of projection images from a limited angle of view. A classical algebraic method has been modified to eliminate typical artifacts introduced at the image boundaries. Experimental results are reported in the field of maxillo-facial radiology; they demonstrate that the proposed method produces images of high quality valuable for planning and following-up the results of implantology operations.
2010
dental local tomography ; artifact suppression ; algebraic reconstruction techniques ; ordered subset ; equalization.
Settore INF/01 - Informatica
Settore ING-INF/06 - Bioingegneria Elettronica e Informatica
http://www.dmi.unisa.it/GIRPR2010/7.%20DSI%20Milano%20(Frosio).pdf
Optimized algebraic local tomogragphy / I. Frosio, N.A. Borghese. ((Intervento presentato al 5. convegno Convegno Biennale dei Soci GIRPR 2010 tenutosi a Ascea, SA, Italy nel 2010.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/155270
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