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Proceedings Paper

Software tools dedicated for an automatic analysis of the CT scanner quality control images
Author(s): Tarraf Torfeh; Stéphane Beaumont; JeanPierre Guédon; Nicolas Normand; Eloïse Denis
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Paper Abstract

This paper deals with the CT scanner images quality control, which is an important part of the quality control process of the CT scanner, which consists of making measurement in images of dedicated phantoms. Standard methods consist of scan explorations of phantoms that contain different specific patterns1, 2. These methods rely on manual measurements with graphics tools in corresponding images (density, position, length...) or automatic measurements developed in softwares3, 4 that use some masks to determine the region of interest (ROI). The problem of these masks is that they may produce wrong results in case of misalignment of the phantom. We propose a new method that consists, firstly of developing software tools that are capable of performing an automated analysis of CT images of three standard phantoms, LAP5 , GEMS6 and CATPHAN6007, in terms of slice thickness, spatial resolution, low and high level contrast, noise and uniformity. The method we have developed is completely automatic because it uses some protocols and special treatments in the images to automatically detect the position and the size of the ROI. Secondly, to test the performances of our software tools, we develop two digital phantoms which reproduce the exact geometry and composition of the physical phantoms, i.e. some perfect CT images of the real phantoms, and a complete set of distorted digital phantoms which represent the "perfect" phantom distorted by noise and blur calibrated functions to test the performances of our automated analysis software.

Paper Details

Date Published: 28 March 2007
PDF: 13 pages
Proc. SPIE 6510, Medical Imaging 2007: Physics of Medical Imaging, 65104G (28 March 2007); doi: 10.1117/12.707343
Show Author Affiliations
Tarraf Torfeh, IRCCyN/IVC, CNRS, Univ. de Nantes (France)
Stéphane Beaumont, QualiFormeD SARL (France)
JeanPierre Guédon, IRCCyN/IVC, CNRS, Univ. de Nantes (France)
Nicolas Normand, IRCCyN/IVC, CNRS, Univ. de Nantes (France)
Eloïse Denis, IRCCyN/IVC, CNRS, Univ. de Nantes (France)

Published in SPIE Proceedings Vol. 6510:
Medical Imaging 2007: Physics of Medical Imaging
Jiang Hsieh; Michael J. Flynn, Editor(s)

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