A phantom study of the accuracy of CT, MR and PET image registrations with a block matching-based algorithm

Aurélie Isambert 1 Guillaume Bonniaud F. Lavielle Grégoire Malandain 2, * Dimitri Lefkopoulos 1
* Auteur correspondant
1 Physique médicale
Département de radiothérapie [Gustave Roussy]
2 ASCLEPIOS - Analysis and Simulation of Biomedical Images
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : PURPOSE: The aim of the present study was to quantitatively assess the performance of a block matching-based automatic registration algorithm integrated within the commercial treatment planning system designated ISOgray from Dosisoft. The accuracy of the process was evaluated by a phantom study on computed tomography (CT), magnetic resonance (MR) and positron emission tomography (PET) images. MATERIALS AND METHODS: Two phantoms were used to carry out this study: the cylindrical Jaszczak phantom and the anthropomorphic Liqui-Phil Head Phantom (the Phantom Laboratory), containing fillable spheres. External fiducial markers were used to quantify the accuracy of 41 CT/CT, MR/CT and PET/CT automatic registrations with images of the rotated and tilted phantoms. RESULTS: The study first showed that a cylindrical phantom was not adapted for the evaluation of the performance of a block matching-based registration software. Secondly, the Liqui-Phil Head Phantom study showed that the algorithm was able to perform automatic registrations of CT/CT and MR/CT images with differences of up to 40 degrees in phantom rotation and of up to 20-30 degrees for PET/CT with accuracy below the image voxel size. CONCLUSION: The study showed that the block matching-based automatic registration software under investigation was robust, reliable and yielded very satisfactory results. This phantom-based test can be integrated into a periodical quality assurance process and used for any commissioning of image registration software for radiation therapy.
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https://hal.inria.fr/inria-00616066
Contributeur : Project-Team Asclepios <>
Soumis le : vendredi 19 août 2011 - 19:13:16
Dernière modification le : lundi 5 février 2018 - 10:18:01

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Aurélie Isambert, Guillaume Bonniaud, F. Lavielle, Grégoire Malandain, Dimitri Lefkopoulos. A phantom study of the accuracy of CT, MR and PET image registrations with a block matching-based algorithm. Cancer Radiothérapie, Elsevier Masson, 2008, 12 (8), pp.800-8. 〈10.1016/j.canrad.2008.04.009〉. 〈inria-00616066〉

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