A Comparison Framework for Breathing Motion Estimation Methods From 4-D Imaging

Abstract : Motion estimation is an important issue in radia- tion therapy of moving organs. In particular, motion estimates from 4-D imaging can be used to compute the distribution of an absorbed dose during the therapeutic irradiation. We propose a strategy and criteria incorporating spatiotemporal information to evaluate the accuracy of model-based methods capturing breathing motion from 4-D CT images. This evaluation relies on the identification and tracking of landmarks on the 4-D CT images by medical experts. Three different experts selected more than 500 landmarks within 4-D CT images of lungs for three patients. Landmark tracking was performed at four instants of the expi- ration phase. Two metrics are proposed to evaluate the tracking performance of motion-estimation models. The first metric cumu- lates over the four instants the errors on landmark location. The second metric integrates the error over a time interval according to an a priori breathing model for the landmark spatiotemporal trajectory. This latter metric better takes into account the dy- namics of the motion. A second aim of this paper is to estimate the impact of considering several phases of the respiratory cycle as compared to using only the extreme phases (end-inspiration and end-expiration). The accuracy of three motion estimation models (two image registration-based methods and a biomechanical method) is compared through the proposed metrics and statistical tools. This paper points out the interest of taking into account more frames for reliably tracking the respiratory motion.
Type de document :
Article dans une revue
IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2007, 26 (12), pp.1636-1648. 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4359025〉. 〈10.1109/TMI.2007.901006〉
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https://hal.inria.fr/hal-00973183
Contributeur : Pierre-Frédéric Villard <>
Soumis le : vendredi 4 avril 2014 - 08:08:24
Dernière modification le : mardi 16 janvier 2018 - 16:08:32

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David Sarrut, Bertrand Delhay, Pierre-Frédéric Villard, Vlad Boldea, Michael Beuve, et al.. A Comparison Framework for Breathing Motion Estimation Methods From 4-D Imaging. IEEE Transactions on Medical Imaging, Institute of Electrical and Electronics Engineers, 2007, 26 (12), pp.1636-1648. 〈http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=4359025〉. 〈10.1109/TMI.2007.901006〉. 〈hal-00973183〉

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