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

David Sarrut 1 Bertrand Delhay 1 Pierre-Frédéric Villard 2 Vlad Boldea 3 Michael Beuve 4, 2 Patrick Clarysse 1
1 CREATIS - Centre de Recherche et d'Application en Traitement de l'Image et du Signal
2 SAARA - Simulation, Analyse et Animation pour la Réalité Augmentée
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
3 imagine - Extraction de Caractéristiques et Identification
LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 IPNL - Institut de Physique Nucléaire de Lyon
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.
Keywords : validation Deformable registration validation. thorax radiotherapy
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Journal articles
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https://hal.inria.fr/hal-00973183
Contributor : Pierre-Frédéric Villard <>
Submitted on : Friday, April 4, 2014 - 8:08:24 AM
Last modification on : Wednesday, July 8, 2020 - 12:43:49 PM

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CNRS | EC-LYON | IN2P3 | LIRIS | TDS-MACS | INSA-LYON | UNIV-LYON1 | CREATIS | INSA-GROUPE | UNIV-LYON2 | IP2I | UDL

Citation

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. ⟨10.1109/TMI.2007.901006⟩. ⟨hal-00973183⟩

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