title: Development of a 4D numerical chest phantom with customizable breathing.
abstract: Respiratory movement information is useful for radiation therapy, and is generally obtained using 4D scanners (4DCT). In the interest of patient safety, reducing the use of 4DCT could be a significant step in reducing radiation exposure, the effects of which are not well documented. The authors propose a customized 4D numerical phantom representing the organ contours. Firstly, breathing movement can be simulated and customized according to the patient's anthroporadiametric data. Using learning sets constituted by 4D scanners, artificial neural networks can be trained to interpolate the lung contours corresponding to an unknown patient, and then to simulate its respiration. Lung movement during the breathing cycle is modeled by predicting the lung contours at any respiratory phases. The interpolation is validated comparing the obtained lung contours with 4DCT via Dice coefficient. Secondly, a preliminary study of cardiac and œsophageal motion is also presented to demonstrate the flexibility of this approach. The application may simulate the position and volume of the lungs, the œsophagus and the heart at every phase of the respiratory cycle with a good accuracy: the validation of the lung modeling gives a Dice index greater than 0.93 with 4DCT over a breath cycle.
authors.affiliation: IRMA/Chrono-Environnement Laboratory, UMR CNRS 6249, University of Bourgogne Franche-Comté, France. Electronic address: pierre_emmanuel.leni@univ-fcomte.fr.
authors.forename: Pierre-Emmanuel
authors.initials: PE
authors.lastname: Leni
authors.affiliation: IRMA/Chrono-Environnement Laboratory, UMR CNRS 6249, University of Bourgogne Franche-Comté, France.
authors.forename: Rémy
authors.initials: R
authors.lastname: Laurent
authors.affiliation: FEMTO-ST Laboratory, UMR CNRS 6174, University of Bourgogne Franche-Comté, France.
authors.forename: Michel
authors.initials: M
authors.lastname: Salomon
authors.affiliation: IRMA/Chrono-Environnement Laboratory, UMR CNRS 6249, University of Bourgogne Franche-Comté, France.
authors.forename: Régine
authors.initials: R
authors.lastname: Gschwind
authors.affiliation: IRMA/Chrono-Environnement Laboratory, UMR CNRS 6249, University of Bourgogne Franche-Comté, France.
authors.forename: Libor
authors.initials: L
authors.lastname: Makovicka
authors.affiliation: IRMA/Chrono-Environnement Laboratory, UMR CNRS 6249, University of Bourgogne Franche-Comté, France.
authors.forename: Julien
authors.initials: J
authors.lastname: Henriet
mesh_terms: D004867:Equipment Design; D004947:Esophagus / Q000000981:diagnostic imaging / Q000502:physiology; D056973:Four-Dimensional Computed Tomography / Q000295:instrumentation*; D006321:Heart / Q000000981:diagnostic imaging / Q000502:physiology; D008168:Lung / Q000000981:diagnostic imaging / Q000502:physiology; D009068:Movement; D016571:Neural Networks, Computer; D019047:Phantoms, Imaging; D012119:Respiration
keywords: Artificial neural network; Breath simulation; Phantoms; Radiation physics