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4D POSITRON EMISSION TOMOGRAPHY IMAGE RECONSTRUCTION BASED ON BIOMECHANICAL RESPIRATORY MOTION

Abstract : Respiratory-induced organ motion is a technical challenge to nuclear imaging and to particle therapy dose calculations for lung cancer treatment in particular. Internal organ tissue dis- placements and deformations induced by breathing need to be taken into account when calculating Monte Carlo dose distri- butions or when performing tomographic reconstructions for PET imaging. This paper proposes a method to reconstruct PET activities over tetrahedral meshes which are deformed based on biomechanical patient specific model of the respi- ratory system to tackle the non reproductibility of the breath- ing. We also describe the adaptation of the popular List-Mode Maximum Likelihood Estimation (LM-MLEM) reconstruc- tion algorithm to motion estimation model using the finite el- ement method (FEM). Our simulations demonstrate the accu- racy of the proposed 4D LM-MLEM reconstruction algorithm based on biomechanical model and its capability to correct motion artifacts due to the breathing.
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https://hal.archives-ouvertes.fr/hal-01267527
Contributor : Hamid Ladjal <>
Submitted on : Thursday, February 4, 2016 - 3:09:38 PM
Last modification on : Tuesday, November 19, 2019 - 2:42:42 AM

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  • HAL Id : hal-01267527, version 1

Citation

Petru Manescu, Hamid Ladjal, Yazid Touileb, Joseph Azencot, Michael Beuve, et al.. 4D POSITRON EMISSION TOMOGRAPHY IMAGE RECONSTRUCTION BASED ON BIOMECHANICAL RESPIRATORY MOTION. IEEE International Symposium on Biomedical Imaging (IEEE ISBI), Apr 2016, Prague, Czech Republic. pp.99-102. ⟨hal-01267527⟩

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