Paper Info
Title
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 displacements and deformations induced by breathing need to be taken into account when calculating Monte Carlo dose distributions 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 respiratory system to tackle the non reproductibility of the breathing. We also describe the adaptation of the popular List-Mode Maximum Likelihood Estimation (LM-MLEM) reconstruction algorithm to motion estimation model using the finite element method (FEM). Our simulations demonstrate the accuracy of the proposed 4D LM-MLEM reconstruction algorithm based on biomechanical model and its capability to correct motion artifacts due to the breathing.
Year
DOI
Venue
2016
10.1109/ISBI.2016.7493220
2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI)
Keywords
Field
DocType
Positron Emission Tomography,respiratory system,tetrahedral grid,finite element method
Computer vision,Monte Carlo method,Particle therapy,Computer science,Organ Motion,Finite element method,Reconstruction algorithm,Breathing,Artificial intelligence,Positron emission tomography,Motion estimation
Conference
ISSN
Citations 
PageRank 
1945-7928
0
0.34
References 
Authors
3
6
Name
Order
Citations
PageRank
Petru Manescu131.62
Hamid Ladjal2246.18
Yazid Touileb300.68
Joseph Azencot442.05
Michael Beuve5255.32
Behzad Shariat63910.71