Attenuation correction synthesis for hybrid PET-MR scanners: Application to brain studies
Résumé
Attenuation correction is an essential requirement for quantification of positron emission tomography (PET) data. In PET/CT acquisition systems, attenuation maps are derived from computed tomography (CT) images. However, in hybrid PET/MR scanners, magnetic resonance imaging (MRI) images do not directly provide a patient-specific attenuation map. The aim of the proposed work is to improve attenuation correction for PET/MR scanners by generating synthetic CTs and attenuation maps. The synthetic images are generated through a multi-atlas information propagation scheme, locally matching the MRI-derived patient's morphology to a database of MRI/CT pairs, using a local image similarity measure. Results show significant improvements in CT synthesis and PET reconstruction accuracy when compared to a segmentation method using an ultrashort-echo-time MRI sequence and to a simplified atlas-based method.
Mots clés
Attenuation
positron emission tomography
magnetic resonance imaging
medical image processing
biomedical MRI
image matching
neurophysiology
image reconstruction
Image synthesis
Computed tomography
Attenuation correction
Bones
computerised tomography
positron emission tomography/magnetic resonance (PET/MR)
Databases
0
Accuracy
attenuation correction improvement
attenuation correction synthesis
biomedical equipment
brain study application
computed tomography image
CT synthesis
data acquisition
database of MRI-CT pair matching
hybrid PET-MR scanner
local image similarity measure
MRI image
MRI-derived patient morphology matching
multi-atlas information propagation scheme
patient-specific attenuation map
PET reconstruction accuracy
PET-CT acquisition system
positron emission tomography data quantification
segmentation method
simplified atlas-based method
synthetic attenuation map generation
synthetic CT image generation
ultrashort-echo-time MRI sequence
visual databases
brain