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Attenuation correction synthesis for hybrid PET-MR scanners: Application to brain studies
Abstract : 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.
Keywords :
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
https://hal.inria.fr/hal-01827217
Contributor : Ninon Burgos Connect in order to contact the contributor
Submitted on : Sunday, July 1, 2018 - 10:43:02 PM
Last modification on : Friday, December 4, 2020 - 2:30:01 PM
Contributor : Ninon Burgos Connect in order to contact the contributor
Submitted on : Sunday, July 1, 2018 - 10:43:02 PM
Last modification on : Friday, December 4, 2020 - 2:30:01 PM
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