Direct Patlak Reconstruction from Dynamic PET Data Using the Kernel Method with MRI Information Based on Structural Similarity
Journal
IEEE Transactions on Medical Imaging
Journal Volume
37
Journal Issue
4
Pages
955-965
Date Issued
2018
Author(s)
Abstract
Positron emission tomography (PET) is a functional imaging modality widely used in oncology, cardiology, and neuroscience. It is highly sensitive, but suffers from relatively poor spatial resolution, as compared with anatomical imaging modalities, such as magnetic resonance imaging (MRI). With the recent development of combined PET/MR systems, we can improve the PET image quality by incorporating MR information into image reconstruction. Previously, kernel learning has been successfully embedded into static and dynamic PET image reconstruction using either PET temporal or MRI information. Here, we combine both PET temporal and MRI information adaptively to improve the quality of direct Patlak reconstruction. We examined different approaches to combine the PET and MRI information in kernel learning to address the issue of potential mismatches between MRI and PET signals. Computer simulations and hybrid real-patient data acquired on a simultaneous PET/MR scanner were used to evaluate the proposed methods. Results show that the method that combines PET temporal information and MRI spatial information adaptively based on the structure similarity index has the best performance in terms of noise reduction and resolution improvement. ? 1982-2012 IEEE.
Subjects
Electrons
Feature extraction
Hospital data processing
Image enhancement
Image quality
Image reconstruction
Magnetic resonance imaging
Medical computing
Positrons
Kernel
Kernel methods
Magnetic Resonance Imaging (MRI)
Positron emission tomography (PET)
Resolution improvement
Spatial informations
Structural similarity
Structure similarity
Positron emission tomography
fluorodeoxyglucose
Article
computer simulation
evaluation study
gray matter
human
image analysis
image quality
image reconstruction
intermethod comparison
kernel method
neoplasm
neuroimaging
noise reduction
nuclear magnetic resonance imaging
positron emission tomography
quantitative analysis
signal processing
spatiotemporal analysis
total quality management
white matter
algorithm
brain
diagnostic imaging
image processing
imaging phantom
procedures
statistical model
Algorithms
Brain
Humans
Image Processing, Computer-Assisted
Magnetic Resonance Imaging
Models, Statistical
Phantoms, Imaging
Positron-Emission Tomography
Type
journal article