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Accurate PET/MR Quantification Using Time of Flight MLAA Image Reconstruction
by
Lammertsma, A. A.
, Boellaard, R.
, Hofman, M. B. M.
, Hoekstra, O. S.
in
Computer Simulation
/ Humans
/ Image Processing, Computer-Assisted
/ Imaging
/ Likelihood Functions
/ Magnetic Resonance Imaging
/ Medicine
/ Medicine & Public Health
/ Phantoms, Imaging
/ Positron-Emission Tomography
/ Radiology
/ Research Article
/ Time Factors
2014
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Accurate PET/MR Quantification Using Time of Flight MLAA Image Reconstruction
by
Lammertsma, A. A.
, Boellaard, R.
, Hofman, M. B. M.
, Hoekstra, O. S.
in
Computer Simulation
/ Humans
/ Image Processing, Computer-Assisted
/ Imaging
/ Likelihood Functions
/ Magnetic Resonance Imaging
/ Medicine
/ Medicine & Public Health
/ Phantoms, Imaging
/ Positron-Emission Tomography
/ Radiology
/ Research Article
/ Time Factors
2014
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Accurate PET/MR Quantification Using Time of Flight MLAA Image Reconstruction
by
Lammertsma, A. A.
, Boellaard, R.
, Hofman, M. B. M.
, Hoekstra, O. S.
in
Computer Simulation
/ Humans
/ Image Processing, Computer-Assisted
/ Imaging
/ Likelihood Functions
/ Magnetic Resonance Imaging
/ Medicine
/ Medicine & Public Health
/ Phantoms, Imaging
/ Positron-Emission Tomography
/ Radiology
/ Research Article
/ Time Factors
2014
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Accurate PET/MR Quantification Using Time of Flight MLAA Image Reconstruction
Journal Article
Accurate PET/MR Quantification Using Time of Flight MLAA Image Reconstruction
2014
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Overview
Purpose
Quantification of positron emission tomography/magnetic resonance imaging (PET/MRI) studies is hampered by inaccurate MR-based attenuation correction (MR-AC). To date, most studies on MR-AC have been performed using PET/MR systems without time of flight (TOF). Maximum likelihood reconstruction of attenuation and activity (MLAA), however, has the potential to improve MR-AC by exploiting TOF. The purpose of this study is to assess the impact of MR-AC on PET image quantification for TOF-PET/MR systems and to evaluate PET accuracy when using TOF in combination with MLAA (TOF-MLAA).
Procedures
Simulations were designed to evaluate (1) the impact of MR-AC on PET quantification for different TOF windows (667, 500, 333 and 167 ps) and (2) use of TOF-MLAA for improving PET quantification. TOF-ordered subset expectation maximisation (OSEM) and TOF-MLAA reconstructions using MR-AC were compared with those obtained using TOF-OSEM with computed tomography-based AC (CT-AC).
Results
OSEM reconstructions without TOF showed a negative MR-AC-induced bias of −50 % in the bone. TOF-OSEM was able to reduce this bias down to −15 %, with more accurate results for better TOF. TOF-MLAA was able to reduce the bias to within 5 % but at the cost of a ∼40 % increase in image variance.
Conclusions
TOF-MLAA can improve quantitative PET accuracy of PET/MR studies. Further improvements are anticipated with improving TOF performance.
Publisher
Springer US,Springer Nature B.V
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