Literature DB >> 28390526

Attenuation Correction of PET/MR Imaging.

Yasheng Chen1, Hongyu An2.   

Abstract

PET/MR is a promising multimodality imaging approach. Attenuation is by far the largest correction required for quantitative PET imaging. MR-based attenuation correction have been extensively pursued, especially for brain imaging, in the past several years. In this article, we review atlas and direct imaging MR-based PET attenuation correction methods. The technical principles behind these methods are detailed and the advantages and disadvantages of these methods are discussed.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Atlas; Attenuation correction; MR; PET; UTE; ZTE

Mesh：

Year:  2017        PMID： 28390526      PMCID： PMC5385843          DOI： 10.1016/j.mric.2016.12.001

Source DB:  PubMed          Journal:  Magn Reson Imaging Clin N Am        ISSN： 1064-9689            Impact factor:   2.266


  45 in total

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Authors:  Angel Torrado-Carvajal; Joaquin L Herraiz; Eduardo Alcain; Antonio S Montemayor; Lina Garcia-Cañamaque; Juan A Hernandez-Tamames; Yves Rozenholc; Norberto Malpica
Journal:  J Nucl Med       Date:  2015-10-22       Impact factor: 10.057

2.  MRI-guided attenuation correction in whole-body PET/MR: assessment of the effect of bone attenuation.

Authors:  A Akbarzadeh; M R Ay; A Ahmadian; N Riahi Alam; H Zaidi
Journal:  Ann Nucl Med       Date:  2012-12-21       Impact factor: 2.668

3.  MRI-based attenuation correction for PET/MRI using ultrashort echo time sequences.

Authors:  Vincent Keereman; Yves Fierens; Tom Broux; Yves De Deene; Max Lonneux; Stefaan Vandenberghe
Journal:  J Nucl Med       Date:  2010-05       Impact factor: 10.057

4.  ML-reconstruction for TOF-PET with simultaneous estimation of the attenuation factors.

Authors:  Ahmadreza Rezaei; Michel Defrise; Johan Nuyts
Journal:  IEEE Trans Med Imaging       Date:  2014-04-17       Impact factor: 10.048

5.  Toward implementing an MRI-based PET attenuation-correction method for neurologic studies on the MR-PET brain prototype.

Authors:  Ciprian Catana; Andre van der Kouwe; Thomas Benner; Christian J Michel; Michael Hamm; Matthias Fenchel; Bruce Fischl; Bruce Rosen; Matthias Schmand; A Gregory Sorensen
Journal:  J Nucl Med       Date:  2010-09       Impact factor: 10.057

6.  Whole-Body PET/MR Imaging: Quantitative Evaluation of a Novel Model-Based MR Attenuation Correction Method Including Bone.

Authors:  Daniel H Paulus; Harald H Quick; Christian Geppert; Matthias Fenchel; Yiqiang Zhan; Gerardo Hermosillo; David Faul; Fernando Boada; Kent P Friedman; Thomas Koesters
Journal:  J Nucl Med       Date:  2015-05-29       Impact factor: 10.057

7.  Accurate PET/MR quantification using time of flight MLAA image reconstruction.

Authors:  R Boellaard; M B M Hofman; O S Hoekstra; A A Lammertsma
Journal:  Mol Imaging Biol       Date:  2014-08       Impact factor: 3.488

8.  Magnetic resonance-based attenuation correction for PET/MR hybrid imaging using continuous valued attenuation maps.

Authors:  Bharath K Navalpakkam; Harald Braun; Torsten Kuwert; Harald H Quick
Journal:  Invest Radiol       Date:  2013-05       Impact factor: 6.016

9.  PET/CT: comparison of quantitative tracer uptake between germanium and CT transmission attenuation-corrected images.

Authors:  Yuji Nakamoto; Medhat Osman; Christian Cohade; Laura T Marshall; Jonathan M Links; Steve Kohlmyer; Richard L Wahl
Journal:  J Nucl Med       Date:  2002-09       Impact factor: 10.057

10.  Cluster-based segmentation of dual-echo ultra-short echo time images for PET/MR bone localization.

Authors:  Gaspar Delso; Konstantinos Zeimpekis; Michael Carl; Florian Wiesinger; Martin Hüllner; Patrick Veit-Haibach
Journal:  EJNMMI Phys       Date:  2014-06-04
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  25 in total

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Journal:  Cardiovasc Res       Date:  2019-12-01       Impact factor: 10.787

Review 2.  Applications of PET-MR Imaging in Cardiovascular Disorders.

Authors:  Rhanderson Cardoso; Thorsten M Leucker
Journal:  PET Clin       Date:  2020-07-21

Review 3.  The future of MRI in radiation therapy: Challenges and opportunities for the MR community.

Authors:  Rosie J Goodburn; Marielle E P Philippens; Thierry L Lefebvre; Aly Khalifa; Tom Bruijnen; Joshua N Freedman; David E J Waddington; Eyesha Younus; Eric Aliotta; Gabriele Meliadò; Teo Stanescu; Wajiha Bano; Ali Fatemi-Ardekani; Andreas Wetscherek; Uwe Oelfke; Nico van den Berg; Ralph P Mason; Petra J van Houdt; James M Balter; Oliver J Gurney-Champion
Journal:  Magn Reson Med       Date:  2022-09-21       Impact factor: 3.737

Review 4.  2022 ASNC/AAPM/SCCT/SNMMI guideline for the use of CT in hybrid nuclear/CT cardiac imaging.

Authors:  Mouaz H Al-Mallah; Timothy M Bateman; Kelley R Branch; Andrew Crean; Eric L Gingold; Randall C Thompson; Sarah E McKenney; Edward J Miller; Venkatesh L Murthy; Koen Nieman; Todd C Villines; Michael V Yester; Andrew J Einstein; John J Mahmarian
Journal:  J Nucl Cardiol       Date:  2022-09-02       Impact factor: 3.872

Review 5.  Emerging role of integrated PET-MRI in osteoarthritis.

Authors:  Amarnath Jena; Sangeeta Taneja; Prerana Rana; Nidhi Goyal; Abhishek Vaish; Rajesh Botchu; Raju Vaishya
Journal:  Skeletal Radiol       Date:  2021-06-29       Impact factor: 2.199

Review 6.  Whole-Body Atherosclerosis Imaging by Positron Emission Tomography/Magnetic Resonance Imaging: From Mice to Nonhuman Primates.

Authors:  Claudia Calcagno; Carlos Pérez-Medina; Willem J M Mulder; Zahi A Fayad
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7.  Comparison of deep learning synthesis of synthetic CTs using clinical MRI inputs.

Authors:  Haley A Massa; Jacob M Johnson; Alan B McMillan
Journal:  Phys Med Biol       Date:  2020-12-23       Impact factor: 3.609

8.  Applying MRI Intensity Normalization on Non-Bone Tissues to Facilitate Pseudo-CT Synthesis from MRI.

Authors:  Kuei-Yuan Hou; Hao-Yuan Lu; Ching-Ching Yang
Journal:  Diagnostics (Basel)       Date:  2021-04-30

9.  Evaluation of attenuation correction in PET/MRI with synthetic lesion insertion.

Authors:  Mahdjoub Hamdi; Yutaka Natsuaki; Kristen A Wangerin; Hongyu An; Sarah St James; Paul E Kinahan; John J Sunderland; Peder E Z Larson; Thomas A Hope; Richard Laforest
Journal:  J Med Imaging (Bellingham)       Date:  2021-09-20

10.  Deep learning-based T1-enhanced selection of linear attenuation coefficients (DL-TESLA) for PET/MR attenuation correction in dementia neuroimaging.

Authors:  Yasheng Chen; Chunwei Ying; Michael M Binkley; Meher R Juttukonda; Shaney Flores; Richard Laforest; Tammie L S Benzinger; Hongyu An
Journal:  Magn Reson Med       Date:  2021-02-08       Impact factor: 3.737
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