Literature DB >> 27094314

Comparison between MRI-based attenuation correction methods for brain PET in dementia patients.

Jorge Cabello1, Mathias Lukas2, Elena Rota Kops3, André Ribeiro3,4, N Jon Shah3, Igor Yakushev2,5, Thomas Pyka2, Stephan G Nekolla2, Sibylle I Ziegler2.   

Abstract

INTRODUCTION: The combination of Positron Emission Tomography (PET) with magnetic resonance imaging (MRI) in hybrid PET/MRI scanners offers a number of advantages in investigating brain structure and function. A critical step of PET data reconstruction is attenuation correction (AC). Accounting for bone in attenuation maps (μ-map) was shown to be important in brain PET studies. While there are a number of MRI-based AC methods, no systematic comparison between them has been performed so far. The aim of this work was to study the different performance obtained by some of the recent methods presented in the literature. To perform such a comparison, we focused on [18F]-Fluorodeoxyglucose-PET/MRI neurodegenerative dementing disorders, which are known to exhibit reduced levels of glucose metabolism in certain brain regions.
METHODS: Four novel methods were used to calculate μ-maps from MRI data of 15 patients with Alzheimer's dementia (AD). The methods cover two atlas-based methods, a segmentation method, and a hybrid template/segmentation method. Additionally, the Dixon-based and a UTE-based method, offered by a vendor, were included in the comparison. Performance was assessed at three levels: tissue identification accuracy in the μ-map, quantitative accuracy of reconstructed PET data in specific brain regions, and precision in diagnostic images at identifying hypometabolic areas.
RESULTS: Quantitative regional errors of -20--10 % were obtained using the vendor's AC methods, whereas the novel methods produced errors in a margin of ±5 %. The obtained precision at identifying areas with abnormally low levels of glucose uptake, potentially regions affected by AD, were 62.9 and 79.5 % for the two vendor AC methods, the former ignoring bone and the latter including bone information. The precision increased to 87.5-93.3 % in average for the four new methods, exhibiting similar performances.
CONCLUSION: We confirm that the AC methods based on the Dixon and UTE sequences provided by the vendor are inferior to alternative techniques. As a novel finding, there was no substantial difference between the recently proposed atlas-based, template-based and segmentation-based methods.

Entities:  

Keywords:  Alzheimer’s dementia; Attenuation correction; FDG-PET; Neurostat; PET/MRI

Mesh:

Substances:

Year:  2016        PMID: 27094314     DOI: 10.1007/s00259-016-3394-5

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


  37 in total

Review 1.  Multimodal imaging in Alzheimer's disease: validity and usefulness for early detection.

Authors:  Stefan Teipel; Alexander Drzezga; Michel J Grothe; Henryk Barthel; Gaël Chételat; Norbert Schuff; Pawel Skudlarski; Enrica Cavedo; Giovanni B Frisoni; Wolfgang Hoffmann; Jochen René Thyrian; Chris Fox; Satoshi Minoshima; Osama Sabri; Andreas Fellgiebel
Journal:  Lancet Neurol       Date:  2015-08-26       Impact factor: 44.182

Review 2.  Towards quantitative PET/MRI: a review of MR-based attenuation correction techniques.

Authors:  Matthias Hofmann; Bernd Pichler; Bernhard Schölkopf; Thomas Beyer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2009-03       Impact factor: 9.236

3.  Clinical evaluation of zero-echo-time MR imaging for the segmentation of the skull.

Authors:  Gaspar Delso; Florian Wiesinger; Laura I Sacolick; Sandeep S Kaushik; Dattesh D Shanbhag; Martin Hüllner; Patrick Veit-Haibach
Journal:  J Nucl Med       Date:  2015-02-12       Impact factor: 10.057

4.  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

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.  Performance measurements of the Siemens mMR integrated whole-body PET/MR scanner.

Authors:  Gaspar Delso; Sebastian Fürst; Björn Jakoby; Ralf Ladebeck; Carl Ganter; Stephan G Nekolla; Markus Schwaiger; Sibylle I Ziegler
Journal:  J Nucl Med       Date:  2011-11-11       Impact factor: 10.057

7.  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

8.  Comparison of the diagnostic performance of FDG-PET and VBM-MRI in very mild Alzheimer's disease.

Authors:  Takashi Kawachi; Kazunari Ishii; Setsu Sakamoto; Masahiro Sasaki; Tetsuya Mori; Fumio Yamashita; Hiroshi Matsuda; Etsuro Mori
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-03-21       Impact factor: 9.236

9.  Dental artifacts in the head and neck region: implications for Dixon-based attenuation correction in PET/MR.

Authors:  Claes N Ladefoged; Adam E Hansen; Sune H Keller; Barbara M Fischer; Jacob H Rasmussen; Ian Law; Andreas Kjær; Liselotte Højgaard; Francois Lauze; Thomas Beyer; Flemming L Andersen
Journal:  EJNMMI Phys       Date:  2015-03-11

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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  11 in total

Review 1.  Magnetic resonance imaging and positron emission tomography in the diagnosis of neurodegenerative dementias.

Authors:  A Del Sole; S Malaspina; Alberto Magenta Biasina
Journal:  Funct Neurol       Date:  2016 Oct/Dec

Review 2.  From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies.

Authors:  Zhaolin Chen; Sharna D Jamadar; Shenpeng Li; Francesco Sforazzini; Jakub Baran; Nicholas Ferris; Nadim Jon Shah; Gary F Egan
Journal:  Hum Brain Mapp       Date:  2018-08-04       Impact factor: 5.038

3.  Using 31P-MRI of hydroxyapatite for bone attenuation correction in PET-MRI: proof of concept in the rodent brain.

Authors:  Vincent Lebon; Sébastien Jan; Yoann Fontyn; Brice Tiret; Géraldine Pottier; Emilie Jaumain; Julien Valette
Journal:  EJNMMI Phys       Date:  2017-05-02

4.  Pypes: Workflows for Processing Multimodal Neuroimaging Data.

Authors:  Alexandre M Savio; Michael Schutte; Manuel Graña; Igor Yakushev
Journal:  Front Neuroinform       Date:  2017-04-11       Impact factor: 4.081

5.  The impact of atlas-based MR attenuation correction on the diagnosis of FDG-PET/MR for Alzheimer's diseases- A simulation study combining multi-center data and ADNI-data.

Authors:  Tetsuro Sekine; Alfred Buck; Gaspar Delso; Bradley Kemp; Edwin E G W Ter Voert; Martin Huellner; Patrick Veit-Haibach; Sandeep Kaushik; Florian Wiesinger; Geoffrey Warnock
Journal:  PLoS One       Date:  2020-06-03       Impact factor: 3.240

6.  Accurate hybrid template-based and MR-based attenuation correction using UTE images for simultaneous PET/MR brain imaging applications.

Authors:  Jakub Baran; Zhaolin Chen; Francesco Sforazzini; Nicholas Ferris; Sharna Jamadar; Ben Schmitt; David Faul; Nadim Jon Shah; Marian Cholewa; Gary F Egan
Journal:  BMC Med Imaging       Date:  2018-11-06       Impact factor: 1.930

Review 7.  PET/MRI: a frontier in era of complementary hybrid imaging.

Authors:  Sikkandhar Musafargani; Krishna Kanta Ghosh; Sachin Mishra; Pachaiyappan Mahalakshmi; Parasuraman Padmanabhan; Balázs Gulyás
Journal:  Eur J Hybrid Imaging       Date:  2018-06-25

8.  Quantitative and clinical impact of MRI-based attenuation correction methods in [18F]FDG evaluation of dementia.

Authors:  Silje Kjærnes Øen; Thomas Morten Keil; Erik Magnus Berntsen; Joel Fredrik Aanerud; Thomas Schwarzlmüller; Claes Nøhr Ladefoged; Anna Maria Karlberg; Live Eikenes
Journal:  EJNMMI Res       Date:  2019-08-24       Impact factor: 3.138

9.  Impact of non-uniform attenuation correction in a dynamic [18F]-FDOPA brain PET/MRI study.

Authors:  Jorge Cabello; Mihai Avram; Felix Brandl; Mona Mustafa; Martin Scherr; Claudia Leucht; Stefan Leucht; Christian Sorg; Sibylle I Ziegler
Journal:  EJNMMI Res       Date:  2019-08-19       Impact factor: 3.138

10.  Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction.

Authors:  Paul Blanc-Durand; Maya Khalife; Brian Sgard; Sandeep Kaushik; Marine Soret; Amal Tiss; Georges El Fakhri; Marie-Odile Habert; Florian Wiesinger; Aurélie Kas
Journal:  PLoS One       Date:  2019-10-07       Impact factor: 3.240

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