Literature DB >> 25055381

Attenuation correction synthesis for hybrid PET-MR scanners: application to brain studies.

Ninon Burgos, M Jorge Cardoso, Kris Thielemans, Marc Modat, Stefano Pedemonte, John Dickson, Anna Barnes, Rebekah Ahmed, Colin J Mahoney, Jonathan M Schott, John S Duncan, David Atkinson, Simon R Arridge, Brian F Hutton, Sebastien Ourselin.   

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.

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Year:  2014        PMID: 25055381     DOI: 10.1109/TMI.2014.2340135

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  99 in total

1.  Attenuation correction for brain PET imaging using deep neural network based on Dixon and ZTE MR images.

Authors:  Kuang Gong; Jaewon Yang; Kyungsang Kim; Georges El Fakhri; Youngho Seo; Quanzheng Li
Journal:  Phys Med Biol       Date:  2018-06-13       Impact factor: 3.609

2.  Evaluation of Sinus/Edge-Corrected Zero-Echo-Time-Based Attenuation Correction in Brain PET/MRI.

Authors:  Jaewon Yang; Florian Wiesinger; Sandeep Kaushik; Dattesh Shanbhag; Thomas A Hope; Peder E Z Larson; Youngho Seo
Journal:  J Nucl Med       Date:  2017-05-04       Impact factor: 10.057

3.  Brain PET Poster Sessions PP01-M01 to PP02-N07.

Authors: 
Journal:  J Cereb Blood Flow Metab       Date:  2019-07       Impact factor: 6.200

4.  A supervoxel based random forest synthesis framework for bidirectional MR/CT synthesis.

Authors:  Can Zhao; Aaron Carass; Junghoon Lee; Amod Jog; Jerry L Prince
Journal:  Simul Synth Med Imaging       Date:  2017-09-26

Review 5.  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

6.  Multiatlas approach with local registration goodness weighting for MRI-based electron density mapping of head and neck anatomy.

Authors:  Reza Farjam; Neelam Tyagi; Harini Veeraraghavan; Aditya Apte; Kristen Zakian; Margie A Hunt; Joseph O Deasy
Journal:  Med Phys       Date:  2017-06-01       Impact factor: 4.071

7.  Multi-atlas-based CT synthesis from conventional MRI with patch-based refinement for MRI-based radiotherapy planning.

Authors:  Junghoon Lee; Aaron Carass; Amod Jog; Can Zhao; Jerry L Prince
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2017-02-24

Review 8.  Advances in PET/MR instrumentation and image reconstruction.

Authors:  Jorge Cabello; Sibylle I Ziegler
Journal:  Br J Radiol       Date:  2016-07-22       Impact factor: 3.039

9.  One registration multi-atlas-based pseudo-CT generation for attenuation correction in PET/MRI.

Authors:  Hossein Arabi; Habib Zaidi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-06-03       Impact factor: 9.236

Review 10.  MR Imaging-Guided Attenuation Correction of PET Data in PET/MR Imaging.

Authors:  David Izquierdo-Garcia; Ciprian Catana
Journal:  PET Clin       Date:  2016-01-26
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