Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies
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 direc...
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| Veröffentlicht in: | IEEE transactions on medical imaging 2014-12, Vol.33 (12), p.2332-2341 |
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| creator | Burgos, Ninon Cardoso, M. Jorge Thielemans, Kris Modat, Marc Pedemonte, Stefano Dickson, John Barnes, Anna Ahmed, Rebekah Mahoney, Colin J. Schott, Jonathan M. Duncan, John S. Atkinson, David Arridge, Simon R. Hutton, Brian F. Ourselin, Sebastien |
| description | 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. |
| doi_str_mv | 10.1109/TMI.2014.2340135 |
| format | Article |
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Jorge ; Thielemans, Kris ; Modat, Marc ; Pedemonte, Stefano ; Dickson, John ; Barnes, Anna ; Ahmed, Rebekah ; Mahoney, Colin J. ; Schott, Jonathan M. ; Duncan, John S. ; Atkinson, David ; Arridge, Simon R. ; Hutton, Brian F. ; Ourselin, Sebastien</creator><creatorcontrib>Burgos, Ninon ; Cardoso, M. Jorge ; Thielemans, Kris ; Modat, Marc ; Pedemonte, Stefano ; Dickson, John ; Barnes, Anna ; Ahmed, Rebekah ; Mahoney, Colin J. ; Schott, Jonathan M. ; Duncan, John S. ; Atkinson, David ; Arridge, Simon R. ; Hutton, Brian F. ; Ourselin, Sebastien</creatorcontrib><description>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.</description><identifier>ISSN: 0278-0062</identifier><identifier>EISSN: 1558-254X</identifier><identifier>DOI: 10.1109/TMI.2014.2340135</identifier><identifier>PMID: 25055381</identifier><identifier>CODEN: ITMID4</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Accuracy ; Algorithms ; Attenuation ; Attenuation correction ; Bones ; Brain - anatomy & histology ; Brain - diagnostic imaging ; Computed tomography ; Computer Science ; Humans ; image synthesis ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Medical Imaging ; Multimodal Imaging - methods ; Neuroimaging - methods ; Positron emission ; Positron emission tomography ; positron emission tomography/magnetic resonance (PET/MR) ; Positron-Emission Tomography - methods ; Scanners ; Synthesis ; Tomography</subject><ispartof>IEEE transactions on medical imaging, 2014-12, Vol.33 (12), p.2332-2341</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Dec 2014</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c555t-6b8708edf7a7239a3ea4e9389fd321eef36f67036b2d5f669bc22e57696031273</citedby><cites>FETCH-LOGICAL-c555t-6b8708edf7a7239a3ea4e9389fd321eef36f67036b2d5f669bc22e57696031273</cites><orcidid>0000-0002-4668-2006</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6858020$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>230,314,776,780,792,881,27901,27902,54733</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25055381$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://inria.hal.science/hal-01827217$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Burgos, Ninon</creatorcontrib><creatorcontrib>Cardoso, M. Jorge</creatorcontrib><creatorcontrib>Thielemans, Kris</creatorcontrib><creatorcontrib>Modat, Marc</creatorcontrib><creatorcontrib>Pedemonte, Stefano</creatorcontrib><creatorcontrib>Dickson, John</creatorcontrib><creatorcontrib>Barnes, Anna</creatorcontrib><creatorcontrib>Ahmed, Rebekah</creatorcontrib><creatorcontrib>Mahoney, Colin J.</creatorcontrib><creatorcontrib>Schott, Jonathan M.</creatorcontrib><creatorcontrib>Duncan, John S.</creatorcontrib><creatorcontrib>Atkinson, David</creatorcontrib><creatorcontrib>Arridge, Simon R.</creatorcontrib><creatorcontrib>Hutton, Brian F.</creatorcontrib><creatorcontrib>Ourselin, Sebastien</creatorcontrib><title>Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies</title><title>IEEE transactions on medical imaging</title><addtitle>TMI</addtitle><addtitle>IEEE Trans Med Imaging</addtitle><description>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. 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| subjects | Accuracy Algorithms Attenuation Attenuation correction Bones Brain - anatomy & histology Brain - diagnostic imaging Computed tomography Computer Science Humans image synthesis Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical Imaging Multimodal Imaging - methods Neuroimaging - methods Positron emission Positron emission tomography positron emission tomography/magnetic resonance (PET/MR) Positron-Emission Tomography - methods Scanners Synthesis Tomography |
| title | Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies |
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