Super-resolution in PET imaging
This paper demonstrates a super-resolution method for improving the resolution in clinical positron emission tomography (PET) scanners. Super-resolution images were obtained by combining four data sets with spatial shifts between consecutive acquisitions and applying an iterative algorithm. Super-re...
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| Veröffentlicht in: | IEEE transactions on medical imaging 2006-02, Vol.25 (2), p.137-147 |
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| creator | Kennedy, J.A. Israel, O. Frenkel, A. Bar-Shalom, R. Haim Azhari |
| description | This paper demonstrates a super-resolution method for improving the resolution in clinical positron emission tomography (PET) scanners. Super-resolution images were obtained by combining four data sets with spatial shifts between consecutive acquisitions and applying an iterative algorithm. Super-resolution attenuation corrected PET scans of a phantom were obtained using the two-dimensional and three-dimensional (3-D) acquisition modes of a clinical PET/computed tomography (CT) scanner (Discovery LS, GEMS). In a patient study, following a standard /sup 18/F-FDG PET/CT scan, a super-resolution scan around one small lesion was performed using axial shifts without increasing the patient radiation exposure. In the phantom study, smaller features (3 mm) could be resolved axially with the super-resolution method than without (6 mm). The super-resolution images had better resolution than the original images and provided higher contrast ratios in coronal images and in 3-D acquisition transaxial images. The coronal super-resolution images had superior resolution and contrast ratios compared to images reconstructed by merely interleaving the data to the proper axial location. In the patient study, super-resolution reconstructions displayed a more localized /sup 18/F-FDG uptake. A new approach for improving the resolution of PET images using a super-resolution method has been developed and experimentally confirmed, employing a clinical scanner. The improvement in axial resolution requires no changes in hardware. |
| doi_str_mv | 10.1109/TMI.2005.861705 |
| format | Article |
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Super-resolution images were obtained by combining four data sets with spatial shifts between consecutive acquisitions and applying an iterative algorithm. Super-resolution attenuation corrected PET scans of a phantom were obtained using the two-dimensional and three-dimensional (3-D) acquisition modes of a clinical PET/computed tomography (CT) scanner (Discovery LS, GEMS). In a patient study, following a standard /sup 18/F-FDG PET/CT scan, a super-resolution scan around one small lesion was performed using axial shifts without increasing the patient radiation exposure. In the phantom study, smaller features (3 mm) could be resolved axially with the super-resolution method than without (6 mm). The super-resolution images had better resolution than the original images and provided higher contrast ratios in coronal images and in 3-D acquisition transaxial images. The coronal super-resolution images had superior resolution and contrast ratios compared to images reconstructed by merely interleaving the data to the proper axial location. In the patient study, super-resolution reconstructions displayed a more localized /sup 18/F-FDG uptake. A new approach for improving the resolution of PET images using a super-resolution method has been developed and experimentally confirmed, employing a clinical scanner. The improvement in axial resolution requires no changes in hardware.</description><identifier>ISSN: 0278-0062</identifier><identifier>EISSN: 1558-254X</identifier><identifier>DOI: 10.1109/TMI.2005.861705</identifier><identifier>PMID: 16468448</identifier><identifier>CODEN: ITMID4</identifier><language>eng</language><publisher>United States: IEEE</publisher><subject>Acquisitions ; Acquisitions & mergers ; Algorithms ; Attenuation ; Computed tomography ; Fluorodeoxyglucose F18 ; Humans ; Image contrast ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Image reconstruction ; Image resolution ; Imaging phantoms ; Imaging, Three-Dimensional - methods ; Interleaved codes ; Iterative algorithms ; Lesions ; Lung Neoplasms - diagnostic imaging ; Marketing ; oncology ; Patients ; PET ; Phantoms, Imaging ; Positron emission ; Positron emission tomography ; Positron-Emission Tomography - instrumentation ; Positron-Emission Tomography - methods ; Radiopharmaceuticals ; Reproducibility of Results ; Scanners ; Sensitivity and Specificity ; Spatial resolution ; Studies ; super-resolution ; Tomography</subject><ispartof>IEEE transactions on medical imaging, 2006-02, Vol.25 (2), p.137-147</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2006</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c469t-144531e75f810aff38791392d4067be870822abdba86402f0f2758fc44c143d43</citedby><cites>FETCH-LOGICAL-c469t-144531e75f810aff38791392d4067be870822abdba86402f0f2758fc44c143d43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1583760$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54736</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1583760$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/16468448$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kennedy, J.A.</creatorcontrib><creatorcontrib>Israel, O.</creatorcontrib><creatorcontrib>Frenkel, A.</creatorcontrib><creatorcontrib>Bar-Shalom, R.</creatorcontrib><creatorcontrib>Haim Azhari</creatorcontrib><title>Super-resolution in PET imaging</title><title>IEEE transactions on medical imaging</title><addtitle>TMI</addtitle><addtitle>IEEE Trans Med Imaging</addtitle><description>This paper demonstrates a super-resolution method for improving the resolution in clinical positron emission tomography (PET) scanners. Super-resolution images were obtained by combining four data sets with spatial shifts between consecutive acquisitions and applying an iterative algorithm. Super-resolution attenuation corrected PET scans of a phantom were obtained using the two-dimensional and three-dimensional (3-D) acquisition modes of a clinical PET/computed tomography (CT) scanner (Discovery LS, GEMS). In a patient study, following a standard /sup 18/F-FDG PET/CT scan, a super-resolution scan around one small lesion was performed using axial shifts without increasing the patient radiation exposure. In the phantom study, smaller features (3 mm) could be resolved axially with the super-resolution method than without (6 mm). The super-resolution images had better resolution than the original images and provided higher contrast ratios in coronal images and in 3-D acquisition transaxial images. The coronal super-resolution images had superior resolution and contrast ratios compared to images reconstructed by merely interleaving the data to the proper axial location. In the patient study, super-resolution reconstructions displayed a more localized /sup 18/F-FDG uptake. A new approach for improving the resolution of PET images using a super-resolution method has been developed and experimentally confirmed, employing a clinical scanner. The improvement in axial resolution requires no changes in hardware.</description><subject>Acquisitions</subject><subject>Acquisitions & mergers</subject><subject>Algorithms</subject><subject>Attenuation</subject><subject>Computed tomography</subject><subject>Fluorodeoxyglucose F18</subject><subject>Humans</subject><subject>Image contrast</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image reconstruction</subject><subject>Image resolution</subject><subject>Imaging phantoms</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Interleaved codes</subject><subject>Iterative algorithms</subject><subject>Lesions</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Marketing</subject><subject>oncology</subject><subject>Patients</subject><subject>PET</subject><subject>Phantoms, Imaging</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Positron-Emission Tomography - instrumentation</subject><subject>Positron-Emission Tomography - methods</subject><subject>Radiopharmaceuticals</subject><subject>Reproducibility of Results</subject><subject>Scanners</subject><subject>Sensitivity and Specificity</subject><subject>Spatial resolution</subject><subject>Studies</subject><subject>super-resolution</subject><subject>Tomography</subject><issn>0278-0062</issn><issn>1558-254X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><sourceid>EIF</sourceid><recordid>eNqF0c1LAzEQBfAgitbq2YOgxYN62XYmmSSzRyn1AxQFK3gL221WVtrduuke_O9NaaHgQU855JdHeE-IE4Q-IqSD8dNDXwLoPhu0oHdEB7XmRGp63xUdkJYTACMPxGEInwBIGtJ9cYCGDBNxR5y_tgvfJI0P9axdlnXVK6vey2jcK-fZR1l9HIm9IpsFf7w5u-LtdjQe3iePz3cPw5vHJCeTLhMk0gq91QUjZEWh2KaoUjklMHbi2QJLmU2mk4wNgSygkFZzkRPlSGpKqiuu1rmLpv5qfVi6eRlyP5tlla_b4NgSpqCIo7z8UxprIiX8F0oGjnXQvzCmEQLaCK__hsaiTAl4lXnxi37WbVPFCh0bbbQysPrhYI3ypg6h8YVbNLH35tshuNW-Lu7rVvu69b7xxdkmtp3M_XTrN4NGcLoGpfd-e61ZWQPqB5Y0o8E</recordid><startdate>20060201</startdate><enddate>20060201</enddate><creator>Kennedy, J.A.</creator><creator>Israel, O.</creator><creator>Frenkel, A.</creator><creator>Bar-Shalom, R.</creator><creator>Haim Azhari</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Image reconstruction</topic><topic>Image resolution</topic><topic>Imaging phantoms</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Interleaved codes</topic><topic>Iterative algorithms</topic><topic>Lesions</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Marketing</topic><topic>oncology</topic><topic>Patients</topic><topic>PET</topic><topic>Phantoms, Imaging</topic><topic>Positron emission</topic><topic>Positron emission tomography</topic><topic>Positron-Emission Tomography - instrumentation</topic><topic>Positron-Emission Tomography - methods</topic><topic>Radiopharmaceuticals</topic><topic>Reproducibility of Results</topic><topic>Scanners</topic><topic>Sensitivity and Specificity</topic><topic>Spatial resolution</topic><topic>Studies</topic><topic>super-resolution</topic><topic>Tomography</topic><toplevel>online_resources</toplevel><creatorcontrib>Kennedy, J.A.</creatorcontrib><creatorcontrib>Israel, O.</creatorcontrib><creatorcontrib>Frenkel, A.</creatorcontrib><creatorcontrib>Bar-Shalom, R.</creatorcontrib><creatorcontrib>Haim Azhari</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Nursing & Allied Health Premium</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on medical imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Kennedy, J.A.</au><au>Israel, O.</au><au>Frenkel, A.</au><au>Bar-Shalom, R.</au><au>Haim Azhari</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Super-resolution in PET imaging</atitle><jtitle>IEEE transactions on medical imaging</jtitle><stitle>TMI</stitle><addtitle>IEEE Trans Med Imaging</addtitle><date>2006-02-01</date><risdate>2006</risdate><volume>25</volume><issue>2</issue><spage>137</spage><epage>147</epage><pages>137-147</pages><issn>0278-0062</issn><eissn>1558-254X</eissn><coden>ITMID4</coden><abstract>This paper demonstrates a super-resolution method for improving the resolution in clinical positron emission tomography (PET) scanners. Super-resolution images were obtained by combining four data sets with spatial shifts between consecutive acquisitions and applying an iterative algorithm. Super-resolution attenuation corrected PET scans of a phantom were obtained using the two-dimensional and three-dimensional (3-D) acquisition modes of a clinical PET/computed tomography (CT) scanner (Discovery LS, GEMS). In a patient study, following a standard /sup 18/F-FDG PET/CT scan, a super-resolution scan around one small lesion was performed using axial shifts without increasing the patient radiation exposure. In the phantom study, smaller features (3 mm) could be resolved axially with the super-resolution method than without (6 mm). The super-resolution images had better resolution than the original images and provided higher contrast ratios in coronal images and in 3-D acquisition transaxial images. The coronal super-resolution images had superior resolution and contrast ratios compared to images reconstructed by merely interleaving the data to the proper axial location. In the patient study, super-resolution reconstructions displayed a more localized /sup 18/F-FDG uptake. A new approach for improving the resolution of PET images using a super-resolution method has been developed and experimentally confirmed, employing a clinical scanner. The improvement in axial resolution requires no changes in hardware.</abstract><cop>United States</cop><pub>IEEE</pub><pmid>16468448</pmid><doi>10.1109/TMI.2005.861705</doi><tpages>11</tpages></addata></record> |
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| subjects | Acquisitions Acquisitions & mergers Algorithms Attenuation Computed tomography Fluorodeoxyglucose F18 Humans Image contrast Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Image reconstruction Image resolution Imaging phantoms Imaging, Three-Dimensional - methods Interleaved codes Iterative algorithms Lesions Lung Neoplasms - diagnostic imaging Marketing oncology Patients PET Phantoms, Imaging Positron emission Positron emission tomography Positron-Emission Tomography - instrumentation Positron-Emission Tomography - methods Radiopharmaceuticals Reproducibility of Results Scanners Sensitivity and Specificity Spatial resolution Studies super-resolution Tomography |
| title | Super-resolution in PET imaging |
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