Coronary artery stents: influence of adaptive statistical iterative reconstruction on image quality using 64-HDCT
The assessment of coronary stents with present-generation 64-detector row computed tomography (HDCT) scanners is limited by image noise and blooming artefacts. We evaluated the performance of adaptive statistical iterative reconstruction (ASIR) for noise reduction in coronary stent imaging with HDCT...
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| Veröffentlicht in: | European heart journal cardiovascular imaging 2013-10, Vol.14 (10), p.969-977 |
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| creator | Gebhard, Cathérine Fiechter, Michael Fuchs, Tobias A Stehli, Julia Müller, Ennio Stähli, Barbara E Gebhard, Caroline E Ghadri, Jelena R Klaeser, Bernd Gaemperli, Oliver Kaufmann, Philipp A |
| description | The assessment of coronary stents with present-generation 64-detector row computed tomography (HDCT) scanners is limited by image noise and blooming artefacts. We evaluated the performance of adaptive statistical iterative reconstruction (ASIR) for noise reduction in coronary stent imaging with HDCT.
In 50 stents of 28 patients (mean age 64 ± 10 years) undergoing coronary CT angiography (CCTA) on an HDCT scanner the mean in-stent luminal diameter, stent length, image quality, in-stent contrast attenuation, and image noise were assessed. Studies were reconstructed using filtered back projection (FBP) and ASIR-FBP composites. ASIR resulted in reduced image noise vs. FBP (P < 0.0001). Two readers graded the CCTA stent image quality on a 4-point Likert scale and determined the proportion of interpretable stent segments. The best image quality for all clinical images was obtained with 40 and 60% ASIR with significantly larger luminal area visualization compared with FBP (+42.1 ± 5.4% with 100% ASIR vs. FBP alone; P < 0.0001) while the stent length was decreased (-4.7 ± 0.9%, |
| doi_str_mv | 10.1093/ehjci/jet013 |
| format | Article |
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In 50 stents of 28 patients (mean age 64 ± 10 years) undergoing coronary CT angiography (CCTA) on an HDCT scanner the mean in-stent luminal diameter, stent length, image quality, in-stent contrast attenuation, and image noise were assessed. Studies were reconstructed using filtered back projection (FBP) and ASIR-FBP composites. ASIR resulted in reduced image noise vs. FBP (P < 0.0001). Two readers graded the CCTA stent image quality on a 4-point Likert scale and determined the proportion of interpretable stent segments. The best image quality for all clinical images was obtained with 40 and 60% ASIR with significantly larger luminal area visualization compared with FBP (+42.1 ± 5.4% with 100% ASIR vs. FBP alone; P < 0.0001) while the stent length was decreased (-4.7 ± 0.9%, <P = 0.002) and volume measurements were unaffected.
Reconstruction of CCTA from HDCT using 40 and 60% ASIR incrementally improves intra-stent luminal area, diameter visualization, and image quality compared with FBP reconstruction.</description><identifier>ISSN: 2047-2404</identifier><identifier>EISSN: 2047-2412</identifier><identifier>DOI: 10.1093/ehjci/jet013</identifier><identifier>PMID: 23428650</identifier><language>eng</language><publisher>England</publisher><subject>Aged ; Angioplasty, Balloon, Coronary - instrumentation ; Angioplasty, Balloon, Coronary - methods ; Cohort Studies ; Coronary Angiography - methods ; Coronary Stenosis - diagnostic imaging ; Coronary Stenosis - therapy ; Female ; Humans ; Image Processing, Computer-Assisted ; Male ; Middle Aged ; Multidetector Computed Tomography - methods ; Observer Variation ; Quality Control ; Radiation Dosage ; Radiographic Image Interpretation, Computer-Assisted ; Reproducibility of Results ; Risk Assessment ; Sensitivity and Specificity ; Stents</subject><ispartof>European heart journal cardiovascular imaging, 2013-10, Vol.14 (10), p.969-977</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c395t-41f11db33ec96d8fcb717dd9b501351f704f21cc38f67bf02f8c5183bd7602853</citedby><cites>FETCH-LOGICAL-c395t-41f11db33ec96d8fcb717dd9b501351f704f21cc38f67bf02f8c5183bd7602853</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,27929,27930</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/23428650$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gebhard, Cathérine</creatorcontrib><creatorcontrib>Fiechter, Michael</creatorcontrib><creatorcontrib>Fuchs, Tobias A</creatorcontrib><creatorcontrib>Stehli, Julia</creatorcontrib><creatorcontrib>Müller, Ennio</creatorcontrib><creatorcontrib>Stähli, Barbara E</creatorcontrib><creatorcontrib>Gebhard, Caroline E</creatorcontrib><creatorcontrib>Ghadri, Jelena R</creatorcontrib><creatorcontrib>Klaeser, Bernd</creatorcontrib><creatorcontrib>Gaemperli, Oliver</creatorcontrib><creatorcontrib>Kaufmann, Philipp A</creatorcontrib><title>Coronary artery stents: influence of adaptive statistical iterative reconstruction on image quality using 64-HDCT</title><title>European heart journal cardiovascular imaging</title><addtitle>Eur Heart J Cardiovasc Imaging</addtitle><description>The assessment of coronary stents with present-generation 64-detector row computed tomography (HDCT) scanners is limited by image noise and blooming artefacts. We evaluated the performance of adaptive statistical iterative reconstruction (ASIR) for noise reduction in coronary stent imaging with HDCT.
In 50 stents of 28 patients (mean age 64 ± 10 years) undergoing coronary CT angiography (CCTA) on an HDCT scanner the mean in-stent luminal diameter, stent length, image quality, in-stent contrast attenuation, and image noise were assessed. Studies were reconstructed using filtered back projection (FBP) and ASIR-FBP composites. ASIR resulted in reduced image noise vs. FBP (P < 0.0001). Two readers graded the CCTA stent image quality on a 4-point Likert scale and determined the proportion of interpretable stent segments. The best image quality for all clinical images was obtained with 40 and 60% ASIR with significantly larger luminal area visualization compared with FBP (+42.1 ± 5.4% with 100% ASIR vs. FBP alone; P < 0.0001) while the stent length was decreased (-4.7 ± 0.9%, <P = 0.002) and volume measurements were unaffected.
Reconstruction of CCTA from HDCT using 40 and 60% ASIR incrementally improves intra-stent luminal area, diameter visualization, and image quality compared with FBP reconstruction.</description><subject>Aged</subject><subject>Angioplasty, Balloon, Coronary - instrumentation</subject><subject>Angioplasty, Balloon, Coronary - methods</subject><subject>Cohort Studies</subject><subject>Coronary Angiography - methods</subject><subject>Coronary Stenosis - diagnostic imaging</subject><subject>Coronary Stenosis - therapy</subject><subject>Female</subject><subject>Humans</subject><subject>Image Processing, Computer-Assisted</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Multidetector Computed Tomography - methods</subject><subject>Observer Variation</subject><subject>Quality Control</subject><subject>Radiation Dosage</subject><subject>Radiographic Image Interpretation, Computer-Assisted</subject><subject>Reproducibility of Results</subject><subject>Risk Assessment</subject><subject>Sensitivity and Specificity</subject><subject>Stents</subject><issn>2047-2404</issn><issn>2047-2412</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNo9kMtLAzEQxoMottTePEuOHlyb5z68yfqoUPBSz0s2m9SUbdImWaH_vbGtHQZmmPnxwfcBcIvRI0YVnanvtTSztYoI0wswJogVGWGYXJ53xEZgGsIapeIsZwRfgxGhjJQ5R2Owq513Vvg9FD6qNEJUNoYnaKzuB2Wlgk5D0YltND8qfUU0IRopemgSLw5Xr6SzIfpBRuMsTG02YqXgbhC9iXs4BGNXMGfZ_KVe3oArLfqgpqc5AV9vr8t6ni0-3z_q50UmacVjxrDGuGspVbLKu1LLtsBF11UtT1Y51gVimmApaanzotWI6FJyXNK2K3JESk4n4P6ou_VuN6gQm40JUvW9sMoNocGM5jxnHKGEPhxR6V0IXulm65MDv28wav5ybg45N8ecE353Uh7ajerO8H-q9BepG3uZ</recordid><startdate>20131001</startdate><enddate>20131001</enddate><creator>Gebhard, Cathérine</creator><creator>Fiechter, Michael</creator><creator>Fuchs, Tobias A</creator><creator>Stehli, Julia</creator><creator>Müller, Ennio</creator><creator>Stähli, Barbara E</creator><creator>Gebhard, Caroline E</creator><creator>Ghadri, Jelena R</creator><creator>Klaeser, Bernd</creator><creator>Gaemperli, Oliver</creator><creator>Kaufmann, Philipp A</creator><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20131001</creationdate><title>Coronary artery stents: influence of adaptive statistical iterative reconstruction on image quality using 64-HDCT</title><author>Gebhard, Cathérine ; Fiechter, Michael ; Fuchs, Tobias A ; Stehli, Julia ; Müller, Ennio ; Stähli, Barbara E ; Gebhard, Caroline E ; Ghadri, Jelena R ; Klaeser, Bernd ; Gaemperli, Oliver ; Kaufmann, Philipp A</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c395t-41f11db33ec96d8fcb717dd9b501351f704f21cc38f67bf02f8c5183bd7602853</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>Aged</topic><topic>Angioplasty, Balloon, Coronary - instrumentation</topic><topic>Angioplasty, Balloon, Coronary - methods</topic><topic>Cohort Studies</topic><topic>Coronary Angiography - methods</topic><topic>Coronary Stenosis - diagnostic imaging</topic><topic>Coronary Stenosis - therapy</topic><topic>Female</topic><topic>Humans</topic><topic>Image Processing, Computer-Assisted</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Multidetector Computed Tomography - methods</topic><topic>Observer Variation</topic><topic>Quality Control</topic><topic>Radiation Dosage</topic><topic>Radiographic Image Interpretation, Computer-Assisted</topic><topic>Reproducibility of Results</topic><topic>Risk Assessment</topic><topic>Sensitivity and Specificity</topic><topic>Stents</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gebhard, Cathérine</creatorcontrib><creatorcontrib>Fiechter, Michael</creatorcontrib><creatorcontrib>Fuchs, Tobias A</creatorcontrib><creatorcontrib>Stehli, Julia</creatorcontrib><creatorcontrib>Müller, Ennio</creatorcontrib><creatorcontrib>Stähli, Barbara E</creatorcontrib><creatorcontrib>Gebhard, Caroline E</creatorcontrib><creatorcontrib>Ghadri, Jelena R</creatorcontrib><creatorcontrib>Klaeser, Bernd</creatorcontrib><creatorcontrib>Gaemperli, Oliver</creatorcontrib><creatorcontrib>Kaufmann, Philipp A</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European heart journal cardiovascular imaging</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gebhard, Cathérine</au><au>Fiechter, Michael</au><au>Fuchs, Tobias A</au><au>Stehli, Julia</au><au>Müller, Ennio</au><au>Stähli, Barbara E</au><au>Gebhard, Caroline E</au><au>Ghadri, Jelena R</au><au>Klaeser, Bernd</au><au>Gaemperli, Oliver</au><au>Kaufmann, Philipp A</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Coronary artery stents: influence of adaptive statistical iterative reconstruction on image quality using 64-HDCT</atitle><jtitle>European heart journal cardiovascular imaging</jtitle><addtitle>Eur Heart J Cardiovasc Imaging</addtitle><date>2013-10-01</date><risdate>2013</risdate><volume>14</volume><issue>10</issue><spage>969</spage><epage>977</epage><pages>969-977</pages><issn>2047-2404</issn><eissn>2047-2412</eissn><abstract>The assessment of coronary stents with present-generation 64-detector row computed tomography (HDCT) scanners is limited by image noise and blooming artefacts. We evaluated the performance of adaptive statistical iterative reconstruction (ASIR) for noise reduction in coronary stent imaging with HDCT.
In 50 stents of 28 patients (mean age 64 ± 10 years) undergoing coronary CT angiography (CCTA) on an HDCT scanner the mean in-stent luminal diameter, stent length, image quality, in-stent contrast attenuation, and image noise were assessed. Studies were reconstructed using filtered back projection (FBP) and ASIR-FBP composites. ASIR resulted in reduced image noise vs. FBP (P < 0.0001). Two readers graded the CCTA stent image quality on a 4-point Likert scale and determined the proportion of interpretable stent segments. The best image quality for all clinical images was obtained with 40 and 60% ASIR with significantly larger luminal area visualization compared with FBP (+42.1 ± 5.4% with 100% ASIR vs. FBP alone; P < 0.0001) while the stent length was decreased (-4.7 ± 0.9%, <P = 0.002) and volume measurements were unaffected.
Reconstruction of CCTA from HDCT using 40 and 60% ASIR incrementally improves intra-stent luminal area, diameter visualization, and image quality compared with FBP reconstruction.</abstract><cop>England</cop><pmid>23428650</pmid><doi>10.1093/ehjci/jet013</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; Oxford University Press Journals All Titles (1996-Current); Alma/SFX Local Collection |
| subjects | Aged Angioplasty, Balloon, Coronary - instrumentation Angioplasty, Balloon, Coronary - methods Cohort Studies Coronary Angiography - methods Coronary Stenosis - diagnostic imaging Coronary Stenosis - therapy Female Humans Image Processing, Computer-Assisted Male Middle Aged Multidetector Computed Tomography - methods Observer Variation Quality Control Radiation Dosage Radiographic Image Interpretation, Computer-Assisted Reproducibility of Results Risk Assessment Sensitivity and Specificity Stents |
| title | Coronary artery stents: influence of adaptive statistical iterative reconstruction on image quality using 64-HDCT |
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