Follow-up CT and CT angiography after intracranial aneurysm clipping and coiling—improved image quality by iterative metal artifact reduction
Purpose This paper aims to evaluate a new iterative metal artifact reduction algorithm for post-interventional evaluation of brain tissue and intracranial arteries. Methods The data of 20 patients that underwent follow-up cranial CT and cranial CT angiography after clipping or coiling of an intracra...
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| Veröffentlicht in: | Neuroradiology 2017-07, Vol.59 (7), p.649-654 |
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| creator | Bier, Georg Bongers, Malte Niklas Hempel, Johann-Martin Örgel, Anja Hauser, Till-Karsten Ernemann, Ulrike Hennersdorf, Florian |
| description | Purpose
This paper aims to evaluate a new iterative metal artifact reduction algorithm for post-interventional evaluation of brain tissue and intracranial arteries.
Methods
The data of 20 patients that underwent follow-up cranial CT and cranial CT angiography after clipping or coiling of an intracranial aneurysm was retrospectively analyzed. After the images were processed using a novel iterative metal artifact reduction algorithm, images with and without metal artifact reduction were qualitatively evaluated by two readers, using a five-point Likert scale. Moreover, artifact strength was quantitatively assessed in terms of CT attenuation and standard deviation alterations.
Results
The qualitative analysis yielded a significant increase in image quality (
p
= 0.0057) in iteratively processed images with substantial inter-observer agreement (
ĸ
= 0.72), while the CTA image quality did not differ (
p
= 0.864) and even showed vessel contrast reduction in six cases (30%). The mean relative attenuation difference was 27% without metal artifact reduction vs. 11% for iterative metal artifact reduction images (
p
= 0.0003).
Conclusions
The new iterative metal artifact reduction algorithm enhances non-enhanced CT image quality after clipping or coiling, but in CT-angiography images, the contrast of adjacent vessels can be compromised. |
| doi_str_mv | 10.1007/s00234-017-1855-6 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1906137889</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1906137889</sourcerecordid><originalsourceid>FETCH-LOGICAL-c372t-f79e5003808377dd3d841cc917c38d3076f4c627610396ed0c2d3044872dd4153</originalsourceid><addsrcrecordid>eNp1kc1u1TAQhS0EopeWB2CDLLFhY-q_xM4SXdGCVIlNu7Zc2wmunDi1naLs-gZseMI-Cb6kIITU1Vg-35yZ0QHgDcEfCMbiNGNMGUeYCERk06D2GdgRzigiHcXPwa7KErGO4yPwKucbjDETTLwER1Q2EjeM7sCPsxhC_I6WGe4voZ7sVgYfh6TnbyvUfXEJ-qkkbZKevA5Vdkta8whN8PPsp-F3n4k-1PfD_U8_zineOQv9qAcHbxcdfFnh9Qp99dLF3zk4unJwSsX32hSYnF1M8XE6AS96HbJ7_ViPwdXZp8v9Z3Tx9fzL_uMFMkzQgnrRuaaeI7FkQljLrOTEmI4Iw6RlWLQ9Ny0VLcGsa53FhtZfzqWg1nLSsGPwfvOtq94uLhc1-mxcCPW4uGRFOtwSJqTsKvruP_QmLmmq21WK8K5tWsErRTbKpJhzcr2aU70_rYpgdUhLbWmpmpY6pKXa2vP20Xm5Hp392_EnngrQDchVmgaX_hn9pOsvwVKhWA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1914965674</pqid></control><display><type>article</type><title>Follow-up CT and CT angiography after intracranial aneurysm clipping and coiling—improved image quality by iterative metal artifact reduction</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Bier, Georg ; Bongers, Malte Niklas ; Hempel, Johann-Martin ; Örgel, Anja ; Hauser, Till-Karsten ; Ernemann, Ulrike ; Hennersdorf, Florian</creator><creatorcontrib>Bier, Georg ; Bongers, Malte Niklas ; Hempel, Johann-Martin ; Örgel, Anja ; Hauser, Till-Karsten ; Ernemann, Ulrike ; Hennersdorf, Florian</creatorcontrib><description>Purpose
This paper aims to evaluate a new iterative metal artifact reduction algorithm for post-interventional evaluation of brain tissue and intracranial arteries.
Methods
The data of 20 patients that underwent follow-up cranial CT and cranial CT angiography after clipping or coiling of an intracranial aneurysm was retrospectively analyzed. After the images were processed using a novel iterative metal artifact reduction algorithm, images with and without metal artifact reduction were qualitatively evaluated by two readers, using a five-point Likert scale. Moreover, artifact strength was quantitatively assessed in terms of CT attenuation and standard deviation alterations.
Results
The qualitative analysis yielded a significant increase in image quality (
p
= 0.0057) in iteratively processed images with substantial inter-observer agreement (
ĸ
= 0.72), while the CTA image quality did not differ (
p
= 0.864) and even showed vessel contrast reduction in six cases (30%). The mean relative attenuation difference was 27% without metal artifact reduction vs. 11% for iterative metal artifact reduction images (
p
= 0.0003).
Conclusions
The new iterative metal artifact reduction algorithm enhances non-enhanced CT image quality after clipping or coiling, but in CT-angiography images, the contrast of adjacent vessels can be compromised.</description><identifier>ISSN: 0028-3940</identifier><identifier>EISSN: 1432-1920</identifier><identifier>DOI: 10.1007/s00234-017-1855-6</identifier><identifier>PMID: 28580532</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Adult ; Aged ; Aged, 80 and over ; Algorithms ; Aneurysm ; Aneurysms ; Angiography ; Arteries ; Attenuation ; Blood vessels ; Brain ; Cerebral Angiography ; Coiling ; Computed tomography ; Computed Tomography Angiography ; Contrast Media ; Diagnostic Neuroradiology ; Embolization, Therapeutic - methods ; Endovascular coiling ; Female ; Humans ; Image contrast ; Image enhancement ; Image quality ; Imaging ; Intracranial Aneurysm - diagnostic imaging ; Intracranial Aneurysm - therapy ; Iopamidol - analogs & derivatives ; Male ; Medical imaging ; Medicine ; Medicine & Public Health ; Metals ; Middle Aged ; Neurology ; Neuroradiology ; Neurosciences ; Neurosurgery ; Qualitative analysis ; Radiographic Image Interpretation, Computer-Assisted ; Radiology ; Readers ; Reduction (metal working) ; Skull ; Tomography ; Tomography, X-Ray Computed ; Treatment Outcome</subject><ispartof>Neuroradiology, 2017-07, Vol.59 (7), p.649-654</ispartof><rights>Springer-Verlag Berlin Heidelberg 2017</rights><rights>Neuroradiology is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c372t-f79e5003808377dd3d841cc917c38d3076f4c627610396ed0c2d3044872dd4153</citedby><cites>FETCH-LOGICAL-c372t-f79e5003808377dd3d841cc917c38d3076f4c627610396ed0c2d3044872dd4153</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00234-017-1855-6$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00234-017-1855-6$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28580532$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bier, Georg</creatorcontrib><creatorcontrib>Bongers, Malte Niklas</creatorcontrib><creatorcontrib>Hempel, Johann-Martin</creatorcontrib><creatorcontrib>Örgel, Anja</creatorcontrib><creatorcontrib>Hauser, Till-Karsten</creatorcontrib><creatorcontrib>Ernemann, Ulrike</creatorcontrib><creatorcontrib>Hennersdorf, Florian</creatorcontrib><title>Follow-up CT and CT angiography after intracranial aneurysm clipping and coiling—improved image quality by iterative metal artifact reduction</title><title>Neuroradiology</title><addtitle>Neuroradiology</addtitle><addtitle>Neuroradiology</addtitle><description>Purpose
This paper aims to evaluate a new iterative metal artifact reduction algorithm for post-interventional evaluation of brain tissue and intracranial arteries.
Methods
The data of 20 patients that underwent follow-up cranial CT and cranial CT angiography after clipping or coiling of an intracranial aneurysm was retrospectively analyzed. After the images were processed using a novel iterative metal artifact reduction algorithm, images with and without metal artifact reduction were qualitatively evaluated by two readers, using a five-point Likert scale. Moreover, artifact strength was quantitatively assessed in terms of CT attenuation and standard deviation alterations.
Results
The qualitative analysis yielded a significant increase in image quality (
p
= 0.0057) in iteratively processed images with substantial inter-observer agreement (
ĸ
= 0.72), while the CTA image quality did not differ (
p
= 0.864) and even showed vessel contrast reduction in six cases (30%). The mean relative attenuation difference was 27% without metal artifact reduction vs. 11% for iterative metal artifact reduction images (
p
= 0.0003).
Conclusions
The new iterative metal artifact reduction algorithm enhances non-enhanced CT image quality after clipping or coiling, but in CT-angiography images, the contrast of adjacent vessels can be compromised.</description><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Algorithms</subject><subject>Aneurysm</subject><subject>Aneurysms</subject><subject>Angiography</subject><subject>Arteries</subject><subject>Attenuation</subject><subject>Blood vessels</subject><subject>Brain</subject><subject>Cerebral Angiography</subject><subject>Coiling</subject><subject>Computed tomography</subject><subject>Computed Tomography Angiography</subject><subject>Contrast Media</subject><subject>Diagnostic Neuroradiology</subject><subject>Embolization, Therapeutic - methods</subject><subject>Endovascular coiling</subject><subject>Female</subject><subject>Humans</subject><subject>Image contrast</subject><subject>Image enhancement</subject><subject>Image quality</subject><subject>Imaging</subject><subject>Intracranial Aneurysm - diagnostic imaging</subject><subject>Intracranial Aneurysm - therapy</subject><subject>Iopamidol - analogs & derivatives</subject><subject>Male</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Metals</subject><subject>Middle Aged</subject><subject>Neurology</subject><subject>Neuroradiology</subject><subject>Neurosciences</subject><subject>Neurosurgery</subject><subject>Qualitative analysis</subject><subject>Radiographic Image Interpretation, Computer-Assisted</subject><subject>Radiology</subject><subject>Readers</subject><subject>Reduction (metal working)</subject><subject>Skull</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed</subject><subject>Treatment Outcome</subject><issn>0028-3940</issn><issn>1432-1920</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp1kc1u1TAQhS0EopeWB2CDLLFhY-q_xM4SXdGCVIlNu7Zc2wmunDi1naLs-gZseMI-Cb6kIITU1Vg-35yZ0QHgDcEfCMbiNGNMGUeYCERk06D2GdgRzigiHcXPwa7KErGO4yPwKucbjDETTLwER1Q2EjeM7sCPsxhC_I6WGe4voZ7sVgYfh6TnbyvUfXEJ-qkkbZKevA5Vdkta8whN8PPsp-F3n4k-1PfD_U8_zineOQv9qAcHbxcdfFnh9Qp99dLF3zk4unJwSsX32hSYnF1M8XE6AS96HbJ7_ViPwdXZp8v9Z3Tx9fzL_uMFMkzQgnrRuaaeI7FkQljLrOTEmI4Iw6RlWLQ9Ny0VLcGsa53FhtZfzqWg1nLSsGPwfvOtq94uLhc1-mxcCPW4uGRFOtwSJqTsKvruP_QmLmmq21WK8K5tWsErRTbKpJhzcr2aU70_rYpgdUhLbWmpmpY6pKXa2vP20Xm5Hp392_EnngrQDchVmgaX_hn9pOsvwVKhWA</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Bier, Georg</creator><creator>Bongers, Malte Niklas</creator><creator>Hempel, Johann-Martin</creator><creator>Örgel, Anja</creator><creator>Hauser, Till-Karsten</creator><creator>Ernemann, Ulrike</creator><creator>Hennersdorf, Florian</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><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>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7TK</scope><scope>7U7</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2O</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>7X8</scope></search><sort><creationdate>20170701</creationdate><title>Follow-up CT and CT angiography after intracranial aneurysm clipping and coiling—improved image quality by iterative metal artifact reduction</title><author>Bier, Georg ; Bongers, Malte Niklas ; Hempel, Johann-Martin ; Örgel, Anja ; Hauser, Till-Karsten ; Ernemann, Ulrike ; Hennersdorf, Florian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c372t-f79e5003808377dd3d841cc917c38d3076f4c627610396ed0c2d3044872dd4153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Algorithms</topic><topic>Aneurysm</topic><topic>Aneurysms</topic><topic>Angiography</topic><topic>Arteries</topic><topic>Attenuation</topic><topic>Blood vessels</topic><topic>Brain</topic><topic>Cerebral Angiography</topic><topic>Coiling</topic><topic>Computed tomography</topic><topic>Computed Tomography Angiography</topic><topic>Contrast Media</topic><topic>Diagnostic Neuroradiology</topic><topic>Embolization, Therapeutic - methods</topic><topic>Endovascular coiling</topic><topic>Female</topic><topic>Humans</topic><topic>Image contrast</topic><topic>Image enhancement</topic><topic>Image quality</topic><topic>Imaging</topic><topic>Intracranial Aneurysm - diagnostic imaging</topic><topic>Intracranial Aneurysm - therapy</topic><topic>Iopamidol - analogs & derivatives</topic><topic>Male</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Metals</topic><topic>Middle Aged</topic><topic>Neurology</topic><topic>Neuroradiology</topic><topic>Neurosciences</topic><topic>Neurosurgery</topic><topic>Qualitative analysis</topic><topic>Radiographic Image Interpretation, Computer-Assisted</topic><topic>Radiology</topic><topic>Readers</topic><topic>Reduction (metal working)</topic><topic>Skull</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed</topic><topic>Treatment Outcome</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bier, Georg</creatorcontrib><creatorcontrib>Bongers, Malte Niklas</creatorcontrib><creatorcontrib>Hempel, Johann-Martin</creatorcontrib><creatorcontrib>Örgel, Anja</creatorcontrib><creatorcontrib>Hauser, Till-Karsten</creatorcontrib><creatorcontrib>Ernemann, Ulrike</creatorcontrib><creatorcontrib>Hennersdorf, Florian</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><jtitle>Neuroradiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bier, Georg</au><au>Bongers, Malte Niklas</au><au>Hempel, Johann-Martin</au><au>Örgel, Anja</au><au>Hauser, Till-Karsten</au><au>Ernemann, Ulrike</au><au>Hennersdorf, Florian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Follow-up CT and CT angiography after intracranial aneurysm clipping and coiling—improved image quality by iterative metal artifact reduction</atitle><jtitle>Neuroradiology</jtitle><stitle>Neuroradiology</stitle><addtitle>Neuroradiology</addtitle><date>2017-07-01</date><risdate>2017</risdate><volume>59</volume><issue>7</issue><spage>649</spage><epage>654</epage><pages>649-654</pages><issn>0028-3940</issn><eissn>1432-1920</eissn><abstract>Purpose
This paper aims to evaluate a new iterative metal artifact reduction algorithm for post-interventional evaluation of brain tissue and intracranial arteries.
Methods
The data of 20 patients that underwent follow-up cranial CT and cranial CT angiography after clipping or coiling of an intracranial aneurysm was retrospectively analyzed. After the images were processed using a novel iterative metal artifact reduction algorithm, images with and without metal artifact reduction were qualitatively evaluated by two readers, using a five-point Likert scale. Moreover, artifact strength was quantitatively assessed in terms of CT attenuation and standard deviation alterations.
Results
The qualitative analysis yielded a significant increase in image quality (
p
= 0.0057) in iteratively processed images with substantial inter-observer agreement (
ĸ
= 0.72), while the CTA image quality did not differ (
p
= 0.864) and even showed vessel contrast reduction in six cases (30%). The mean relative attenuation difference was 27% without metal artifact reduction vs. 11% for iterative metal artifact reduction images (
p
= 0.0003).
Conclusions
The new iterative metal artifact reduction algorithm enhances non-enhanced CT image quality after clipping or coiling, but in CT-angiography images, the contrast of adjacent vessels can be compromised.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>28580532</pmid><doi>10.1007/s00234-017-1855-6</doi><tpages>6</tpages></addata></record> |
| fulltext | fulltext |
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| ispartof | Neuroradiology, 2017-07, Vol.59 (7), p.649-654 |
| issn | 0028-3940 1432-1920 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1906137889 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Adult Aged Aged, 80 and over Algorithms Aneurysm Aneurysms Angiography Arteries Attenuation Blood vessels Brain Cerebral Angiography Coiling Computed tomography Computed Tomography Angiography Contrast Media Diagnostic Neuroradiology Embolization, Therapeutic - methods Endovascular coiling Female Humans Image contrast Image enhancement Image quality Imaging Intracranial Aneurysm - diagnostic imaging Intracranial Aneurysm - therapy Iopamidol - analogs & derivatives Male Medical imaging Medicine Medicine & Public Health Metals Middle Aged Neurology Neuroradiology Neurosciences Neurosurgery Qualitative analysis Radiographic Image Interpretation, Computer-Assisted Radiology Readers Reduction (metal working) Skull Tomography Tomography, X-Ray Computed Treatment Outcome |
| title | Follow-up CT and CT angiography after intracranial aneurysm clipping and coiling—improved image quality by iterative metal artifact reduction |
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