A study to quantify the effect of patient motion and develop methods to detect and correct for motion during myocardial perfusion imaging on a CZT solid-state dedicated cardiac camera
Due to differences in the design and acquisition parameters on the solid-state CZT cardiac camera the effect of patient motion may vary compared to Anger cameras. This study evaluates the effect of motion, two new methods of three-dimensional (3D) motion detection and a method of motion correction....
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| Veröffentlicht in: | Journal of nuclear cardiology 2016-06, Vol.23 (3), p.514-526 |
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| container_title | Journal of nuclear cardiology |
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| creator | Redgate, Shelley Barber, David C. Fenner, John W. Al-Mohammad, Abdallah Taylor, Jonathon C. Hanney, Michael B. Tindale, Wendy B. |
| description | Due to differences in the design and acquisition parameters on the solid-state CZT cardiac camera the effect of patient motion may vary compared to Anger cameras. This study evaluates the effect of motion, two new methods of three-dimensional (3D) motion detection and a method of motion correction.
Phantom acquisitions were offset in the X, Y, and Z directions and combined to simulate different types of motion. Motion artifacts were identified using the total perfusion defect and blinded visual interpretation. Motion was detected by registering planar and reconstructed 30 second images, and corrected by summing the aligned reconstructed images. Validation was performed on phantom data. These techniques were then applied to 40 patient studies.
Motion ≥10 mm and ≥60 seconds in duration introduced significant artifacts. There was no significant difference (P = .258) between the two methods of motion detection. Motion correction removed artifacts from 9/10 phantom simulations. Superior-inferior motion ≥8 mm was measured on 10% of patient studies, and 5% were affected by motion. Motion in the lateral and anterior-posterior directions was |
| doi_str_mv | 10.1007/s12350-015-0314-1 |
| format | Article |
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Phantom acquisitions were offset in the X, Y, and Z directions and combined to simulate different types of motion. Motion artifacts were identified using the total perfusion defect and blinded visual interpretation. Motion was detected by registering planar and reconstructed 30 second images, and corrected by summing the aligned reconstructed images. Validation was performed on phantom data. These techniques were then applied to 40 patient studies.
Motion ≥10 mm and ≥60 seconds in duration introduced significant artifacts. There was no significant difference (P = .258) between the two methods of motion detection. Motion correction removed artifacts from 9/10 phantom simulations. Superior-inferior motion ≥8 mm was measured on 10% of patient studies, and 5% were affected by motion. Motion in the lateral and anterior-posterior directions was <8 mm.
Superior-inferior patient motion artifacts have been identified on myocardial perfusion images acquired on a CZT camera. Routine QC to identify studies with significant motion is recommended.</description><identifier>ISSN: 1071-3581</identifier><identifier>EISSN: 1532-6551</identifier><identifier>DOI: 10.1007/s12350-015-0314-1</identifier><identifier>PMID: 26684196</identifier><language>eng</language><publisher>New York: Elsevier Inc</publisher><subject>Cadmium ; Cardiac-Gated Imaging Techniques - methods ; Cardiology ; CZT gamma camera ; Equipment Design ; Equipment Failure Analysis ; Gamma Cameras ; Humans ; image artifacts ; Image Enhancement - instrumentation ; Image Enhancement - methods ; Imaging ; Imaging, Three-Dimensional - instrumentation ; Imaging, Three-Dimensional - methods ; Medicine ; Medicine & Public Health ; Motion ; motion correction ; myocardial perfusion imaging ; Myocardial Perfusion Imaging - instrumentation ; Myocardial Perfusion Imaging - methods ; Nuclear Medicine ; Original Article ; patient motion ; Phantoms, Imaging ; Radiology ; Radionuclide Imaging - instrumentation ; Radionuclide Imaging - methods ; Reproducibility of Results ; Semiconductors ; Sensitivity and Specificity ; Tellurium ; Zinc</subject><ispartof>Journal of nuclear cardiology, 2016-06, Vol.23 (3), p.514-526</ispartof><rights>2016 American Society of Nuclear Cardiology. Published by ELSEVIER INC. All rights reserved.</rights><rights>American Society of Nuclear Cardiology 2015</rights><rights>American Society of Nuclear Cardiology 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c424t-c271a562c6d62836f143b934bcee98a6ae0f5dabae450eba585eac94595543df3</citedby><cites>FETCH-LOGICAL-c424t-c271a562c6d62836f143b934bcee98a6ae0f5dabae450eba585eac94595543df3</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/s12350-015-0314-1$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12350-015-0314-1$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/26684196$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Redgate, Shelley</creatorcontrib><creatorcontrib>Barber, David C.</creatorcontrib><creatorcontrib>Fenner, John W.</creatorcontrib><creatorcontrib>Al-Mohammad, Abdallah</creatorcontrib><creatorcontrib>Taylor, Jonathon C.</creatorcontrib><creatorcontrib>Hanney, Michael B.</creatorcontrib><creatorcontrib>Tindale, Wendy B.</creatorcontrib><title>A study to quantify the effect of patient motion and develop methods to detect and correct for motion during myocardial perfusion imaging on a CZT solid-state dedicated cardiac camera</title><title>Journal of nuclear cardiology</title><addtitle>J. Nucl. Cardiol</addtitle><addtitle>J Nucl Cardiol</addtitle><description>Due to differences in the design and acquisition parameters on the solid-state CZT cardiac camera the effect of patient motion may vary compared to Anger cameras. This study evaluates the effect of motion, two new methods of three-dimensional (3D) motion detection and a method of motion correction.
Phantom acquisitions were offset in the X, Y, and Z directions and combined to simulate different types of motion. Motion artifacts were identified using the total perfusion defect and blinded visual interpretation. Motion was detected by registering planar and reconstructed 30 second images, and corrected by summing the aligned reconstructed images. Validation was performed on phantom data. These techniques were then applied to 40 patient studies.
Motion ≥10 mm and ≥60 seconds in duration introduced significant artifacts. There was no significant difference (P = .258) between the two methods of motion detection. Motion correction removed artifacts from 9/10 phantom simulations. Superior-inferior motion ≥8 mm was measured on 10% of patient studies, and 5% were affected by motion. Motion in the lateral and anterior-posterior directions was <8 mm.
Superior-inferior patient motion artifacts have been identified on myocardial perfusion images acquired on a CZT camera. Routine QC to identify studies with significant motion is recommended.</description><subject>Cadmium</subject><subject>Cardiac-Gated Imaging Techniques - methods</subject><subject>Cardiology</subject><subject>CZT gamma camera</subject><subject>Equipment Design</subject><subject>Equipment Failure Analysis</subject><subject>Gamma Cameras</subject><subject>Humans</subject><subject>image artifacts</subject><subject>Image Enhancement - instrumentation</subject><subject>Image Enhancement - methods</subject><subject>Imaging</subject><subject>Imaging, Three-Dimensional - instrumentation</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Motion</subject><subject>motion correction</subject><subject>myocardial perfusion imaging</subject><subject>Myocardial Perfusion Imaging - instrumentation</subject><subject>Myocardial Perfusion Imaging - methods</subject><subject>Nuclear Medicine</subject><subject>Original Article</subject><subject>patient motion</subject><subject>Phantoms, Imaging</subject><subject>Radiology</subject><subject>Radionuclide Imaging - instrumentation</subject><subject>Radionuclide Imaging - methods</subject><subject>Reproducibility of Results</subject><subject>Semiconductors</subject><subject>Sensitivity and Specificity</subject><subject>Tellurium</subject><subject>Zinc</subject><issn>1071-3581</issn><issn>1532-6551</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp9kU1rFjEUhQdRbK3-ADcScONmNJl8zARX5cUvKLipGzchk9y0KTOTaZIpvL_Mv2fitCIuuroX7nNOwjlN85rg9wTj_kMiHeW4xYS3mBLWkifNKeG0awXn5GnZcU9aygdy0rxI6QZjLKmUz5uTToiBESlOm1_nKOXNHlEO6HbTS_au7NeAwDkwGQWHVp09LBnNIfuwIL1YZOEOprCiGfJ1sKmKLeTK16sJMdbdhfggslv0yxWaj8HoaL2e0ArRbane_Kyv6rF6o8PPS5TC5G2bss5QbK03ZSmuf4SmzBmiftk8c3pK8Op-njU_Pn-6PHxtL75_-XY4v2gN61huTdcTzUVnhBXdQIUjjI6SstEAyEELDdhxq0cNjGMYNR84aCMZl5wzah09a97tvmsMtxukrGafDEyTXiBsSZF-kJgNXU8L-vY_9CZscSm_q9QgZE8lKRTZKRNDShGcWmNJIB4Vwaq2qvZWVWlV1VZV1by5d97GGexfxUONBeh2IK01Z4j_PP2I68ddBCW_O19EyZSiTUm81qds8I-ofwOIkMM3</recordid><startdate>20160601</startdate><enddate>20160601</enddate><creator>Redgate, Shelley</creator><creator>Barber, David C.</creator><creator>Fenner, John W.</creator><creator>Al-Mohammad, Abdallah</creator><creator>Taylor, Jonathon C.</creator><creator>Hanney, Michael B.</creator><creator>Tindale, Wendy B.</creator><general>Elsevier Inc</general><general>Springer US</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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20160601</creationdate><title>A study to quantify the effect of patient motion and develop methods to detect and correct for motion during myocardial perfusion imaging on a CZT solid-state dedicated cardiac camera</title><author>Redgate, Shelley ; Barber, David C. ; Fenner, John W. ; Al-Mohammad, Abdallah ; Taylor, Jonathon C. ; Hanney, Michael B. ; Tindale, Wendy B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c424t-c271a562c6d62836f143b934bcee98a6ae0f5dabae450eba585eac94595543df3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Cadmium</topic><topic>Cardiac-Gated Imaging Techniques - methods</topic><topic>Cardiology</topic><topic>CZT gamma camera</topic><topic>Equipment Design</topic><topic>Equipment Failure Analysis</topic><topic>Gamma Cameras</topic><topic>Humans</topic><topic>image artifacts</topic><topic>Image Enhancement - instrumentation</topic><topic>Image Enhancement - methods</topic><topic>Imaging</topic><topic>Imaging, Three-Dimensional - instrumentation</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Motion</topic><topic>motion correction</topic><topic>myocardial perfusion imaging</topic><topic>Myocardial Perfusion Imaging - instrumentation</topic><topic>Myocardial Perfusion Imaging - methods</topic><topic>Nuclear Medicine</topic><topic>Original Article</topic><topic>patient motion</topic><topic>Phantoms, Imaging</topic><topic>Radiology</topic><topic>Radionuclide Imaging - instrumentation</topic><topic>Radionuclide Imaging - methods</topic><topic>Reproducibility of Results</topic><topic>Semiconductors</topic><topic>Sensitivity and Specificity</topic><topic>Tellurium</topic><topic>Zinc</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Redgate, Shelley</creatorcontrib><creatorcontrib>Barber, David C.</creatorcontrib><creatorcontrib>Fenner, John W.</creatorcontrib><creatorcontrib>Al-Mohammad, Abdallah</creatorcontrib><creatorcontrib>Taylor, Jonathon C.</creatorcontrib><creatorcontrib>Hanney, Michael B.</creatorcontrib><creatorcontrib>Tindale, Wendy B.</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>Nursing & Allied Health Database</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>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</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>MEDLINE - Academic</collection><jtitle>Journal of nuclear cardiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Redgate, Shelley</au><au>Barber, David C.</au><au>Fenner, John W.</au><au>Al-Mohammad, Abdallah</au><au>Taylor, Jonathon C.</au><au>Hanney, Michael B.</au><au>Tindale, Wendy B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A study to quantify the effect of patient motion and develop methods to detect and correct for motion during myocardial perfusion imaging on a CZT solid-state dedicated cardiac camera</atitle><jtitle>Journal of nuclear cardiology</jtitle><stitle>J. Nucl. Cardiol</stitle><addtitle>J Nucl Cardiol</addtitle><date>2016-06-01</date><risdate>2016</risdate><volume>23</volume><issue>3</issue><spage>514</spage><epage>526</epage><pages>514-526</pages><issn>1071-3581</issn><eissn>1532-6551</eissn><abstract>Due to differences in the design and acquisition parameters on the solid-state CZT cardiac camera the effect of patient motion may vary compared to Anger cameras. This study evaluates the effect of motion, two new methods of three-dimensional (3D) motion detection and a method of motion correction.
Phantom acquisitions were offset in the X, Y, and Z directions and combined to simulate different types of motion. Motion artifacts were identified using the total perfusion defect and blinded visual interpretation. Motion was detected by registering planar and reconstructed 30 second images, and corrected by summing the aligned reconstructed images. Validation was performed on phantom data. These techniques were then applied to 40 patient studies.
Motion ≥10 mm and ≥60 seconds in duration introduced significant artifacts. There was no significant difference (P = .258) between the two methods of motion detection. Motion correction removed artifacts from 9/10 phantom simulations. Superior-inferior motion ≥8 mm was measured on 10% of patient studies, and 5% were affected by motion. Motion in the lateral and anterior-posterior directions was <8 mm.
Superior-inferior patient motion artifacts have been identified on myocardial perfusion images acquired on a CZT camera. Routine QC to identify studies with significant motion is recommended.</abstract><cop>New York</cop><pub>Elsevier Inc</pub><pmid>26684196</pmid><doi>10.1007/s12350-015-0314-1</doi><tpages>13</tpages></addata></record> |
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| ispartof | Journal of nuclear cardiology, 2016-06, Vol.23 (3), p.514-526 |
| issn | 1071-3581 1532-6551 |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Cadmium Cardiac-Gated Imaging Techniques - methods Cardiology CZT gamma camera Equipment Design Equipment Failure Analysis Gamma Cameras Humans image artifacts Image Enhancement - instrumentation Image Enhancement - methods Imaging Imaging, Three-Dimensional - instrumentation Imaging, Three-Dimensional - methods Medicine Medicine & Public Health Motion motion correction myocardial perfusion imaging Myocardial Perfusion Imaging - instrumentation Myocardial Perfusion Imaging - methods Nuclear Medicine Original Article patient motion Phantoms, Imaging Radiology Radionuclide Imaging - instrumentation Radionuclide Imaging - methods Reproducibility of Results Semiconductors Sensitivity and Specificity Tellurium Zinc |
| title | A study to quantify the effect of patient motion and develop methods to detect and correct for motion during myocardial perfusion imaging on a CZT solid-state dedicated cardiac camera |
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