A post-processing method based on interphase motion correction and averaging to improve image quality of 4D magnetic resonance imaging: a clinical feasibility study
Nine patients (seven pancreas, one liver, and one lung) were recruited. 4D-MRI was performed using two prototype k-space sorted techniques, stack-of-stars (SOS) and koosh-ball (KB) acquisitions. Post-processing using MoCoAve was implemented for both methods. Image quality score, apparent SNR (aSNR),...
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| Veröffentlicht in: | British journal of radiology 2019-03, Vol.92 (1095), p.20180424-20180424 |
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| container_title | British journal of radiology |
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| creator | Deng, Zixin Pang, Jianing Lao, Yi Bi, Xiaoming Wang, Guan Chen, Yuhua Fenchel, Matthias Tuli, Richard Li, Debiao Yang, Wensha Fan, Zhaoyang |
| description | Nine patients (seven pancreas, one liver, and one lung) were recruited. 4D-MRI was performed using two prototype k-space sorted techniques, stack-of-stars (SOS) and koosh-ball (KB) acquisitions. Post-processing using MoCoAve was implemented for both methods. Image quality score, apparent SNR (aSNR), sharpness, motion trajectory and standard deviation (σ_GTV) of the gross tumor volumes were compared between original and MoCoAve image sets.
All subjects successfully underwent 4D-MRI scans and MoCoAve was performed on all data sets. Significantly higher image quality scores (2.64 ± 0.39 vs 1.18 ± 0.34, p = 0.001) and aSNR (37.6 ± 15.3 vs 18.1 ± 5.7, p = 0.001) was observed in the MoCoAve images when compared to the original images. High correlation in tumor motion trajectories in the superoinferior direction (SI: 0.91 ± 0.08) and weaker in the anteroposterior (AP: 0.51 ± 0.44) and mediolateral (ML: 0.37 ± 0.23) directions, similar image sharpness (0.367 ± 0.068 vs 0.369 ± 0.072, p = 0.805), and minimal average absolute difference (0.47 ± 0.34 mm) of the motion trajectory profiles was found between the two image sets. The σ_GTV in pancreas patients was significantly (p = 0.039) lower in MoCoAve images (1.48 ± 1.35 cm
) than in the original images (2.17 ± 1.31 cm
).
MoCoAve using interphase motion correction and averaging has shown promise as a post-processing method for improving k-space sorted (SOS and KB) 4D-MRI image quality in thoracic and abdominal cancer patients.
The proposed method is an image based post-processing method that could be applied to many k-space sorted 4D-MRI methods for improved image quality and signal-to-noise ratio while preserving image sharpness and respiratory motion fidelity. It is a useful technique for the radiotherapy planning community who are interested in using 4D-MRI but aren't satisfied with their current MR image quality. |
| doi_str_mv | 10.1259/bjr.20180424 |
| format | Article |
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All subjects successfully underwent 4D-MRI scans and MoCoAve was performed on all data sets. Significantly higher image quality scores (2.64 ± 0.39 vs 1.18 ± 0.34, p = 0.001) and aSNR (37.6 ± 15.3 vs 18.1 ± 5.7, p = 0.001) was observed in the MoCoAve images when compared to the original images. High correlation in tumor motion trajectories in the superoinferior direction (SI: 0.91 ± 0.08) and weaker in the anteroposterior (AP: 0.51 ± 0.44) and mediolateral (ML: 0.37 ± 0.23) directions, similar image sharpness (0.367 ± 0.068 vs 0.369 ± 0.072, p = 0.805), and minimal average absolute difference (0.47 ± 0.34 mm) of the motion trajectory profiles was found between the two image sets. The σ_GTV in pancreas patients was significantly (p = 0.039) lower in MoCoAve images (1.48 ± 1.35 cm
) than in the original images (2.17 ± 1.31 cm
).
MoCoAve using interphase motion correction and averaging has shown promise as a post-processing method for improving k-space sorted (SOS and KB) 4D-MRI image quality in thoracic and abdominal cancer patients.
The proposed method is an image based post-processing method that could be applied to many k-space sorted 4D-MRI methods for improved image quality and signal-to-noise ratio while preserving image sharpness and respiratory motion fidelity. It is a useful technique for the radiotherapy planning community who are interested in using 4D-MRI but aren't satisfied with their current MR image quality.</description><identifier>ISSN: 0007-1285</identifier><identifier>EISSN: 1748-880X</identifier><identifier>DOI: 10.1259/bjr.20180424</identifier><identifier>PMID: 30604622</identifier><language>eng</language><publisher>England: The British Institute of Radiology</publisher><subject>Abdominal Neoplasms - diagnostic imaging ; Adult ; Aged ; Feasibility Studies ; Female ; Humans ; Image Enhancement - methods ; Lung Neoplasms - diagnostic imaging ; Magnetic Resonance Imaging - methods ; Male ; Middle Aged ; Respiratory-Gated Imaging Techniques - methods ; Signal-To-Noise Ratio</subject><ispartof>British journal of radiology, 2019-03, Vol.92 (1095), p.20180424-20180424</ispartof><rights>2019 The Authors. Published by the British Institute of Radiology 2019 The Authors</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c384t-70cfa1a1afde1f32b51d09d75932d7cd7b6e57cb512f9672a7926a7639b8bf233</citedby><cites>FETCH-LOGICAL-c384t-70cfa1a1afde1f32b51d09d75932d7cd7b6e57cb512f9672a7926a7639b8bf233</cites><orcidid>0000-0002-2693-0260</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30604622$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Deng, Zixin</creatorcontrib><creatorcontrib>Pang, Jianing</creatorcontrib><creatorcontrib>Lao, Yi</creatorcontrib><creatorcontrib>Bi, Xiaoming</creatorcontrib><creatorcontrib>Wang, Guan</creatorcontrib><creatorcontrib>Chen, Yuhua</creatorcontrib><creatorcontrib>Fenchel, Matthias</creatorcontrib><creatorcontrib>Tuli, Richard</creatorcontrib><creatorcontrib>Li, Debiao</creatorcontrib><creatorcontrib>Yang, Wensha</creatorcontrib><creatorcontrib>Fan, Zhaoyang</creatorcontrib><title>A post-processing method based on interphase motion correction and averaging to improve image quality of 4D magnetic resonance imaging: a clinical feasibility study</title><title>British journal of radiology</title><addtitle>Br J Radiol</addtitle><description>Nine patients (seven pancreas, one liver, and one lung) were recruited. 4D-MRI was performed using two prototype k-space sorted techniques, stack-of-stars (SOS) and koosh-ball (KB) acquisitions. Post-processing using MoCoAve was implemented for both methods. Image quality score, apparent SNR (aSNR), sharpness, motion trajectory and standard deviation (σ_GTV) of the gross tumor volumes were compared between original and MoCoAve image sets.
All subjects successfully underwent 4D-MRI scans and MoCoAve was performed on all data sets. Significantly higher image quality scores (2.64 ± 0.39 vs 1.18 ± 0.34, p = 0.001) and aSNR (37.6 ± 15.3 vs 18.1 ± 5.7, p = 0.001) was observed in the MoCoAve images when compared to the original images. High correlation in tumor motion trajectories in the superoinferior direction (SI: 0.91 ± 0.08) and weaker in the anteroposterior (AP: 0.51 ± 0.44) and mediolateral (ML: 0.37 ± 0.23) directions, similar image sharpness (0.367 ± 0.068 vs 0.369 ± 0.072, p = 0.805), and minimal average absolute difference (0.47 ± 0.34 mm) of the motion trajectory profiles was found between the two image sets. The σ_GTV in pancreas patients was significantly (p = 0.039) lower in MoCoAve images (1.48 ± 1.35 cm
) than in the original images (2.17 ± 1.31 cm
).
MoCoAve using interphase motion correction and averaging has shown promise as a post-processing method for improving k-space sorted (SOS and KB) 4D-MRI image quality in thoracic and abdominal cancer patients.
The proposed method is an image based post-processing method that could be applied to many k-space sorted 4D-MRI methods for improved image quality and signal-to-noise ratio while preserving image sharpness and respiratory motion fidelity. It is a useful technique for the radiotherapy planning community who are interested in using 4D-MRI but aren't satisfied with their current MR image quality.</description><subject>Abdominal Neoplasms - diagnostic imaging</subject><subject>Adult</subject><subject>Aged</subject><subject>Feasibility Studies</subject><subject>Female</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Lung Neoplasms - diagnostic imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Respiratory-Gated Imaging Techniques - methods</subject><subject>Signal-To-Noise Ratio</subject><issn>0007-1285</issn><issn>1748-880X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpVUU1P3DAUtCqqsqW99Yx85ECoP5I44YCEoF8SUi-t1Jvl2M-7RokdbGel_T_9ofWygKh8eH7jmXnPGoQ-UXJBWdN_Hu7jBSO0IzWr36AVFXVXdR35c4RWhBBRUdY1x-h9Svf7tunJO3TMSUvqlrEV-nuN55ByNcegISXn13iCvAkGDyqBwcFj5zPEeVNaPIXsCqJDjKAfr8obrLYQ1XovzQG7qVhtoVS1BvywqNHlHQ4W17e4QB6y0zhCCl55faAV5SVWWI_OO61GbEElN7hHYcqL2X1Ab60aE3x8qifo99cvv26-V3c_v_24ub6rNO_qXAmiraLlWAPUcjY01JDelD9zZoQ2YmihEbrAzPatYEr0rFWi5f3QDZZxfoKuDr7zMkxgNPgc1SjnWLaMOxmUk_-_eLeR67CVbVNTKrpicPZkEMPDAinLySUN46g8hCVJRltOKGO8L9TzA1XHkFIE-zKGErkPVpZg5XOwhX76erUX8nOS_B96JKPP</recordid><startdate>201903</startdate><enddate>201903</enddate><creator>Deng, Zixin</creator><creator>Pang, Jianing</creator><creator>Lao, Yi</creator><creator>Bi, Xiaoming</creator><creator>Wang, Guan</creator><creator>Chen, Yuhua</creator><creator>Fenchel, Matthias</creator><creator>Tuli, Richard</creator><creator>Li, Debiao</creator><creator>Yang, Wensha</creator><creator>Fan, Zhaoyang</creator><general>The British Institute of Radiology</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>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-2693-0260</orcidid></search><sort><creationdate>201903</creationdate><title>A post-processing method based on interphase motion correction and averaging to improve image quality of 4D magnetic resonance imaging: a clinical feasibility study</title><author>Deng, Zixin ; Pang, Jianing ; Lao, Yi ; Bi, Xiaoming ; Wang, Guan ; Chen, Yuhua ; Fenchel, Matthias ; Tuli, Richard ; Li, Debiao ; Yang, Wensha ; Fan, Zhaoyang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-70cfa1a1afde1f32b51d09d75932d7cd7b6e57cb512f9672a7926a7639b8bf233</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Abdominal Neoplasms - diagnostic imaging</topic><topic>Adult</topic><topic>Aged</topic><topic>Feasibility Studies</topic><topic>Female</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Lung Neoplasms - diagnostic imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Respiratory-Gated Imaging Techniques - methods</topic><topic>Signal-To-Noise Ratio</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Deng, Zixin</creatorcontrib><creatorcontrib>Pang, Jianing</creatorcontrib><creatorcontrib>Lao, Yi</creatorcontrib><creatorcontrib>Bi, Xiaoming</creatorcontrib><creatorcontrib>Wang, Guan</creatorcontrib><creatorcontrib>Chen, Yuhua</creatorcontrib><creatorcontrib>Fenchel, Matthias</creatorcontrib><creatorcontrib>Tuli, Richard</creatorcontrib><creatorcontrib>Li, Debiao</creatorcontrib><creatorcontrib>Yang, Wensha</creatorcontrib><creatorcontrib>Fan, Zhaoyang</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><collection>PubMed Central (Full Participant titles)</collection><jtitle>British journal of radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Deng, Zixin</au><au>Pang, Jianing</au><au>Lao, Yi</au><au>Bi, Xiaoming</au><au>Wang, Guan</au><au>Chen, Yuhua</au><au>Fenchel, Matthias</au><au>Tuli, Richard</au><au>Li, Debiao</au><au>Yang, Wensha</au><au>Fan, Zhaoyang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A post-processing method based on interphase motion correction and averaging to improve image quality of 4D magnetic resonance imaging: a clinical feasibility study</atitle><jtitle>British journal of radiology</jtitle><addtitle>Br J Radiol</addtitle><date>2019-03</date><risdate>2019</risdate><volume>92</volume><issue>1095</issue><spage>20180424</spage><epage>20180424</epage><pages>20180424-20180424</pages><issn>0007-1285</issn><eissn>1748-880X</eissn><abstract>Nine patients (seven pancreas, one liver, and one lung) were recruited. 4D-MRI was performed using two prototype k-space sorted techniques, stack-of-stars (SOS) and koosh-ball (KB) acquisitions. Post-processing using MoCoAve was implemented for both methods. Image quality score, apparent SNR (aSNR), sharpness, motion trajectory and standard deviation (σ_GTV) of the gross tumor volumes were compared between original and MoCoAve image sets.
All subjects successfully underwent 4D-MRI scans and MoCoAve was performed on all data sets. Significantly higher image quality scores (2.64 ± 0.39 vs 1.18 ± 0.34, p = 0.001) and aSNR (37.6 ± 15.3 vs 18.1 ± 5.7, p = 0.001) was observed in the MoCoAve images when compared to the original images. High correlation in tumor motion trajectories in the superoinferior direction (SI: 0.91 ± 0.08) and weaker in the anteroposterior (AP: 0.51 ± 0.44) and mediolateral (ML: 0.37 ± 0.23) directions, similar image sharpness (0.367 ± 0.068 vs 0.369 ± 0.072, p = 0.805), and minimal average absolute difference (0.47 ± 0.34 mm) of the motion trajectory profiles was found between the two image sets. The σ_GTV in pancreas patients was significantly (p = 0.039) lower in MoCoAve images (1.48 ± 1.35 cm
) than in the original images (2.17 ± 1.31 cm
).
MoCoAve using interphase motion correction and averaging has shown promise as a post-processing method for improving k-space sorted (SOS and KB) 4D-MRI image quality in thoracic and abdominal cancer patients.
The proposed method is an image based post-processing method that could be applied to many k-space sorted 4D-MRI methods for improved image quality and signal-to-noise ratio while preserving image sharpness and respiratory motion fidelity. It is a useful technique for the radiotherapy planning community who are interested in using 4D-MRI but aren't satisfied with their current MR image quality.</abstract><cop>England</cop><pub>The British Institute of Radiology</pub><pmid>30604622</pmid><doi>10.1259/bjr.20180424</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-2693-0260</orcidid><oa>free_for_read</oa></addata></record> |
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| source | Oxford University Press Journals All Titles (1996-Current); MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Abdominal Neoplasms - diagnostic imaging Adult Aged Feasibility Studies Female Humans Image Enhancement - methods Lung Neoplasms - diagnostic imaging Magnetic Resonance Imaging - methods Male Middle Aged Respiratory-Gated Imaging Techniques - methods Signal-To-Noise Ratio |
| title | A post-processing method based on interphase motion correction and averaging to improve image quality of 4D magnetic resonance imaging: a clinical feasibility study |
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