Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance
Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jackson, Clare E. [verfasserIn] Shirodaria, Cheerag C. [verfasserIn] Lee, Justin M. S. [verfasserIn] Francis, Jane M. [verfasserIn] Choudhury, Robin P. [verfasserIn] Channon, Keith M. [verfasserIn] Noble, J. Alison [verfasserIn] Neubauer, Stefan [verfasserIn] Robson, Matthew D. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2009 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of cardiovascular imaging - Dordrecht [u.a.] : Springer, 1985, 25(2009), 8 vom: 25. Sept. |
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| Übergeordnetes Werk: |
volume:25 ; year:2009 ; number:8 ; day:25 ; month:09 |
| Links: |
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| DOI / URN: |
10.1007/s10554-009-9495-5 |
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| Katalog-ID: |
SPR011232021 |
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| 245 | 1 | 0 | |a Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance |
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| 520 | |a Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. We have proved over a large number of subjects the superiority of this automated method for evaluating dynamic area changes over the Gold-standard manual approach. | ||
| 650 | 4 | |a Magnetic resonance imaging |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Automated analysis |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Arterial compliance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Vascular function |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Shirodaria, Cheerag C. |e verfasserin |4 aut | |
| 700 | 1 | |a Lee, Justin M. S. |e verfasserin |4 aut | |
| 700 | 1 | |a Francis, Jane M. |e verfasserin |4 aut | |
| 700 | 1 | |a Choudhury, Robin P. |e verfasserin |4 aut | |
| 700 | 1 | |a Channon, Keith M. |e verfasserin |4 aut | |
| 700 | 1 | |a Noble, J. Alison |e verfasserin |4 aut | |
| 700 | 1 | |a Neubauer, Stefan |e verfasserin |4 aut | |
| 700 | 1 | |a Robson, Matthew D. |e verfasserin |4 aut | |
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10.1007/s10554-009-9495-5 doi (DE-627)SPR011232021 (SPR)s10554-009-9495-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.85 bkl 44.64 bkl Jackson, Clare E. verfasserin aut Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. We have proved over a large number of subjects the superiority of this automated method for evaluating dynamic area changes over the Gold-standard manual approach. Magnetic resonance imaging (dpeaa)DE-He213 Automated analysis (dpeaa)DE-He213 Arterial compliance (dpeaa)DE-He213 Vascular function (dpeaa)DE-He213 Shirodaria, Cheerag C. verfasserin aut Lee, Justin M. S. verfasserin aut Francis, Jane M. verfasserin aut Choudhury, Robin P. verfasserin aut Channon, Keith M. verfasserin aut Noble, J. Alison verfasserin aut Neubauer, Stefan verfasserin aut Robson, Matthew D. verfasserin aut Enthalten in The international journal of cardiovascular imaging Dordrecht [u.a.] : Springer, 1985 25(2009), 8 vom: 25. Sept. (DE-627)320474321 (DE-600)2008950-8 1573-0743 nnns volume:25 year:2009 number:8 day:25 month:09 https://dx.doi.org/10.1007/s10554-009-9495-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE 44.64 ASE AR 25 2009 8 25 09 |
| spelling |
10.1007/s10554-009-9495-5 doi (DE-627)SPR011232021 (SPR)s10554-009-9495-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.85 bkl 44.64 bkl Jackson, Clare E. verfasserin aut Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. We have proved over a large number of subjects the superiority of this automated method for evaluating dynamic area changes over the Gold-standard manual approach. Magnetic resonance imaging (dpeaa)DE-He213 Automated analysis (dpeaa)DE-He213 Arterial compliance (dpeaa)DE-He213 Vascular function (dpeaa)DE-He213 Shirodaria, Cheerag C. verfasserin aut Lee, Justin M. S. verfasserin aut Francis, Jane M. verfasserin aut Choudhury, Robin P. verfasserin aut Channon, Keith M. verfasserin aut Noble, J. Alison verfasserin aut Neubauer, Stefan verfasserin aut Robson, Matthew D. verfasserin aut Enthalten in The international journal of cardiovascular imaging Dordrecht [u.a.] : Springer, 1985 25(2009), 8 vom: 25. Sept. (DE-627)320474321 (DE-600)2008950-8 1573-0743 nnns volume:25 year:2009 number:8 day:25 month:09 https://dx.doi.org/10.1007/s10554-009-9495-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE 44.64 ASE AR 25 2009 8 25 09 |
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10.1007/s10554-009-9495-5 doi (DE-627)SPR011232021 (SPR)s10554-009-9495-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.85 bkl 44.64 bkl Jackson, Clare E. verfasserin aut Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. We have proved over a large number of subjects the superiority of this automated method for evaluating dynamic area changes over the Gold-standard manual approach. Magnetic resonance imaging (dpeaa)DE-He213 Automated analysis (dpeaa)DE-He213 Arterial compliance (dpeaa)DE-He213 Vascular function (dpeaa)DE-He213 Shirodaria, Cheerag C. verfasserin aut Lee, Justin M. S. verfasserin aut Francis, Jane M. verfasserin aut Choudhury, Robin P. verfasserin aut Channon, Keith M. verfasserin aut Noble, J. Alison verfasserin aut Neubauer, Stefan verfasserin aut Robson, Matthew D. verfasserin aut Enthalten in The international journal of cardiovascular imaging Dordrecht [u.a.] : Springer, 1985 25(2009), 8 vom: 25. Sept. (DE-627)320474321 (DE-600)2008950-8 1573-0743 nnns volume:25 year:2009 number:8 day:25 month:09 https://dx.doi.org/10.1007/s10554-009-9495-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE 44.64 ASE AR 25 2009 8 25 09 |
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10.1007/s10554-009-9495-5 doi (DE-627)SPR011232021 (SPR)s10554-009-9495-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.85 bkl 44.64 bkl Jackson, Clare E. verfasserin aut Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. We have proved over a large number of subjects the superiority of this automated method for evaluating dynamic area changes over the Gold-standard manual approach. Magnetic resonance imaging (dpeaa)DE-He213 Automated analysis (dpeaa)DE-He213 Arterial compliance (dpeaa)DE-He213 Vascular function (dpeaa)DE-He213 Shirodaria, Cheerag C. verfasserin aut Lee, Justin M. S. verfasserin aut Francis, Jane M. verfasserin aut Choudhury, Robin P. verfasserin aut Channon, Keith M. verfasserin aut Noble, J. Alison verfasserin aut Neubauer, Stefan verfasserin aut Robson, Matthew D. verfasserin aut Enthalten in The international journal of cardiovascular imaging Dordrecht [u.a.] : Springer, 1985 25(2009), 8 vom: 25. Sept. (DE-627)320474321 (DE-600)2008950-8 1573-0743 nnns volume:25 year:2009 number:8 day:25 month:09 https://dx.doi.org/10.1007/s10554-009-9495-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE 44.64 ASE AR 25 2009 8 25 09 |
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10.1007/s10554-009-9495-5 doi (DE-627)SPR011232021 (SPR)s10554-009-9495-5-e DE-627 ger DE-627 rakwb eng 610 ASE 44.85 bkl 44.64 bkl Jackson, Clare E. verfasserin aut Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance 2009 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. We have proved over a large number of subjects the superiority of this automated method for evaluating dynamic area changes over the Gold-standard manual approach. Magnetic resonance imaging (dpeaa)DE-He213 Automated analysis (dpeaa)DE-He213 Arterial compliance (dpeaa)DE-He213 Vascular function (dpeaa)DE-He213 Shirodaria, Cheerag C. verfasserin aut Lee, Justin M. S. verfasserin aut Francis, Jane M. verfasserin aut Choudhury, Robin P. verfasserin aut Channon, Keith M. verfasserin aut Noble, J. Alison verfasserin aut Neubauer, Stefan verfasserin aut Robson, Matthew D. verfasserin aut Enthalten in The international journal of cardiovascular imaging Dordrecht [u.a.] : Springer, 1985 25(2009), 8 vom: 25. Sept. (DE-627)320474321 (DE-600)2008950-8 1573-0743 nnns volume:25 year:2009 number:8 day:25 month:09 https://dx.doi.org/10.1007/s10554-009-9495-5 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_711 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 44.85 ASE 44.64 ASE AR 25 2009 8 25 09 |
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Enthalten in The international journal of cardiovascular imaging 25(2009), 8 vom: 25. Sept. volume:25 year:2009 number:8 day:25 month:09 |
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Magnetic resonance imaging Automated analysis Arterial compliance Vascular function |
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Jackson, Clare E. @@aut@@ Shirodaria, Cheerag C. @@aut@@ Lee, Justin M. S. @@aut@@ Francis, Jane M. @@aut@@ Choudhury, Robin P. @@aut@@ Channon, Keith M. @@aut@@ Noble, J. Alison @@aut@@ Neubauer, Stefan @@aut@@ Robson, Matthew D. @@aut@@ |
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The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. 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Jackson, Clare E. |
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Jackson, Clare E. ddc 610 bkl 44.85 bkl 44.64 misc Magnetic resonance imaging misc Automated analysis misc Arterial compliance misc Vascular function Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance |
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Jackson, Clare E. |
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610 ASE 44.85 bkl 44.64 bkl Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance Magnetic resonance imaging (dpeaa)DE-He213 Automated analysis (dpeaa)DE-He213 Arterial compliance (dpeaa)DE-He213 Vascular function (dpeaa)DE-He213 |
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ddc 610 bkl 44.85 bkl 44.64 misc Magnetic resonance imaging misc Automated analysis misc Arterial compliance misc Vascular function |
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ddc 610 bkl 44.85 bkl 44.64 misc Magnetic resonance imaging misc Automated analysis misc Arterial compliance misc Vascular function |
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ddc 610 bkl 44.85 bkl 44.64 misc Magnetic resonance imaging misc Automated analysis misc Arterial compliance misc Vascular function |
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Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance |
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Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance |
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Jackson, Clare E. |
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The international journal of cardiovascular imaging |
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Jackson, Clare E. Shirodaria, Cheerag C. Lee, Justin M. S. Francis, Jane M. Choudhury, Robin P. Channon, Keith M. Noble, J. Alison Neubauer, Stefan Robson, Matthew D. |
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Jackson, Clare E. |
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reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance |
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Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance |
| abstract |
Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. We have proved over a large number of subjects the superiority of this automated method for evaluating dynamic area changes over the Gold-standard manual approach. |
| abstractGer |
Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. We have proved over a large number of subjects the superiority of this automated method for evaluating dynamic area changes over the Gold-standard manual approach. |
| abstract_unstemmed |
Abstract Bright blood cine images acquired using Magnetic Resonance Imaging contain simple contrast that is tractable to automated analysis, which can be used to derive a measure of arterial compliance that is known to correlate with disease severity. The purpose of this work was to evaluate whether automated methods could be used reliably on a clinically relevant population, and to assess the precision of these measurements so that it could be compared with expert manual assessment. In this paper we apply an algorithm similar to that used by Krug et al., and the exact processing steps are described in detail to allowing easy reproduction of our methods. Phantoms of different sizes have been assessed and the MRI measurements are found to correlate well (r = 0.9998) with physical measurement. Reproducibility assessment was performed on 33 CAD subjects in three anatomical locations along the aorta. Six normal volunteers and ten patients with more severe aortic plaques were investigated to assess reproducibility and sensitivity to pathological changes, respectively. The performance was also assessed on carotid vessels in 40 patients with known arterial plaques. In the human aorta the method is found to be robust (failing in only 7% of cases, all due to clear errors with image acquisition), and to be quantifiably consistent with expert clinical measurement, but showing smaller errors than that approach [<1.21% (5.62 $ mm^{2} $) manual vs. <0.58% (2.71 $ mm^{2} $) automated, for the aortic area] and with reduced bias, and operated correctly in advanced disease. We have proved over a large number of subjects the superiority of this automated method for evaluating dynamic area changes over the Gold-standard manual approach. |
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Reproducibility and accuracy of automated measurement for dynamic arterial lumen area by cardiovascular magnetic resonance |
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Shirodaria, Cheerag C. Lee, Justin M. S. Francis, Jane M. Choudhury, Robin P. Channon, Keith M. Noble, J. Alison Neubauer, Stefan Robson, Matthew D. |
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|
| score |
7.4012003 |