Real-time 3D fusion echocardiography.

OBJECTIVES: This study assessed 3-dimensional fusion echocardiography (3DFE), combining several real-time 3-dimensional echocardiography (RT3DE) full volumes from different transducer positions, for improvement in quality and completeness of the reconstructed image. BACKGROUND: The RT3DE technique...

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المؤلفون الرئيسيون: Szmigielski, C, Rajpoot, K, Grau, V, Myerson, S, Holloway, C, Noble, J, Kerber, R, Becher, H
التنسيق: Journal article
اللغة:English
منشور في: 2010
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author Szmigielski, C
Rajpoot, K
Grau, V
Myerson, S
Holloway, C
Noble, J
Kerber, R
Becher, H
author_facet Szmigielski, C
Rajpoot, K
Grau, V
Myerson, S
Holloway, C
Noble, J
Kerber, R
Becher, H
author_sort Szmigielski, C
collection OXFORD
description OBJECTIVES: This study assessed 3-dimensional fusion echocardiography (3DFE), combining several real-time 3-dimensional echocardiography (RT3DE) full volumes from different transducer positions, for improvement in quality and completeness of the reconstructed image. BACKGROUND: The RT3DE technique has limited image quality and completeness of datasets even with current matrix transducers. METHODS: RT3DE datasets were acquired in 32 participants (mean age 33.7 +/- 18.8 years; 27 men, 5 women). The 3DFE technique was also performed on a cardiac phantom. The endocardial border definition of RT3DE and 3DFE segments was graded for quality: good (2), intermediate (1), poor (0), or out of sector. Short-axis and apical images were compared in RT3DE and 3DFE, yielding 2,048 segments. The images were processed to generate 3DFE and then compared with cardiac magnetic resonance. RESULTS: In the heart phantom, fused datasets showed improved contrast to noise ratio from 49.4 +/- 25.1 (single dataset) to 125.4 +/- 25.1 (6 datasets fused together). In subjects, more segments were graded as good quality with 3DFE (805 vs. 435; p < 0.0001) and fewer as intermediate (184 vs. 283; p = 0.017), poor (31 vs. 265; p < 0.0001), or out of sector (4 vs. 41; p < 0.001) compared with the single 3-dimensional dataset. End-diastolic volume (EDV) and end-systolic volume (ESV) obtained from 3-dimensional fused datasets were equivalent to those from single datasets (EDV 118.2 +/- 39 ml vs. 119.7 +/- 43 ml; p = 0.41; ESV 48.1 +/- 30 ml vs. 48.4 +/- 35 ml; p = 0.87; ejection fraction [EF] 61.0 +/- 10% vs. 61.8 +/- 10%; p = 0.44). Bland-Altman analysis showed good 95% limits of agreement for the nonfused datasets (EDV +/-46 ml; ESV +/-36 ml; EF +/-14%) and the fused datasets (EDV +/-45 ml; ESV +/-35 ml; EF +/-16%), when compared with cardiac magnetic resonance. CONCLUSIONS: Fusion of full-volume datasets resulted in an improvement in endocardial borders, image quality, and completeness of the datasets.
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spelling oxford-uuid:df5b7e25-543e-43e3-9db8-09259777852f2022-03-27T09:38:54ZReal-time 3D fusion echocardiography.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:df5b7e25-543e-43e3-9db8-09259777852fEnglishSymplectic Elements at Oxford2010Szmigielski, CRajpoot, KGrau, VMyerson, SHolloway, CNoble, JKerber, RBecher, H OBJECTIVES: This study assessed 3-dimensional fusion echocardiography (3DFE), combining several real-time 3-dimensional echocardiography (RT3DE) full volumes from different transducer positions, for improvement in quality and completeness of the reconstructed image. BACKGROUND: The RT3DE technique has limited image quality and completeness of datasets even with current matrix transducers. METHODS: RT3DE datasets were acquired in 32 participants (mean age 33.7 +/- 18.8 years; 27 men, 5 women). The 3DFE technique was also performed on a cardiac phantom. The endocardial border definition of RT3DE and 3DFE segments was graded for quality: good (2), intermediate (1), poor (0), or out of sector. Short-axis and apical images were compared in RT3DE and 3DFE, yielding 2,048 segments. The images were processed to generate 3DFE and then compared with cardiac magnetic resonance. RESULTS: In the heart phantom, fused datasets showed improved contrast to noise ratio from 49.4 +/- 25.1 (single dataset) to 125.4 +/- 25.1 (6 datasets fused together). In subjects, more segments were graded as good quality with 3DFE (805 vs. 435; p < 0.0001) and fewer as intermediate (184 vs. 283; p = 0.017), poor (31 vs. 265; p < 0.0001), or out of sector (4 vs. 41; p < 0.001) compared with the single 3-dimensional dataset. End-diastolic volume (EDV) and end-systolic volume (ESV) obtained from 3-dimensional fused datasets were equivalent to those from single datasets (EDV 118.2 +/- 39 ml vs. 119.7 +/- 43 ml; p = 0.41; ESV 48.1 +/- 30 ml vs. 48.4 +/- 35 ml; p = 0.87; ejection fraction [EF] 61.0 +/- 10% vs. 61.8 +/- 10%; p = 0.44). Bland-Altman analysis showed good 95% limits of agreement for the nonfused datasets (EDV +/-46 ml; ESV +/-36 ml; EF +/-14%) and the fused datasets (EDV +/-45 ml; ESV +/-35 ml; EF +/-16%), when compared with cardiac magnetic resonance. CONCLUSIONS: Fusion of full-volume datasets resulted in an improvement in endocardial borders, image quality, and completeness of the datasets.
spellingShingle Szmigielski, C
Rajpoot, K
Grau, V
Myerson, S
Holloway, C
Noble, J
Kerber, R
Becher, H
Real-time 3D fusion echocardiography.
title Real-time 3D fusion echocardiography.
title_full Real-time 3D fusion echocardiography.
title_fullStr Real-time 3D fusion echocardiography.
title_full_unstemmed Real-time 3D fusion echocardiography.
title_short Real-time 3D fusion echocardiography.
title_sort real time 3d fusion echocardiography
work_keys_str_mv AT szmigielskic realtime3dfusionechocardiography
AT rajpootk realtime3dfusionechocardiography
AT grauv realtime3dfusionechocardiography
AT myersons realtime3dfusionechocardiography
AT hollowayc realtime3dfusionechocardiography
AT noblej realtime3dfusionechocardiography
AT kerberr realtime3dfusionechocardiography
AT becherh realtime3dfusionechocardiography