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Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI

Cine MRI is a clinical reference standard for the quantitative assessment of cardiac function, but reproducibility is confounded by motion artefacts. We explore the feasibility of a motion corrected 3D left ventricle (LV) quantification method, incorporating multislice image registration into the 3D...

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主要な著者: Liew, Yih Miin, McLaughlin, R.A., Chan, B.T., Aziz, Y.F.A., Chee, K.H., Ung, N.M., Tan, L.K., Lai, K.W., Ng, S., Lim, E.
フォーマット: 論文
言語:English
出版事項: IOP Publishing 2015
主題:
T Technology (General)
TA Engineering (General). Civil engineering (General)
オンライン･アクセス:http://eprints.um.edu.my/15667/1/Motion_corrected_LV_quantification_based_on_3D_modelling_for_improved_functional_assessment.pdf
http://eprints.um.edu.my/15667/
http://www.ncbi.nlm.nih.gov/pubmed/25768708
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spelling my.um.eprints.156672020-01-03T04:19:37Z http://eprints.um.edu.my/15667/ Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI Liew, Yih Miin McLaughlin, R.A. Chan, B.T. Aziz, Y.F.A. Chee, K.H. Ung, N.M. Tan, L.K. Lai, K.W. Ng, S. Lim, E. T Technology (General) TA Engineering (General). Civil engineering (General) Cine MRI is a clinical reference standard for the quantitative assessment of cardiac function, but reproducibility is confounded by motion artefacts. We explore the feasibility of a motion corrected 3D left ventricle (LV) quantification method, incorporating multislice image registration into the 3D model reconstruction, to improve reproducibility of 3D LV functional quantification. Multi-breath-hold short-axis and radial long-axis images were acquired from 10 patients and 10 healthy subjects. The proposed framework reduced misalignment between slices to subpixel accuracy (2.88 to 1.21 mm), and improved interstudy reproducibility for 5 important clinical functional measures, i.e. end-diastolic volume, end-systolic volume, ejection fraction, myocardial mass and 3D-sphericity index, as reflected in a reduction in the sample size required to detect statistically significant cardiac changes: a reduction of 21-66. Our investigation on the optimum registration parameters, including both cardiac time frames and number of long-axis (LA) slices, suggested that a single time frame is adequate for motion correction whereas integrating more LA slices can improve registration and model reconstruction accuracy for improved functional quantification especially on datasets with severe motion artefacts. IOP Publishing 2015 Article PeerReviewed application/pdf en http://eprints.um.edu.my/15667/1/Motion_corrected_LV_quantification_based_on_3D_modelling_for_improved_functional_assessment.pdf Liew, Yih Miin and McLaughlin, R.A. and Chan, B.T. and Aziz, Y.F.A. and Chee, K.H. and Ung, N.M. and Tan, L.K. and Lai, K.W. and Ng, S. and Lim, E. (2015) Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI. Physics in Medicine & Biology, 60 (7). pp. 2715-2733. ISSN 0031-9155 http://www.ncbi.nlm.nih.gov/pubmed/25768708 10.1088/0031-9155/60/7/2715
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
language English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
Liew, Yih Miin
McLaughlin, R.A.
Chan, B.T.
Aziz, Y.F.A.
Chee, K.H.
Ung, N.M.
Tan, L.K.
Lai, K.W.
Ng, S.
Lim, E.
Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI
description Cine MRI is a clinical reference standard for the quantitative assessment of cardiac function, but reproducibility is confounded by motion artefacts. We explore the feasibility of a motion corrected 3D left ventricle (LV) quantification method, incorporating multislice image registration into the 3D model reconstruction, to improve reproducibility of 3D LV functional quantification. Multi-breath-hold short-axis and radial long-axis images were acquired from 10 patients and 10 healthy subjects. The proposed framework reduced misalignment between slices to subpixel accuracy (2.88 to 1.21 mm), and improved interstudy reproducibility for 5 important clinical functional measures, i.e. end-diastolic volume, end-systolic volume, ejection fraction, myocardial mass and 3D-sphericity index, as reflected in a reduction in the sample size required to detect statistically significant cardiac changes: a reduction of 21-66. Our investigation on the optimum registration parameters, including both cardiac time frames and number of long-axis (LA) slices, suggested that a single time frame is adequate for motion correction whereas integrating more LA slices can improve registration and model reconstruction accuracy for improved functional quantification especially on datasets with severe motion artefacts.
format Article
author Liew, Yih Miin
McLaughlin, R.A.
Chan, B.T.
Aziz, Y.F.A.
Chee, K.H.
Ung, N.M.
Tan, L.K.
Lai, K.W.
Ng, S.
Lim, E.
author_facet Liew, Yih Miin
McLaughlin, R.A.
Chan, B.T.
Aziz, Y.F.A.
Chee, K.H.
Ung, N.M.
Tan, L.K.
Lai, K.W.
Ng, S.
Lim, E.
author_sort Liew, Yih Miin
title Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI
title_short Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI
title_full Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI
title_fullStr Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI
title_full_unstemmed Motion corrected LV quantification based on 3D modelling for improved functional assessment in cardiac MRI
title_sort motion corrected lv quantification based on 3d modelling for improved functional assessment in cardiac mri
publisher IOP Publishing
publishDate 2015
url http://eprints.um.edu.my/15667/1/Motion_corrected_LV_quantification_based_on_3D_modelling_for_improved_functional_assessment.pdf
http://eprints.um.edu.my/15667/
http://www.ncbi.nlm.nih.gov/pubmed/25768708
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score 13.251813

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