دورية أكاديمية

Correcting bias in cardiac geometries derived from multimodal images using spatiotemporal mapping

التفاصيل البيبلوغرافية
العنوان: Correcting bias in cardiac geometries derived from multimodal images using spatiotemporal mapping
المؤلفون: Zhao, Debbie, Mauger, Charlène A, Gilbert, Kathleen, Wang, Vicky Y, Quill, Gina M, Sutton, Timothy M, Lowe, Boris S, Legget, Malcolm E, Ruygrok, Peter N, Doughty, Robert N, Pedrosa, João, D'hooge, Jan, Young, Alistair A, Nash, Martyn P
بيانات النشر: Springer Nature
سنة النشر: 2023
المجموعة: University of Auckland Research Repository - ResearchSpace
مصطلحات موضوعية: Heart Ventricles, Humans, Echocardiography, Three-Dimensional, Magnetic Resonance Imaging, Stroke Volume, Reproducibility of Results, Ventricular Function, Left, Bias, 32 Biomedical and Clinical Sciences, 40 Engineering, 4003 Biomedical Engineering, Cardiovascular, Biomedical Imaging, Clinical Research, Heart Disease, Science & Technology, Multidisciplinary Sciences, Science & Technology - Other Topics, LEAST-SQUARES REGRESSION, LEFT-VENTRICULAR MASS, HEALTHY-SUBJECTS, MOTION ATLAS, HEART, TRACKING, VOLUME, SHAPE, MR, SEGMENTATION
جغرافية الموضوع: England
الوصف: Cardiovascular imaging studies provide a multitude of structural and functional data to better understand disease mechanisms. While pooling data across studies enables more powerful and broader applications, performing quantitative comparisons across datasets with varying acquisition or analysis methods is problematic due to inherent measurement biases specific to each protocol. We show how dynamic time warping and partial least squares regression can be applied to effectively map between left ventricular geometries derived from different imaging modalities and analysis protocols to account for such differences. To demonstrate this method, paired real-time 3D echocardiography (3DE) and cardiac magnetic resonance (CMR) sequences from 138 subjects were used to construct a mapping function between the two modalities to correct for biases in left ventricular clinical cardiac indices, as well as regional shape. Leave-one-out cross-validation revealed a significant reduction in mean bias, narrower limits of agreement, and higher intraclass correlation coefficients for all functional indices between CMR and 3DE geometries after spatiotemporal mapping. Meanwhile, average root mean squared errors between surface coordinates of 3DE and CMR geometries across the cardiac cycle decreased from 7 ± 1 to 4 ± 1 mm for the total study population. Our generalised method for mapping between time-varying cardiac geometries obtained using different acquisition and analysis protocols enables the pooling of data between modalities and the potential for smaller studies to leverage large population databases for quantitative comparisons.
نوع الوثيقة: article in journal/newspaper
وصف الملف: Electronic; application/pdf
اللغة: English
تدمد: 2045-2322
العلاقة: Scientific reports; (2023). Scientific Reports, 13(1), 8118-.; https://hdl.handle.net/2292/66467Test; 37208380 (pubmed)
DOI: 10.1038/s41598-023-33968-5
الإتاحة: https://doi.org/10.1038/s41598-023-33968-5Test
https://hdl.handle.net/2292/66467Test
حقوق: Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. ; https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htmTest ; http://creativecommons.org/licenses/by/4.0Test/ ; Copyright: Springer Nature Limited ; http://purl.org/eprint/accessRights/OpenAccessTest
رقم الانضمام: edsbas.199454B7
قاعدة البيانات: BASE
الوصف
تدمد:20452322
DOI:10.1038/s41598-023-33968-5