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High-throughput digitization of analog human echocardiography data

Echocardiographic imaging has been acquired in historical longitudinal cohorts of cardiovascular disease. Many cohorts were established prior to digital recording of echocardiography, and thus have preserved their archival imaging on Video Home System (VHS) tapes. These tapes require large physical...

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Autores principales: Kwan, Alan C., Salto, Gerran, Demosthenes, Emmanuella, Lehman, Birgitta T., Osypiuk, Ewa, Stantchev, Plamen, Vasan, Ramachandran S., Cheng, Susan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897705/
https://www.ncbi.nlm.nih.gov/pubmed/33665148
http://dx.doi.org/10.1016/j.mex.2020.101159
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author Kwan, Alan C.
Salto, Gerran
Demosthenes, Emmanuella
Lehman, Birgitta T.
Osypiuk, Ewa
Stantchev, Plamen
Vasan, Ramachandran S.
Cheng, Susan
author_facet Kwan, Alan C.
Salto, Gerran
Demosthenes, Emmanuella
Lehman, Birgitta T.
Osypiuk, Ewa
Stantchev, Plamen
Vasan, Ramachandran S.
Cheng, Susan
author_sort Kwan, Alan C.
collection PubMed
description Echocardiographic imaging has been acquired in historical longitudinal cohorts of cardiovascular disease. Many cohorts were established prior to digital recording of echocardiography, and thus have preserved their archival imaging on Video Home System (VHS) tapes. These tapes require large physical storage space, are affected by physical degradation, and cannot be analyzed using modern digital techniques. We have designed and implemented a standardized methodology for digitizing analog data in historical longitudinal cohorts. The methodology creates a pipeline through critical steps of initial review, digitization, anonymization, quality control, and storage. The methodology has been implemented in the Framingham Offspring Study, a community-based epidemiological cohort study with echocardiography performed during serial examinations between 1987 and 1998. We present this method as an accessible pipeline for preserving and repurposing historical imaging data acquired from large cohort studies. The described technique: • Outlines a generalizable pipeline for digitization of analog recordings of echocardiography stored on VHS tapes; • Addresses research concerns including quality control, anonymization, and storage; • Expresses the authors’ individual experience regarding observed image quality, training needs, and potential limitations to help readers understand the costs and benefits of this method.
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spelling pubmed-78977052021-03-03 High-throughput digitization of analog human echocardiography data Kwan, Alan C. Salto, Gerran Demosthenes, Emmanuella Lehman, Birgitta T. Osypiuk, Ewa Stantchev, Plamen Vasan, Ramachandran S. Cheng, Susan MethodsX Method Article Echocardiographic imaging has been acquired in historical longitudinal cohorts of cardiovascular disease. Many cohorts were established prior to digital recording of echocardiography, and thus have preserved their archival imaging on Video Home System (VHS) tapes. These tapes require large physical storage space, are affected by physical degradation, and cannot be analyzed using modern digital techniques. We have designed and implemented a standardized methodology for digitizing analog data in historical longitudinal cohorts. The methodology creates a pipeline through critical steps of initial review, digitization, anonymization, quality control, and storage. The methodology has been implemented in the Framingham Offspring Study, a community-based epidemiological cohort study with echocardiography performed during serial examinations between 1987 and 1998. We present this method as an accessible pipeline for preserving and repurposing historical imaging data acquired from large cohort studies. The described technique: • Outlines a generalizable pipeline for digitization of analog recordings of echocardiography stored on VHS tapes; • Addresses research concerns including quality control, anonymization, and storage; • Expresses the authors’ individual experience regarding observed image quality, training needs, and potential limitations to help readers understand the costs and benefits of this method. Elsevier 2020-11-26 /pmc/articles/PMC7897705/ /pubmed/33665148 http://dx.doi.org/10.1016/j.mex.2020.101159 Text en © 2020 The Authors. Published by Elsevier B.V. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Method Article
Kwan, Alan C.
Salto, Gerran
Demosthenes, Emmanuella
Lehman, Birgitta T.
Osypiuk, Ewa
Stantchev, Plamen
Vasan, Ramachandran S.
Cheng, Susan
High-throughput digitization of analog human echocardiography data
title High-throughput digitization of analog human echocardiography data
title_full High-throughput digitization of analog human echocardiography data
title_fullStr High-throughput digitization of analog human echocardiography data
title_full_unstemmed High-throughput digitization of analog human echocardiography data
title_short High-throughput digitization of analog human echocardiography data
title_sort high-throughput digitization of analog human echocardiography data
topic Method Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7897705/
https://www.ncbi.nlm.nih.gov/pubmed/33665148
http://dx.doi.org/10.1016/j.mex.2020.101159
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