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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Bibliographic Details
Main Authors: Alan C. Kwan, Gerran Salto, Emmanuella Demosthenes, Birgitta T. Lehman, Ewa Osypiuk, Plamen Stantchev, Ramachandran S. Vasan, Susan Cheng
Format: Article
Language:English
Published: Elsevier 2020-01-01
Series:MethodsX
Subjects:
VHS
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016120303794
Description
Summary: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
ISSN:2215-0161