Dataset for "Comparison of the within-reader and inter-vendor agreement of left ventricular circumferential strains and volume indices derived from cardiovascular magnetic resonance imaging"

This is a dataset of magnetic resonance images taken from a porcine experiment, including the analysis of the images which have enabled the calculation of various clinical indicators of cardiac function, to determine how reliable and repeatable each indicator is when calculated by different users and using different software.

This dataset contains left ventricle endocardial contour data (and derived quantities) generated as part of a study to test the inter-user and inter-software repeatability of strain and volume measures of cardiac function.

Seven users used two different software packages (ScanIP and OsiriX) to segment 30 short-axis MR images of a porcine heart, and repeated this twice. The same segmentation was also performed automatically using a third software, CVI42. Each instance of the data therefore contains the points that define the endocardial border for each attempt, as well as derived quantities such as circumferential strains and ;eft ventricular volume fractions

Finally, the specific data used to generate the plots, such as Bland-Altman plot, that appear in the paper are also presented.

Keywords:
MRI, porcine, segmentation, strain, inter-user, inter-software
Subjects:
Medical and health interface
Tools, technologies and methods

Cite this dataset as:
Cookson, A., Odunmbaku-Mansell, D., Fraser, K., Gill, R., Raimondo, A., Domenico, B., 2020. Dataset for "Comparison of the within-reader and inter-vendor agreement of left ventricular circumferential strains and volume indices derived from cardiovascular magnetic resonance imaging". Bath: University of Bath Research Data Archive. Available from: https://doi.org/10.15125/BATH-00890.

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Data

Dataset-Comparison … MRI.zip
application/zip (11MB)
Creative Commons: Attribution 4.0

Creators

Andrew Cookson
University of Bath

Doyin Odunmbaku-Mansell
University of Bath

Katharine Fraser
University of Bath

Richie Gill
University of Bath

Ascione Raimondo
University of Bristol

Bruno Domenico
University of Bristol

Contributors

Evelyn Frank
Contributor
University of Bath

Nathaniel Kelly
Contributor
University of Bath

Bruno Agostinho Hernandez
Contributor
University of Bath

James Fletcher
Contributor
University of Bath

Jonathan Bartlett
Contributor
University of Bath

Eva Sammut
Contributor
University of Bristol

Thomas Johnson
Contributor
University of Bristol

Amedeo Chiribiri
Contributor
King's College London

University of Bath
Rights Holder

Coverage

Collection date(s):

From 4 January 2016 to 30 June 2020

Documentation

Technical details and requirements:

Full details of software used to create the data are given in the paper. To view the images a standard DICOM viewer package such as Osirix, CVI42, ScanIP etc is required. To view the csv data a text editor or spreadsheet tool such as Excel is needed.

Additional information:

Within each folder there is a Readme file to explain the particular contents of that folder.

Funders

Engineering and Physical Sciences Research Council (EPSRC)
https://doi.org/10.13039/501100000266

Computational biophysical modelling for the optimisation of cardiac magnetic resonance perfusion imaging protocols
1792324

GW4

Grant
GW4-AF4-011

Publication details

Publication date: 15 December 2020
by: University of Bath

Version: 1

DOI: https://doi.org/10.15125/BATH-00890

URL for this record: https://researchdata.bath.ac.uk/id/eprint/890

Related articles

Mansell, D. S., Frank, E. G., Kelly, N. S., Agostinho-Hernandez, B., Fletcher, J., Bruno, V. D., Sammut, E., Chiribiri, A., Johnson, T., Ascione, R., Bartlett, J. W., Gill, H. S., Fraser, K. H. and Cookson, A. N., 2020. Comparison of the within-reader and inter-vendor agreement of left ventricular circumferential strains and volume indices derived from cardiovascular magnetic resonance imaging. PLOS ONE, 15(12), p.e0242908. Available from: https://doi.org/10.1371/journal.pone.0242908.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Contact person: Andrew Cookson

Departments:

Faculty of Engineering & Design
Mechanical Engineering