Validation of performance of free of charge plugin for the open-source platform to perform cardiac segmentation in magnetic resonance imaging

Wojciech Szychta; Konrad Werys; Marzena Barczuk‐Falęcka; Marek Postuła; Łukasz A. Małek

doi:10.24255/hbj/100671

January 1, 2019Heart Beat JournalOpen Access

Validation of performance of free of charge plugin for the open-source platform to perform cardiac segmentation in magnetic resonance imaging

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Why the study?

CMR is the gold standard for calculating heart size, volume, and mass, but dedicated software is required to perform segmentation.

Does an open-source CMR segmentation tool perform comparably to vendor-validated CMR42 software for cardiac segmentation?

Key Points

To validate the performance of a free, open-source cardiac magnetic resonance segmentation tool against vendor-validated commercial CMR42 software.
Compared an open-source cardiac magnetic resonance (CMR) segmentation plugin with the latest version of CMR42 software.
Evaluated software performance for calculating cardiac size, volume, and myocardial mass.
Benchmarked the open-source segmentation tool directly against industry-standard CMR42 software.
Assessed the technical feasibility of using open-access software to quantify cardiac dimensions and volumes without proprietary vendor tools.

Structured PICO

Does an open-source CMR segmentation tool perform comparably to vendor-validated CMR42 software for cardiac segmentation?

I

Intervention

Open-source CMR segmentation tool

C

Comparator

Vendor-validated CMR42 software

O

Outcome

Performance of cardiac segmentation (heart size, volume, and mass calculation)surrogate

The study aims to validate a free, open-source plugin for CMR segmentation against established commercial software.

Implication

Open-source CMR tools may match commercial software for research segmentation; leaves open routine clinical adoption pending prospective validation.

Abstract

Cardiac magnetic resonance (CMR) is the gold standard for heart size, volume and mass calculation, but a dedicated software is needed to perform the segmentation process. The aim of the study was to validate the performance of an opensource CMR segmentation tool against the latest version of vendor-validated CMR42 software.

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Cite This Study

Szychta et al. (2019) studied this question.

synapsesocial.com/papers/6a9a54abb4bd48c222e435d4 https://doi.org/10.24255/hbj/100671

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Ask AI

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Validation of performance of free of charge plugin for the open-source platform to perform cardiac segmentation in magnetic resonance imaging

Key Points

Structured PICO

Implication

Abstract

Discussion

Cite This Study

Validation of performance of free of charge plugin for the open-source platform to perform cardiac segmentation in magnetic resonance imaging

Key Points

Structured PICO

Implication

Abstract

Discussion

Cite This Study

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