Analytic calculations and synthetic shapes for validation of quantitative contour comparison software

Djamal Boukerroui; Eliana Vasquez Osorio; Ellen Brunenberg; Mark J. Gooding

doi:10.1016/j.phro.2023.100436

Analytic calculations and synthetic shapes for validation of quantitative contour comparison software

Djamal Boukerroui^*, Eliana Vasquez Osorio, Ellen Brunenberg, Mark J. Gooding

^*Corresponding author for this work

Division of Cancer Sciences (L5)

Research output: Contribution to journal › Article › peer-review

Abstract

A high level of variability in reported values was observed in a recent survey of contour similarity measures (CSMs) calculation tools. Such variations in the output measurements prevent meaningful comparison between studies. The purpose of this study was to develop a dataset with analytically calculated gold standard values to facilitate standardization and ensure accuracy of CSM implementations. The dataset was generated in the Digital Imaging and Communications in Medicine (DICOM) format. Both the dataset and the software used for its generation are made publicly available to encourage robust testing of CSM implementations for accuracy, improving consistency between different implementations.

Original language	English
Article number	100436
Journal	Physics and Imaging in Radiation Oncology
Volume	26
Early online date	3 Apr 2023
DOIs	https://doi.org/10.1016/j.phro.2023.100436
Publication status	E-pub ahead of print - 3 Apr 2023

Keywords

Contouring
Radiotherapy
Synthetic shapes
Validation

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Cite this

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title = "Analytic calculations and synthetic shapes for validation of quantitative contour comparison software",

abstract = "A high level of variability in reported values was observed in a recent survey of contour similarity measures (CSMs) calculation tools. Such variations in the output measurements prevent meaningful comparison between studies. The purpose of this study was to develop a dataset with analytically calculated gold standard values to facilitate standardization and ensure accuracy of CSM implementations. The dataset was generated in the Digital Imaging and Communications in Medicine (DICOM) format. Both the dataset and the software used for its generation are made publicly available to encourage robust testing of CSM implementations for accuracy, improving consistency between different implementations.",

keywords = "Contouring, Radiotherapy, Synthetic shapes, Validation",

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AU - Vasquez Osorio, Eliana

AU - Brunenberg, Ellen

AU - Gooding, Mark J.

PY - 2023/4/3

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AB - A high level of variability in reported values was observed in a recent survey of contour similarity measures (CSMs) calculation tools. Such variations in the output measurements prevent meaningful comparison between studies. The purpose of this study was to develop a dataset with analytically calculated gold standard values to facilitate standardization and ensure accuracy of CSM implementations. The dataset was generated in the Digital Imaging and Communications in Medicine (DICOM) format. Both the dataset and the software used for its generation are made publicly available to encourage robust testing of CSM implementations for accuracy, improving consistency between different implementations.

KW - Contouring

KW - Radiotherapy

KW - Synthetic shapes

KW - Validation

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M3 - Article

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JO - Physics and Imaging in Radiation Oncology

JF - Physics and Imaging in Radiation Oncology

M1 - 100436

ER -

Analytic calculations and synthetic shapes for validation of quantitative contour comparison software

Abstract

Keywords

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