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Automatic quality control of cardiac MRI segmentation in large-scale population imaging

Robinson R, Valindria VV, Bai W, Suzuki H, Matthews PM, Page C, Rueckert D, Glocker B (2017)

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Publication Type: Conference contribution

Publication year: 2017

Journal

Publisher: Springer Verlag

Book Volume: 10433 LNCS

Pages Range: 720-727

Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Event location: Quebec City, QC, CAN

ISBN: 9783319661810

DOI: 10.1007/978-3-319-66182-7_82

Abstract

The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools such as image segmentation methods are employed to derive quantitative measures or biomarkers for further analyses. Manual inspection and visual QC of each segmentation result is not feasible at large scale. However, it is important to be able to detect when an automatic method fails to avoid inclusion of wrong measurements into subsequent analyses which could otherwise lead to incorrect conclusions. To overcome this challenge, we explore an approach for predicting segmentation quality based on reverse classification accuracy, which enables us to discriminate between successful and failed cases. We validate this approach on a large cohort of cardiac MRI for which manual QC scores were available. Our results on 7,425 cases demonstrate the potential for fully automatic QC in the context of large-scale population imaging such as the UK Biobank Imaging Study.

Involved external institutions

How to cite

APA:

Robinson, R., Valindria, V.V., Bai, W., Suzuki, H., Matthews, P.M., Page, C.,... Glocker, B. (2017). Automatic quality control of cardiac MRI segmentation in large-scale population imaging. In Maxime Descoteaux, Simon Duchesne, Alfred Franz, Pierre Jannin, D. Louis Collins, Lena Maier-Hein (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 720-727). Quebec City, QC, CAN: Springer Verlag.

MLA:

Robinson, Robert, et al. "Automatic quality control of cardiac MRI segmentation in large-scale population imaging." Proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, Quebec City, QC, CAN Ed. Maxime Descoteaux, Simon Duchesne, Alfred Franz, Pierre Jannin, D. Louis Collins, Lena Maier-Hein, Springer Verlag, 2017. 720-727.

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