Measurement and Quantification
Publication date
2023
Authors
Bernard, Olivier
Ruijsink, Bram
Grenier, Thomas
De Craene, Mathieu
Editors
Duchateau, N.
King, A.P.
Advisors
Supervisors
Document Type
Part of book
Metadata
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License
taverne
Abstract
This chapter deals with the clinical task of measuring and quantifying cardiac morphology and function. The chapter opens with a clinical introduction, which outlines current clinical workflows, including how they derive and make use of biomarkers as well as their weaknesses and limitations. A technical review is provided that summarises the state-of-the-art in AI for automated measurement and quantification. This technical section describes the common deep learning models that have been proposed for measurement and quantification, and also gives some specific examples of their application. A practical tutorial is provided on a simple CMR segmentation task. The chapter closes with a clinical opinion piece that speculates on the future impact of AI in this area.
Keywords
Biomarker, Deep learning, Measurement, Quantification, Segmentation, U-net, Taverne, General Medicine, General Computer Science
Citation
Bernard, O, Ruijsink, B, Grenier, T & De Craene, M 2023, Measurement and Quantification. in N Duchateau & A P King (eds), AI and Big Data in Cardiology : a Practical Guide. Springer International Publishing, pp. 57-84. https://doi.org/10.1007/978-3-031-05071-8_4