Measurement and Quantification

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.