Clinical measurements are crucial in diagnostics and intervention planning. However, it is not trivial to perform accurate measurements due to biological variability and available modalities. A medical engineer can be of great value, using engineering skills such as quantitative measurements, estimation of errors, reproducibility and model-based data analysis, to extract more information from the data. Patient-specific models and novel measurement techniques will eventually predict intervention outcome or disease progression.