Quantitative image analysis is becoming an integral part of medical imaging for extracting measurements to support clinical tasks. Modern techniques allow extracting numerous measurements, i.e., features, quantifying a diverse set of visual attributes of a given image. However, not all these measurements are robust across images taken with different acquisition parameters and scanners from different vendors. As a result, not all of the measurements can be used in practice. Identifying the measurements that can be used is crucial for adaptation of advanced image-based measurement in clinical practice.