The rapid technological advancements in noninvasive imaging, coupled with the increasing
availability of large datasets and the expansion of computational power, have reformed
every aspect of cardiovascular (CV) medicine. As a result, imaging has become an essential
part of both clinical practice and research. Day by day, thousands of images are acquired
in CV imaging laboratories and are interpreted using a wide range of qualitative and
quantitative descriptors. However, radiologic images contain much more information
than we can comprehend visually or quantify with simple manual measurements. Radiomics—the
process of high-throughput extraction of quantitative features from imaging data—holds
the key to unleash the untapped potential of information withheld in imaging datasets
and to support personalized diagnostic and therapeutic decisions. In this chapter,
we review the principles of radiomics, along with its potential role in CV imaging.
