Summary Abstract
Clinical and pre-clinical studies of cardiovascular calcification often require interpretation of images from histopathology, CT scans, intravascular ultrasound, and positron emission tomography. To avoid potential pitfalls in biological inferences, investigators should know what happens to data in image processing algorithms, the limitations of cross-sectional images in studying mechanostability, and how smoothing algorithms can mask partial-volume artifacts in PET images.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.