Cardiovascular informatics

I. A. Kakadiaris, U. Kurkure, A. Bandekar, S. O’Malley, M. Naghavi

Research output: Chapter in Book/Report/Conference proceedingChapter


As cardiac imaging technology advances, large amounts of imaging data are being produced which are not being mined sufficiently by current diagnostic tools for early detection and diagnosis of cardiovascular disease.We aim to develop a computational framework to mine cardiac imaging data and provide quantitative measures for developing a new risk assessment method. In this chapter, we present novel methods to quantify pericardial fat in non-contrast cardiac computed tomography images automatically, and to detect and quantify neovascularization in the coronary vessels using intra-vascular ultrasound imaging.

Original languageEnglish (US)
Title of host publicationHandbook of Biomedical Imaging
Subtitle of host publicationMethodologies and Clinical Research
PublisherSpringer US
Number of pages12
ISBN (Electronic)9780387097497
ISBN (Print)9780387097480
StatePublished - Jan 1 2015

ASJC Scopus subject areas

  • Computer Science(all)
  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)


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