Cardiac Image Processing

Joseph M. Reinhardt, William Evan Higgins

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This chapter focuses on techniques for processing cardiac images. The various techniques for processing cardiac images can be broken down into four main classes. First, the coronary arteries are examined to find narrowed arteries. Second, the heart's mechanics and shape are studied during the cardiac cycle. Third, the temporal circulation of the blood through the heart is analyzed. Fourth, the electrical potentials on the heart's surfaces are mapped. The largest application of cardiac imaging is in the identification and localization of narrowed or blocked coronary arteries. Arteries become narrowed over time via a process known as coronary calcification. If a major artery becomes completely blocked, this causes myocardial infarction; the blood supply to the part of the heart provided by the blocked artery stops, resulting in tissue damage and, in many instances, death. Cardiovascular imaging is a major focus of modern healthcare. Many modalities are available for cardiac imaging.

Original languageEnglish (US)
Title of host publicationHandbook of Image and Video Processing
PublisherElsevier Inc.
Pages1175-1193
Number of pages19
ISBN (Print)9780121197926
DOIs
StatePublished - Dec 1 2005

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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    Reinhardt, J. M., & Higgins, W. E. (2005). Cardiac Image Processing. In Handbook of Image and Video Processing (pp. 1175-1193). Elsevier Inc.. https://doi.org/10.1016/B978-012119792-6/50129-7