title: Cardiovascular magnetic resonance: deeper insights through bioengineering.
abstract: Heart disease is the main cause of morbidity and mortality worldwide, with coronary artery disease, diabetes, and obesity being major contributing factors. Cardiovascular magnetic resonance (CMR) can provide a wealth of quantitative information on the performance of the heart, without risk to the patient. Quantitative analyses of these data can substantially augment the diagnostic quality of CMR examinations and can lead to more effective characterization of disease and quantification of treatment benefit. This review provides an overview of the current state of the art in CMR with particular regard to the quantification of motion, both microscopic and macroscopic, and the application of bioengineering analysis for the evaluation of cardiac mechanics. We discuss the current clinical practice and the likely advances in the next 5-10 years, as well as the ways in which clinical examinations can be augmented by bioengineering analysis of strain, compliance, and stress.
authors.affiliation: Department of Anatomy with Radiology, School of Medical Science, Faculty of Medical and Health Sciences, University of Auckland, Auckland 1023, New Zealand. a.young@auckland.ac.nz
authors.forename: A A
authors.initials: AA
authors.lastname: Young
authors.forename: J L
authors.initials: JL
authors.lastname: Prince
mesh_terms: D000818:Animals; D057005:Bioengineering / Q000379:methods*; D001696:Biomechanical Phenomena; D002319:Cardiovascular System / Q000473:pathology*; D003287:Contrast Media / Q000737:chemistry; D005355:Fibrosis / Q000473:pathology; D006321:Heart / Q000502:physiology*; D006331:Heart Diseases / Q000473:pathology; D006801:Humans; D006984:Hypertrophy / Q000473:pathology; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008280:Magnetics; D015233:Models, Statistical; D009038:Motion; D010477:Perfusion; D011336:Probability; D013314:Stress, Mechanical
chemical_list: D003287:Contrast Media