Magnetic resonance imaging of the thoracic aorta

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Magnetic resonance imaging (MRI) is well-suited for imaging the vascular system and is of particular value in assessing the anatomy and pathologies of the thoracic aorta. The intrinsic contrast between the blood pool and the vascular structures allows excellent depiction of intra- and extravascular anatomy and eliminates the need for intravenous contrast agents. A large field of view provides a complete evaluation of the mediastinum and chest. Both qualitative and quantitative techniques are available, which can yield physiological data in addition to anatomical information. The multiplanar capability offers images in any plane, allowing an accurate assessment of the longitudinal extent of disease and providing images perpendicular to vessels, even when tortuous. MRI currently represents an essential component of the imaging strategies available to assess the thoracic aorta and may come to function as a gold standard for certain conditions. As the technology continues its rapid evolution, MRI will most likely be able to serve as an effective noninvasive evaluation to provide all of the anatomical, pathological, and physiological information required of a comprehensive examination of the thoracic aorta.

Original languageEnglish (US)
Pages (from-to)183-196
Number of pages14
JournalEchocardiography
Volume13
Issue number2
StatePublished - 1996

Fingerprint

Thoracic Aorta
Magnetic Resonance Imaging
Blood Vessels
Anatomy
Mediastinum
Contrast Media
Thorax
Pathology
Technology

Keywords

  • aorta
  • aortic acquired disease
  • aortic congenital disease
  • magnetic resonance imaging
  • magnetic resonance techniques

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine
  • Radiology Nuclear Medicine and imaging

Cite this

Magnetic resonance imaging of the thoracic aorta. / Rofsky, Neil M.

In: Echocardiography, Vol. 13, No. 2, 1996, p. 183-196.

Research output: Contribution to journalArticle

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