Skip to main content

Clinical Application of Information Medicine Cardiac Magnetic Resonance Quantitative Imaging in Central Nervous System Cardiology Cardiomyopathy

Buy Article:

$107.14 + tax (Refund Policy)

Objective: To study the left ventricular systolic function in patients with central nervous system endocarditis myocarditis by using information-based cardiac magnetic resonance quantitative imaging technique. LGE and T1 mapping techniques were used to evaluate myocardial localized fibrosis and diffuse fibrosis, respectively. The situation is to explore the limitations and the relationship between diffuse cardiomyopathy and cardiac function. Methods: A total of 44 patients with dilated cardiomyopathy and 23 healthy volunteers were scanned with a magnetic resonance imager to determine the occurrence of focal myocardial and diffuse fibrosis, and to analyze the relationship between left ventricular systolic function and left ventricular systolic function. Relationship. Results: The TML values (1335.23 ± 60.91 ms) and LGE (–) subgroups (1309.05 ± 55.02 ms) in the DCMLGE(+) subgroup were significantly different from those in the control group (P < 0.001); however, DCMLGE ( There was no significant difference in the myocardial T1 values between the + and LGE (–) groups (P > 0.05). Conclusion: Cardiac magnetic resonance quantitative imaging technology can reflect the diffuse fibrosis of patients with cardiomyopathy, and can detect early myocardial fibrosis early. In addition, patients with cardiomyopathy have myocardial limitations and diffuse fibrosis, which affects the contractile function of the left ventricle of the heart.

Keywords: CARDIAC MAGNETIC RESONANCE QUANTITATIVE IMAGING TECHNOLOGY; CARDIOMYOPATHY; CENTRAL NERVOUS SYSTEM ENDOCARDITIS MYOCARDITIS

Document Type: Research Article

Publication date: 01 February 2021

More about this publication?
  • Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
  • Editorial Board
  • Information for Authors
  • Subscribe to this Title
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content