Semiautomatic evaluation of left ventricular diastolic function with cine magnetic resonance imaging

Frederick L. Hoff*, David A. Tumer, Jin Zhao Wang, John T. Barron, Mariano D. Chutuape, Philip R. Liebson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations


Rationale and Objectives. Cine magnetic resonance (MR) imaging is a relatively new technique that can be used to study cardiac function with high spatial and temporal resolution. However, detailed functional analysis of the entire cardiac cycle with cine MR imaging is time consuming and labor intensive. We analyzed diastolic function using a semiautomatic routine that reduces the time necessary for analysis. Methods.: Twenty subjects (10 normal control subjects and 10 patients with isolated diastolic dysfunction) were examined. Short-axis cine MR images were obtained at 32 phases of the cardiac cycle. A semiautomatic boundary-finding routine was used to determine left ventricular (LV) volumes at each phase. Volume-versus-time and first-derivative curves were created from these data. Several parameters derived from the MR imaging curves were used to characterize diastole. Results.: Two parameters-the ratio of early peak filling rate to late peak filling rate and the percentage of filling during early diastole-perfectly distinguished subjects with LV diastolic dysfunction from the normal control subjects. The semiautomatic analysis method substantially reduced the time necessary for analyzing the MR imaging data, compared with manual analysis. Conclusion.: Cine MR imaging, especially with time-saving techniques such as our service automatic analysis method, has promise as a research and clinical tool in evaluating LV diastolic function.

Original languageEnglish (US)
Pages (from-to)237-242
Number of pages6
JournalAcademic radiology
Issue number3
StatePublished - Nov 1994


  • Congestive heart failure
  • Doppler echocardiography
  • diastolic dysfunction
  • time-volume curve

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging


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