Relationship of image quality to decision accuracy for ARVD in MRI

Elizabeth A. Krupinski, Theron Ovitt

Research output: Contribution to journalConference articlepeer-review


Rates of agreement for diagnosing ARVC/D using MRI are not known. 45 cardiac MRI cases were sent to 13 expert radiologists. Only 1 of 45 cases had complete agreement among readers. ARVC/D was more likely to be reported present if fat in the myocardium was reported, if the RV chamber size was enlarged, and if RV configuration was abnormal. A normal LV chamber size was more likely with a negative report and an enlarged LV chamber size was just as likely to be called positive as negative. The radiologists were more likely to correctly call a no ARVC/D case negative (71%) than positive, but they were below chance (47%) in calling an ARVC/D case positive. 13% of the cases were rated as having poor image quality, 42% fair, 38% good and 7% excellent. There was no relationship between image quality and percent readers agreeing on presence/absence of ARVC/D. Interreader variability for ARVC/D using MRI cardiac film images is quite high. Image quality does not seem to be a major contributing factor. Inclusion of MRI cine loop images of the heart, standardized protocol, and utilization of the most current MRI equipment may improve reader agreement as well as diagnostic accuracy.

Original languageEnglish (US)
Pages (from-to)100-106
Number of pages7
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2002
Externally publishedYes
EventMedical Imaging 2002: Image Perception, Observer Performance, and Technology Assessment - San Diego, CA, United States
Duration: Feb 26 2002Feb 28 2002


  • Decision accuracy
  • Heart disease
  • Image quality
  • MRI

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering


Dive into the research topics of 'Relationship of image quality to decision accuracy for ARVD in MRI'. Together they form a unique fingerprint.

Cite this