Image analysis methods for tagged MRI cardiac studies

Mike A. Guttmann, Jerry L. Prince

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Tracking of magnetic resonance (MR) tags in myocardial tissue promises to be an effective tool in the assessment of myocardial motion. The amount of data acquired is very large and the measurements are numerous and must be precise, requiring automated tracking methods. We describe a hierarchy of image processing steps that estimate both the endocardial and epicardial boundaries of the left ventricle, and also estimate the spines of radial tags that emanate outward from the left ventricular cavity. The first stage determines the position of the myocardial boundaries for each of 128 rays emanating from the origin. To counter the deleterious effects of noise and the presence of the tags when determining the boundary positions, we use nonlinear filtering concepts from mathematical morphology together with a priori knowledge related to boundary smoothness to improve the estimates. The second stage estimates the tag spines by matching a template in a direction orthogonal to the expected tag direction. We show results on tagged images and discuss further research directions.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsMurray H. Loew
PublisherPubl by Int Soc for Optical Engineering
Number of pages8
ISBN (Print)081940277X
StatePublished - Dec 1 1990
EventMedical Imaging IV: Image Processing - Newport Beach, CA, USA
Duration: Feb 6 1990Feb 8 1990

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X


OtherMedical Imaging IV: Image Processing
CityNewport Beach, CA, USA

ASJC Scopus subject areas

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


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