Model-based analysis of cardiac motion from tagged MRI data

Jinah Park, Dimitri Metaxas, Alistair Young, Leon Axel

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations

Abstract

We develop a new method for analyzing the motion of the left ventricle (LV) of a heart from tagged MRI data. Our technique is based on the development of a new class of physics-based deformable models whose parameters are functions allowing the definition of new parameterized primitives and parameterized deformations. These parameter functions improve the accuracy of shape description through the use of a few intuitive parameters such as functional twisting. Furthermore, these parameters require no complex post-processing in order to be used by a physician. Using a physics-based approach, we convert these geometric models into deformable models that deform due to forces exerted from the datapoints and conform to the given dataset. We present experiments involving the extraction of shape and motion of the LV from MRI-SPAMM data based on a few parameter functions. Furthermore, by plotting the variations over time of the extracted model parameters from normal and abnormal heart data we are able to characterize quantitatively their differences.

Original languageEnglish (US)
Pages (from-to)40-45
Number of pages6
JournalProceedings of the IEEE Symposium on Computer-Based Medical Systems
StatePublished - 1994
Externally publishedYes
EventProceedings of the 1994 IEEE 7th Symposium on Computer-Based Medical Systems - Winston-Salem, NC, USA
Duration: Jun 11 1994Jun 12 1994

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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