Generating 3-D cardiac material markers using tagged MRI

William S. Kerwin, Jerry L. Prince

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

11 Scopus citations


Tagged magnetic resonance imaging (MRI) has shown great promise in noninvasive analysis of heart motion. To replace implanted markers as a gold standard, however, tagged MRI must be able to track a sparse set of material points, so-called material markers, with high accuracy. This paper presents a new method for generating accurate motion estimates over a sparse set of material points using standard, parallel-tagged MR images. The tracked points are located at intersections of three tag surfaces, each of which is estimated using thin-plate splines. The intersections are determined by an iterative alternating projections algorithm for which a proof of convergence is provided. The resulting data sets are compatible with applications developed to exploit implanted marker data. One example from a normal human volunteer is shown in detail, and numerical results that include additional studies are discussed.

Original languageEnglish (US)
Title of host publicationInformation Processing in Medical Imaging - 15th International Conference, IPMI 1997, Proceedings
EditorsGene Gindi, James Duncan
PublisherSpringer Verlag
Number of pages14
ISBN (Print)3540630465, 9783540630463
StatePublished - Jan 1 1997
Externally publishedYes
Event15th International Conference on Information Processing in Medical Imaging, IPMI 1997 - Poultney, United States
Duration: Jun 9 1997Jun 13 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other15th International Conference on Information Processing in Medical Imaging, IPMI 1997
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Generating 3-D cardiac material markers using tagged MRI'. Together they form a unique fingerprint.

Cite this