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A Unified Framework to Assess Myocardial Function from 4D Images

  • P. Shi
  • G. Robinson
  • A. Chakraborty
  • L. Staib
  • R. Constable
  • A. Sinusas
  • J. Duncan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 905)

Abstract

This paper describes efforts aimed at developing a unified framework to more accurately quantify the local, regional and global function of the left ventricle (LV) of the heart, under both normal and ischemic conditions, using four—dimensional (4D) imaging data over the entire cardiac cycle. The approach incorporates motion information derived from the shape properties of the endocardial and epicardial surfaces of the LV, as well as mid—wall 3D instantaneous velocity information from phase contrast MR images, and/or mid—wall displacement information from tagged MR images. The integration of the disparate but complementary sources of information overcomes the limitations of previous work which concentrates on motion estimation from a single image—derived source. 1

Keywords

Left Ventricle Unify Framework Infarct Zone Left Ventricle Wall Endocardial Surface 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1995

Authors and Affiliations

  • P. Shi
    • 1
  • G. Robinson
    • 1
  • A. Chakraborty
    • 1
  • L. Staib
    • 1
  • R. Constable
    • 1
  • A. Sinusas
    • 1
  • J. Duncan
    • 1
  1. 1.Departments of Diagnostic Radiology, Electrical Engineering, and MedicineYale UniversityNew HavenUSA

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