Literature DB >> 10646762

Definition of a four-dimensional continuous planispheric transformation for the tracking and the analysis of left-ventricle motion.

J Declerck1, J Feldmar, N Ayache.   

Abstract

Cardiologists assume that analysis of the motion of the heart (especially the left ventricle) can provide useful information about the health of the myocardium. A 4-D polar transformation is defined to describe the left-ventricle (LV) motion and a method is presented to estimate it from sequences of 3-D images. The transformation is defined in 3-D planispheric coordinates (3PC) by a small number of parameters involved in a set of simple linear equations. It is continuous and regular in time and space, and periodicity in time can be imposed. The local motion can be easily decomposed into a few canonical motions (radial motion, rotation around the long-axis, elevation). To recover the motion from original data, the 4-D polar transformation is calculated using an adaptation of the iterative closest-point algorithm. We present the mathematical framework and a demonstration of its feasability on a series of gated SPECT sequences.

Mesh:

Year:  1998        PMID: 10646762     DOI: 10.1016/s1361-8415(98)80011-x

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  5 in total

1.  Left ventricular motion reconstruction from planar tagged MR images: a comparison.

Authors:  J Declerck; T S Denney; C Oztürk; W O'Dell; E R McVeigh
Journal:  Phys Med Biol       Date:  2000-06       Impact factor: 3.609

2.  Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets.

Authors:  Stanley Durrleman; Xavier Pennec; Alain Trouvé; Guido Gerig; Nicholas Ayache
Journal:  Med Image Comput Comput Assist Interv       Date:  2009

3.  Toward a comprehensive framework for the spatiotemporal statistical analysis of longitudinal shape data.

Authors:  S Durrleman; X Pennec; A Trouvé; J Braga; G Gerig; N Ayache
Journal:  Int J Comput Vis       Date:  2013-05       Impact factor: 7.410

4.  Shortest path refinement for motion estimation from tagged MR images.

Authors:  Xiaofeng Liu; Jerry L Prince
Journal:  IEEE Trans Med Imaging       Date:  2010-03-18       Impact factor: 10.048

5.  Automated 3D motion tracking using Gabor filter bank, robust point matching, and deformable models.

Authors:  Ting Chen; Xiaoxu Wang; Sohae Chung; Dimitris Metaxas; Leon Axel
Journal:  IEEE Trans Med Imaging       Date:  2009-04-14       Impact factor: 10.048

  5 in total

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