Paper Info
Title
Myocardial deformation from local frequency estimation in tagging MRI
Abstract
We consider a new method to analyse deformation of the myocardial wall from tagging magnetic resonance images. The method exploits the fact that a regular pattern of stripe tags induces a time-dependent frequency covector field tightly coupled to the myocardial tissue and not affected by tag fading. The corresponding local frequency can be disambiguated with the help of the Gabor transform. The transformation of the tagging frequency covector field is governed by the deformation tensor field. Reversely, the deformation (and strain) tensor field can be retrieved from local frequency estimates given at least n (independent) tagging sequences, where n denotes spatial dimension. For the sake of illustration we consider the conventional case n=2. Moreover, we make use of an overdetermined system by exploiting 4 instead of 2 tagging directions, which contributes to the robustness of the results. The method does not require explicit knowledge of material motion or tag line extraction. Displacement estimations are compared to HARP.
Year
DOI
Venue
2013
10.1007/978-3-642-38899-6_34
FIMH
Keywords
Field
DocType
tagging sequence,tagging frequency covector field,conventional case n,local frequency,tagging direction,time-dependent frequency covector field,tagging mri,tensor field,local frequency estimation,n denotes,deformation tensor field,myocardial deformation,corresponding local frequency
Computer vision,Overdetermined system,Linear form,Fading,Computer science,Algorithm,Tensor field,Robustness (computer science),HARP,Artificial intelligence,Deformation (mechanics),Gabor transform
Conference
Volume
ISSN
Citations 
7945
0302-9743
3
PageRank 
References 
Authors
0.52
5
7
Name
Order
Citations
PageRank
L. C. Mark Bruurmijn140.87
Hanne B. Kause251.62
Olena G. Filatova340.87
Remco Duits438033.83
Andrea Fuster5357.45
L. M. J. Florack61212210.47
H. C. van Assen720716.82