A dedicated guided-search displacement algorithm for cardiovascular strain imaging

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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Traditionally, an exhaustive search is performed for 2D strain imaging, often using a priori knowledge or an iterative, multi-level (ML) approach to improve strain quality. In this study, a dedicated guided-search algorithm (CGS), using a seeding procedure that was specifically designed for cardiovascular applications, is introduced and applied to simulation data, and data of aortas, both in vitro and in vitro. The method was compared to two existing methods, a multi-level algorithm and a conventional guided-search approach (GS). Results reveal an improvement of SNRe for the simulation data improvement. The (C)GS method showed good strain results, even when no filtering was applied to the displacements. The in vitro data revealed similar results, however, the in vivo data revealed significant improvement when using the CGS approach over the ML algorithm, whereas the GS method was not able to track the vessel wall over time. A next step will be to apply this algorithm to cardiac data and incorporate stretching.

Originele taal-2Engels
TitelIEEE International Ultrasonics Symposium, IUS
UitgeverijIEEE Computer Society
Pagina's2288-2291
Aantal pagina's4
ISBN van geprinte versie9781479970490
DOI's
StatusGepubliceerd - 20 okt 2014
Evenement2014 IEEE International Ultrasonics Symposium (IUS 2014) - Hilton Hotel, Chicago, Verenigde Staten van Amerika
Duur: 3 sep 20146 sep 2014
http://ewh.ieee.org/conf/ius_2014/

Congres

Congres2014 IEEE International Ultrasonics Symposium (IUS 2014)
Verkorte titelIUS 2014
LandVerenigde Staten van Amerika
StadChicago
Periode3/09/146/09/14
AnderInternational Ultrasonics Symposium
Internet adres

Vingerafdruk

data simulation
aorta
inoculation
vessels

Citeer dit

Petterson, N.J. ; Van De Vosse, F.N. ; Lopata, R.G.P. / A dedicated guided-search displacement algorithm for cardiovascular strain imaging. IEEE International Ultrasonics Symposium, IUS. IEEE Computer Society, 2014. blz. 2288-2291
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title = "A dedicated guided-search displacement algorithm for cardiovascular strain imaging",
abstract = "Traditionally, an exhaustive search is performed for 2D strain imaging, often using a priori knowledge or an iterative, multi-level (ML) approach to improve strain quality. In this study, a dedicated guided-search algorithm (CGS), using a seeding procedure that was specifically designed for cardiovascular applications, is introduced and applied to simulation data, and data of aortas, both in vitro and in vitro. The method was compared to two existing methods, a multi-level algorithm and a conventional guided-search approach (GS). Results reveal an improvement of SNRe for the simulation data improvement. The (C)GS method showed good strain results, even when no filtering was applied to the displacements. The in vitro data revealed similar results, however, the in vivo data revealed significant improvement when using the CGS approach over the ML algorithm, whereas the GS method was not able to track the vessel wall over time. A next step will be to apply this algorithm to cardiac data and incorporate stretching.",
keywords = "cardiac, displacement estimation, RF, strain imaging, vascular",
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Petterson, NJ, Van De Vosse, FN & Lopata, RGP 2014, A dedicated guided-search displacement algorithm for cardiovascular strain imaging. in IEEE International Ultrasonics Symposium, IUS., 6932027, IEEE Computer Society, blz. 2288-2291, 2014 IEEE International Ultrasonics Symposium (IUS 2014), Chicago, Verenigde Staten van Amerika, 3/09/14. https://doi.org/10.1109/ULTSYM.2014.0570

A dedicated guided-search displacement algorithm for cardiovascular strain imaging. / Petterson, N.J.; Van De Vosse, F.N.; Lopata, R.G.P.

IEEE International Ultrasonics Symposium, IUS. IEEE Computer Society, 2014. blz. 2288-2291 6932027.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

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