Improving Harmonic Phase imaging by the Windowed Fourier Transform

Lucilio Cordero Grande; Gonzalo Vegas-Sánchez-Ferrero; Pablo Casaseca-de-la-Higuera; Carlos Alberola-López

Improving Harmonic Phase imaging by the Windowed Fourier Transform

Lucilio Cordero Grande, Gonzalo Vegas-Sánchez-Ferrero, Pablo Casaseca-de-la-Higuera, Carlos Alberola-López

Universidad de Valladolid

Research output: Contribution to journal › Conference paper › peer-review

8 Citations (Scopus)

Abstract

This work proposes a new methodology for the extraction of Harmonic Phase images in cardiac tagged Magnetic Resonance Imaging. The procedure draws upon the use of the Windowed Fourier Transform, which provides a spatially varying representation of the signal spectra. The spectral peaks of the local Fourier domain are then extracted by a conventional Harmonic Phase recovering technique in such a way that the peak position is separately estimated for each spatial location. Finally, the phase of the complex image is reconstructed by inverting the transformation. It turns out that the proposed methodology substantially outperforms the classical Harmonic Phase analysis on a simulated dataset and seems to be more accurate for determining the tag intersections in a real dataset.

Original language	English
Pages (from-to)	520-523
Number of pages	4
Journal	International Symposium on Biomedical Imaging (ISBI)
Volume	8
Publication status	Published - 2 Apr 2011

Keywords

tagged Magnetic resonance imaging
windowed Fourier transform
harmonic phase imaging
myocardium tracking

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http://dx.doi.org/10.1109/ISBI.2011.5872459

Cite this

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title = "Improving Harmonic Phase imaging by the Windowed Fourier Transform",

abstract = "This work proposes a new methodology for the extraction of Harmonic Phase images in cardiac tagged Magnetic Resonance Imaging. The procedure draws upon the use of the Windowed Fourier Transform, which provides a spatially varying representation of the signal spectra. The spectral peaks of the local Fourier domain are then extracted by a conventional Harmonic Phase recovering technique in such a way that the peak position is separately estimated for each spatial location. Finally, the phase of the complex image is reconstructed by inverting the transformation. It turns out that the proposed methodology substantially outperforms the classical Harmonic Phase analysis on a simulated dataset and seems to be more accurate for determining the tag intersections in a real dataset.",

keywords = "tagged Magnetic resonance imaging, windowed Fourier transform, harmonic phase imaging, myocardium tracking",

author = "{Cordero Grande}, Lucilio and Gonzalo Vegas-S{\'a}nchez-Ferrero and Pablo Casaseca-de-la-Higuera and Carlos Alberola-L{\'o}pez",

year = "2011",

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TY - JOUR

T1 - Improving Harmonic Phase imaging by the Windowed Fourier Transform

AU - Cordero Grande, Lucilio

AU - Vegas-Sánchez-Ferrero, Gonzalo

AU - Casaseca-de-la-Higuera, Pablo

AU - Alberola-López, Carlos

PY - 2011/4/2

Y1 - 2011/4/2

N2 - This work proposes a new methodology for the extraction of Harmonic Phase images in cardiac tagged Magnetic Resonance Imaging. The procedure draws upon the use of the Windowed Fourier Transform, which provides a spatially varying representation of the signal spectra. The spectral peaks of the local Fourier domain are then extracted by a conventional Harmonic Phase recovering technique in such a way that the peak position is separately estimated for each spatial location. Finally, the phase of the complex image is reconstructed by inverting the transformation. It turns out that the proposed methodology substantially outperforms the classical Harmonic Phase analysis on a simulated dataset and seems to be more accurate for determining the tag intersections in a real dataset.

AB - This work proposes a new methodology for the extraction of Harmonic Phase images in cardiac tagged Magnetic Resonance Imaging. The procedure draws upon the use of the Windowed Fourier Transform, which provides a spatially varying representation of the signal spectra. The spectral peaks of the local Fourier domain are then extracted by a conventional Harmonic Phase recovering technique in such a way that the peak position is separately estimated for each spatial location. Finally, the phase of the complex image is reconstructed by inverting the transformation. It turns out that the proposed methodology substantially outperforms the classical Harmonic Phase analysis on a simulated dataset and seems to be more accurate for determining the tag intersections in a real dataset.

KW - tagged Magnetic resonance imaging

KW - windowed Fourier transform

KW - harmonic phase imaging

KW - myocardium tracking

M3 - Conference paper

VL - 8

SP - 520

EP - 523

JO - International Symposium on Biomedical Imaging (ISBI)

JF - International Symposium on Biomedical Imaging (ISBI)

ER -

Improving Harmonic Phase imaging by the Windowed Fourier Transform

Abstract

Keywords

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