Spatial and spectral anisotropy in HARP images: an automated approach

TY - JOUR

T1 - Spatial and spectral anisotropy in HARP images: an automated approach

AU - Sanz-Estébanez, Santiago

AU - Cordero Grande, Lucilio

AU - Aja-Fernández, Santiago

AU - Martín-Fernández, Marcos

AU - Alberola-López, Carlos

PY - 2016

Y1 - 2016

N2 - Strain and related tensors play a major role in cardiac function characterization, so correct estimation of the local phase in tagged images is crucial for quantitative myocardial motion studies. We propose an Harmonic Phase related procedure that is adaptive in the spatial and the spectral domains: as for the former, we use an angled-steered analysis window prior to the Fourier Transform; as for the latter, the bandpass filter is also angle-adaptive. Both of them are narrow in the modulation direction and wide in the orthogonal direction. Moreover, no parameters are manually set since their values are partially based on the information available at the DICOM headers and additional information is estimated from data. The procedure is tested in terms of accuracy (on synthetic data) and reproducibility (on real data) of the deformation gradient tensor, measured by means of the distribution of the Frobenius norm differences between two tensor datasets.

AB - Strain and related tensors play a major role in cardiac function characterization, so correct estimation of the local phase in tagged images is crucial for quantitative myocardial motion studies. We propose an Harmonic Phase related procedure that is adaptive in the spatial and the spectral domains: as for the former, we use an angled-steered analysis window prior to the Fourier Transform; as for the latter, the bandpass filter is also angle-adaptive. Both of them are narrow in the modulation direction and wide in the orthogonal direction. Moreover, no parameters are manually set since their values are partially based on the information available at the DICOM headers and additional information is estimated from data. The procedure is tested in terms of accuracy (on synthetic data) and reproducibility (on real data) of the deformation gradient tensor, measured by means of the distribution of the Frobenius norm differences between two tensor datasets.

KW - tagged magnetic resonance imaging

KW - harmonic phase

KW - strain tensor

KW - anisotropic Gaussian window

KW - automatic band-pass filtering

KW - thresholding

M3 - Conference paper

JO - International Symposium on Biomedical Imaging (ISBI)

JF - International Symposium on Biomedical Imaging (ISBI)

ER -