Int J Comput Assist Radiol Surg - Accurate two-dimensional cardiac strain calculation using adaptive windowed Fourier transform and Gabor wavelet transform.

Tópicos

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Resumo

RPOSE: Cardiac strain calculated from tagged magnetic resonance (MR) images provides clinicians information about abnormalities of heart-wall motion in patients. It is important to develop an accurate method to determine the cardiac strain efficiently. An adaptive windowed harmonic phase (AWHARP) method is proposed for cardiac strain calculation.MATERIALS AND METHODS: AWHARP is based on adaptive windowed Fourier transform (AWFT) and 2D Gabor wavelet transform (2D-GWT). The AWFT provides a spatially varying representation of the signal spectra, which allows the harmonic phase (HARP) image to be extracted with high accuracy. Instantaneous spatial frequencies are calculated using 2D-GWT, and the widths of the adaptive windows are then determined according to the instantaneous spatial frequencies for multi-resolution analysis of phase extraction. The proposed method was studied using simulated images and patients' MR images. Both single tagged images (SPAMM) and subtracted tagged images (CSPAMM) were generated using our simulation method, and their results calculated using AWHARP and HARP methods were compared. Normal and pathological tagged MR images were also processed to evaluate the performance of our method.RESULTS: Our experimental results show that the accuracies of phase and strain images calculated using the AWHARP method are higher than that calculated using the HARP method especially for large tag line deformation. The improvement in accuracies can be up to 3.2 strain (E1) and 17.3 calculation from MR images reveals that the cardiac strain in the end-systolic state is significantly reduced for patients with hypertrophic cardiomyopathy (HCM) compared to that of healthy subjects.CONCLUSION: The proposed AWHARP is an accurate and efficient method for cardiac strain estimation from MR images. This new algorithm can help clinicians to detect left ventricle dysfunctions and myocardial diseases with accurate cardiac strain analysis.

Resumo Limpo

rpose cardiac strain calcul tag magnet reson mr imag provid clinician inform abnorm heartwal motion patient import develop accur method determin cardiac strain effici adapt window harmon phase awharp method propos cardiac strain calculationmateri method awharp base adapt window fourier transform awft d gabor wavelet transform dgwt awft provid spatial vari represent signal spectra allow harmon phase harp imag extract high accuraci instantan spatial frequenc calcul use dgwt width adapt window determin accord instantan spatial frequenc multiresolut analysi phase extract propos method studi use simul imag patient mr imag singl tag imag spamm subtract tag imag cspamm generat use simul method result calcul use awharp harp method compar normal patholog tag mr imag also process evalu perform methodresult experiment result show accuraci phase strain imag calcul use awharp method higher calcul use harp method especi larg tag line deform improv accuraci can strain e calcul mr imag reveal cardiac strain endsystol state signific reduc patient hypertroph cardiomyopathi hcm compar healthi subjectsconclus propos awharp accur effici method cardiac strain estim mr imag new algorithm can help clinician detect left ventricl dysfunct myocardi diseas accur cardiac strain analysi

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