Increasing frame rate of echocardiography based on a novel 2D spatio-temporal meshless interpolation

Jalilian, Hamed; Afrakhteh, Sajjad; Iacca, Giovanni; Demi, Libertario

doi:10.1016/j.ultras.2023.106953

Cited by 16 publications

(3 citation statements)

References 28 publications

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“…Radial Basis Functions (RBFs) have been frequently used in recent years to interpolate high-dimensional sparse data [28], [29]. The main advantage of this technique is that it delivers respectable numerical results without entailing complicated computations.…”

Section: A Rbf-based 2d Interpolationmentioning

confidence: 99%

Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation

Tuccio,

Afrakhteh,

Iacca

et al. 2024

IEEE Trans. Med. Imaging

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Ultrasound localization microscopy (ULM) allows for the generation of super-resolved (SR) images of the vasculature by precisely localizing intravenously injected microbubbles. Although SR images may be useful for diagnosing and treating patients, their use in the clinical context is limited by the need for prolonged acquisition times and high frame rates. The primary goal of our study is to relax the requirement of high frame rates to obtain SR images. To this end, we propose a new time-efficient ULM (TEULM) pipeline built on a cutting-edge interpolation method. More specifically, we suggest employing Radial Basis Functions (RBFs) as interpolators to estimate the missing values in the 2-dimensional (2D) spatio-temporal structures. To evaluate this strategy, we first mimic the data acquisition at a reduced frame rate by applying a downsampling (DS = 2, 4, 8, and 10) factor to high frame rate ULM data. Then, we up-sample the data to the original frame rate using the suggested interpolation to reconstruct the missing frames. Finally, using both the original high frame rate data and the interpolated one, we reconstruct SR images using the ULM framework steps. We evaluate the proposed TEULM using four in vivo datasets, a Rat brain (dataset A), a Rat kidney (dataset B), a Rat tumor (dataset C) and a Rat brain bolus (dataset D), interpolating at the inphase and quadrature (IQ) level. Results demonstrate the effectiveness of TEULM in recovering vascular structures, even at a DS rate of 10 (corresponding to a frame rate of sub-100Hz). In conclusion, the proposed technique is successful in reconstructing accurate SR images while requiring frame rates of one order of magnitude lower than standard ULM.

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Section: A Rbf-based 2d Interpolationmentioning

confidence: 99%

Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation

Tuccio,

Afrakhteh,

Iacca

et al. 2024

IEEE Trans. Med. Imaging

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“…For quantitative evaluation of the proposed method, three parameters ( MAE, PSNR, and SSIM) have been measured [28,29,30]. In fact, with the help of these Algorithm 2: MBBM Input : ϵ, x 0 , k = 0 , η 0 = 1 ,β ∈ (0, 1), λ ∈ (0, 1)…”

Section: Image Quality Metricsmentioning

confidence: 99%

Total Variation Method Based on Modified Barzilai-Borwein Algorithm to Noise Reduction in MRI Images

Jalilian

2023

Preprint

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Magnetic resonance imaging (MRI), notwithstanding the vital information they provide , introduces issues in diagnostic work due to inherent noise. The poor signal-to-noise ratio (SNR) in MRI images demonstrates the importance of post-processing procedures. There are numerous strategies for reducing noise, but there is still a need for a solution that has both high accuracy and a fast convergence speed. In this study, we present a total variation (TV) method for noise reduction in MRI images utilizing a modified Barzilai-Borwein method(MBBM) algorithm. The proposed method is tested on three noisy and blurred images (IXI data set 3.1). The findings reveal that the reconstructed images have less noise and sharper edges. In comparison to similar existing iterative methods, Gradient projection method(GP) and Barzilai-Borwein method(BBM), the proposed method achieves higher accuracy in a substantially smaller number of iterations. The MBBM technique enhanced the quality metrics, Peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) for the first data set (data 2a). For instance, the PSNR and SSIM for noise level 0.06 improved from 2.62 and 0.22 to 33.12 and 0.90, respectively. This improvement in rating criteria was also seen in the next two experiments(data 2b and data 2c). When compared to similar methods, experimental results reveal that the suggested method is faster, more precise, more successful at preserving edges, and less compu-tationally demanding. Consequently, the presented method is effective and reliable both quantitatively and qualitatively.

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“…A pixel is tracked through time and the resulting IVTC is interpolated using splines 14 or radial basis functions. 15,16 However, it requires more than two frames. Research on temporal interpolation in PD-US is sparse; one example is our work on an interpolation method in combination with an early version of the error-reducing method presented in this paper.…”

Section: Introductionmentioning

confidence: 99%

Motion-based temporal interpolations of power Doppler ultrasound

Biberger,

Kirisits,

Wallinger

et al. 2024

Medical Imaging 2024: Ultrasonic Imaging and Tomography

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Power Doppler ultrasound (PD-US) is used for visualizing and diagnosing blood circulation, yet its insufficient frame rate presents a significant challenge for practitioners. To increase the frame rate, we investigate three existing motion-based interpolation methods and find they perform better than linear interpolation but can not provide medically consistent temporal interpolations for PD-US. We address these limitations by proposing a method to detect and correct interpolation error-affected regions in temporal interpolations through differences in extrapolation matchings, motion smoothness and motion variance. We validate our approach using clinical obstetric data.

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Increasing frame rate of echocardiography based on a novel 2D spatio-temporal meshless interpolation

Cited by 16 publications

References 28 publications

Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation

Time Efficient Ultrasound Localization Microscopy Based on A Novel Radial Basis Function 2D Interpolation

Total Variation Method Based on Modified Barzilai-Borwein Algorithm to Noise Reduction in MRI Images

Motion-based temporal interpolations of power Doppler ultrasound

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