Partial Volume Effect and Correction for 3-D Color Flow Acquisition of Volumetric Blood Flow

Kripfgans, Oliver D.; Rubin, Jonathan M.; Pintér, Š.; Jago, James; Leichner, Ron; Fowlkes, J. Brian

doi:10.1109/tuffc.2019.2934119

Cited by 8 publications

(8 citation statements)

References 36 publications

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“…The distribution of power values that correspond to 100% blood are assigned fractional pixel weighting w = 1; partial‐volume pixel values are assigned fractional pixel weights of 0 < w < 1; and background pixels are assigned w = 0. These weightings are obtained from a histogram composed of power Doppler values produced from several C‐surface slices above, below, and including the surface of interest 28 . The partial volume weights are generated from this histogram.…”

Section: Methodsmentioning

confidence: 99%

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Comparison of Variations Between Spectral Doppler and Gaussian Surface Integration Methods for Umbilical Vein Blood Volume Flow

Rubin

Fowlkes

et al. 2020

J of Ultrasound Medicine

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Objectives We are studying a new method for estimating blood volume flow that uses 3‐dimensional ultrasound to measure the total integrated flux through an ultrasound‐generated Gaussian surface that intersects the umbilical cord. This method makes none of the assumptions typically required with standard 1‐dimensional spectral Doppler volume flow estimates. We compared the variations in volume flow estimates between techniques in the umbilical vein. Methods The study was Institutional Review Board approved, and all 12 patients gave informed consent. Because we had no reference standard for the true umbilical vein volume flow, we compared the variations of the measurements for the flow measurement techniques. At least 3 separate spectral Doppler and 3 separate Gaussian surface measurements were made along the umbilical vein. Means, standard deviations, and coefficients of variation (standard deviation/mean) for the flow estimation techniques were calculated for each patient. P < .05 was considered significant. Results The ranges of the mean volume flow estimates were 174 to 577 mL/min for the spectral Doppler method and 100 to 341 mL/min for the Gaussian surface integration (GSI) method. The mean standard deviations (mean ± SD) were 161 ± 95 and 45 ± 48 mL/min for the spectral Doppler and GSI methods, respectively (P < .003). The mean coefficients of variation were 0.46 ± 0.17 and 0.18 ± 0.14 for the spectral Doppler and GSI methods respectively (P < 0.002). Conclusions The new volume flow estimation method using 3‐dimensional ultrasound appears to have significantly less variation in estimates than the standard 1‐dimensional spectral Doppler method.

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Section: Methodsmentioning

confidence: 99%

“…These weightings are obtained from a histogram composed of power Doppler values produced from several C-surface slices above, below, and including the surface of interest. 28 The partial volume weights are generated from this histogram.…”

Section: Methodsmentioning

confidence: 99%

Comparison of Variations Between Spectral Doppler and Gaussian Surface Integration Methods for Umbilical Vein Blood Volume Flow

Rubin

Fowlkes

et al. 2020

J of Ultrasound Medicine

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“…Compared to a Transonics flow probe, the derived estimates had a bias of −4.2% with a standard deviation of 10.7% for flows between 60-750 mL/min. Kripfgans et al have proposed using weighted velocity integration to overcome partial insonation effects in major vessels [8], [16]. The authors used a wideband 2 to 5 MHz transducer in [8], and a 3.75 MHz transducer in [16].…”

Section: A Flow Estimation Accuracymentioning

confidence: 99%

“…Wilson et al [9], for instance, reported that while CF-derived middle cerebral artery diameter estimates were correlated with those obtained from MRA, the former were higher by nearly a factor of two. The resulting BF measurements have also been reported to be sensitive to variations in beam-to-vessel angle and rely on the assumption that the vessel cross-section is circular [8], [16].…”

Section: Introductionmentioning

confidence: 99%

“…In their original scheme, the authors computed the weights by linearly scaling the CF power. Recently, however, the authors suggested that the relation between true voxel weight and CF power is nonlinear [16]. Moreover, the authors have noted that their method may not be applicable for imaging "small vessels at depth, where high frequency beams are challenged by signal to noise (SNR) and possible aberration effects.…”

Section: Introductionmentioning

confidence: 99%

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Deconvolution-Based Partial Volume Correction for Volumetric Blood Flow Measurement

Imaduddin

Sodini

Heldt

2022

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Ultrasound-based blood flow monitoring is vital in the diagnosis and treatment of a variety of cardiovascular and neurologic conditions. Finite spatial resolution of clinical color flow (CF) systems, however, has hampered measurement of vessel cross-section areas. We propose a resolution enhancement technique that allows reliable determination of blood flow in small vessels. We leverage sparsity in the spatial distribution of the frequency spectrum of routinely collected CF data to blindly determine the point spread function (PSF) of the imaging system in a robust manner. The CF data are then deconvolved with the PSF, and the volumetric flow is computed using the resulting velocity profiles. Data were collected from phantom blood vessels with diameters between 2 and 6 mm using a clinical ultrasound system at 2 MHz insonation frequency. The proposed method yielded a flow estimation bias of 0 mL/min, standard deviation of error (SDE) of 22 mL/min, and a root-mean-square error (RMSE) of 22 mL/min over a 150 mL/min range of mean flows. Recordings were also obtained in low SNR conditions using a skull mimicking element, resulting in an estimation bias of −13 mL/min, SDE of 23 mL/min, and an RMSE of 26 mL/min. The effect of insonation frequency was also investigated by obtaining recordings at 4.3 MHz, yielding an estimation bias of −16 mL/min, SDE of 16 mL/min, and an RMSE of 22 mL/min. The results indicate that our technique can lead to clinically acceptable flow measurements across a range of vessel diameters in high and low SNR regimes.

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Recurrent Neural Networks in Prediction of Blood Flow in Hybrid-Digital Model of Cardiovascular System

Ślęzak,

Kopernik,

Major

2024

Lecture Notes in Bioengineering

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Partial Volume Effect and Correction for 3-D Color Flow Acquisition of Volumetric Blood Flow

Cited by 8 publications

References 36 publications

Comparison of Variations Between Spectral Doppler and Gaussian Surface Integration Methods for Umbilical Vein Blood Volume Flow

Comparison of Variations Between Spectral Doppler and Gaussian Surface Integration Methods for Umbilical Vein Blood Volume Flow

Deconvolution-Based Partial Volume Correction for Volumetric Blood Flow Measurement

Recurrent Neural Networks in Prediction of Blood Flow in Hybrid-Digital Model of Cardiovascular System

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