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July 20, 2018IEEE Transactions on Biomedical EngineeringOpen Access

Background Removal and Vessel Filtering of Noncontrast Ultrasound Images of Microvasculature

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Population

16 subjects

Comparison

Singular value thresholding combined with… vs Conventional power Doppler imaging using…

Design

Other

Authors

MBMahdi BayatUniversity of MinnesotaMFMostafa FatemiMayo ClinicAAAzra AlizadMayo Clinic

Discussion

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Implication

May enhance noncontrast microvasculature visibility in select organs; leaves open clinical translation pending validation in larger cohorts.

Structured PICO

P
Population
16 subjects (1 healthy subject for kidney imaging, 5 healthy subjects for liver imaging, 5 patients with thyroid nodules, and 5 patients with breast tumors)
I
Intervention
Singular value thresholding combined with morphological-based filtering (top-hat) and multiscale Hessian-based vessel enhancement filtering
C
Comparator
Conventional power Doppler imaging using infinite impulse response filtering
O
Outcome
Peak-to-side level gain (dB) for vessel-background separationsurrogate

The proposed filtering algorithm significantly improves the visualization of deep-seated small vessels in noncontrast ultrasound imaging.

Cite This Study

Bayat et al. (2018) studied this question.

synapsesocial.com/papers/6a90ff4eb24842dac47a6fc1https://doi.org/10.1109/tbme.2018.2858205
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