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A two-fold enhancement of ultrasound vessel images using a non-local based and morphological filtering
Author(s): Saba Adabi; Siavash Ghavami; Mahdi Bayat; Mostafa Fatemi; Azra Alizad
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Paper Abstract

In addition to structural morphology, tissue’s vascular network may provide valuable complementary information on the altered lesions and the tumor angiogenesis. Although ultrafast Doppler ultrasound (UDF) imaging enables ultrasound to image microvessels with high sensitivity, these images still suffer from artifacts. In this study, we addressed small vessel visualization and associated noise problem in ultrasound high framerate plane wave in-vivo imaging. We developed a combination of nonlocal means and morphological filtering on the UDF clutter removed data in order to obtain enhanced vessel images and improved outlining. We tested our algorithm on a flow phantom and in vivo data of the breast masses. The results show that the proposed method added an incremental gain of about 16 dB in terms of signal to noise ratio and has potential to facilitate ultrasound small vessel imaging quantification.

Paper Details

Date Published: 15 March 2019
PDF: 5 pages
Proc. SPIE 10955, Medical Imaging 2019: Ultrasonic Imaging and Tomography, 1095506 (15 March 2019); doi: 10.1117/12.2512624
Show Author Affiliations
Saba Adabi, Mayo Clinic (United States)
Siavash Ghavami, Mayo Clinic (United States)
Mahdi Bayat, Mayo Clinic (United States)
Mostafa Fatemi, Mayo Clinic (United States)
Azra Alizad, Mayo Clinic (United States)


Published in SPIE Proceedings Vol. 10955:
Medical Imaging 2019: Ultrasonic Imaging and Tomography
Brett C. Byram; Nicole V. Ruiter, Editor(s)

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