Multiple Measurement Vector Model for Sparsity-Based Vascular Ultrasound Imaging

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

Ultrasound imaging of the vasculature has major significance for the detection of cardiovascular diseases and cancer. However, limited spatial resolution or long acquisition times of existing techniques limit the visualization of the microvascular structures. Enforcing sparsity in the underlying vasculature as well as exploiting statistical independence between voxels have become prominent for fast super-resolution imaging. However, such a statistical independence may not be valid for all voxels and may hence lead to a distorted signal model. Here we present an image reconstruction method that exploits the sparsity of the vasculature data without distorting the original signal model. We employ a multiple measurement vector (MMV) model to enforce the joint sparsity over the images at different time instants. To reduce the computational complexity of obtaining the solution, the ℓ1-SVD method is applied to the MMV model. We demonstrate that our method improves spatial resolution and provides a clear separation between blood vessels. Although our method is slightly slower than existing approaches, it outperforms them in terms of image reconstruction quality.
Original languageEnglish
Title of host publication2021 IEEE Statistical Signal Processing Workshop, SSP 2021
Place of PublicationDanvers
PublisherIEEE
Pages501-505
Number of pages5
ISBN (Electronic)978-1-7281-5767-2
ISBN (Print)978-1-7281-5768-9
DOIs
Publication statusPublished - 2021
Event2021 IEEE Statistical Signal Processing Workshop (SSP) - Virtual at Rio de Janeiro, Brazil
Duration: 11 Jul 202114 Jul 2021

Publication series

NameIEEE Workshop on Statistical Signal Processing Proceedings
Volume2021-July

Workshop

Workshop2021 IEEE Statistical Signal Processing Workshop (SSP)
CountryBrazil
CityVirtual at Rio de Janeiro
Period11/07/2114/07/21

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public

Keywords

  • multiple measurement vector (MMV) model
  • sparse reconstruction
  • vascular ultrasound imaging
  • ℓ1-SVD

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