Higher Order Singular Value Decomposition Filter for Contrast Echocardiography

Geraldi Wahyulaksana*, Luxi Wei, Jason Voorneveld, Maaike Te Lintel Hekkert, Mihai Strachinaru*, Dirk J. Duncker, Nico De Jong, Antonius F.W. Van Der Steen, Hendrik J. Vos

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Assessing the coronary circulation with contrast-enhanced echocardiography has high clinical relevance. However, it is not being routinely performed in clinical practice because the current clinical tools generally cannot provide adequate image quality. The contrast agent's visibility in the myocardium is generally poor, impaired by motion and nonlinear propagation artifacts. The established multipulse contrast schemes (MPCSs) and the more experimental singular value decomposition (SVD) filter also fall short to solve these issues. Here, we propose a scheme to process amplitude modulation/amplitude-modulated pulse inversion (AM/AMPI) echoes with higher order SVD (HOSVD) instead of conventionally summing the complementary pulses. The echoes from the complementary pulses form a separate dimension in the HOSVD algorithm. Then, removing the ranks in that dimension with dominant coherent signals coming from tissue scattering would provide the contrast detection. We performed both in vitro and in vivo experiments to assess the performance of our proposed method in comparison with the current standard methods. A flow phantom study shows that HOSVD on AM pulsing exceeds the contrast-to-background ratio (CBR) of conventional AM and an SVD filter by 10 and 14 dB, respectively. In vivo porcine heart results also demonstrate that, compared to AM, HOSVD improves CBR in open-chest acquisition (up to 19 dB) and contrast ratio (CR) in closed-chest acquisition (3 dB).

Original languageEnglish
Pages (from-to)1371-1383
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume70
Issue number11
DOIs
Publication statusPublished - 2023

Keywords

  • Contrast-enhanced ultrasound (CEUS)
  • higher order singular value decomposition (HOSVD)
  • microbubble detection
  • myocardial perfusion
  • ultrafast imaging

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