High range resolution ultrasonographic vascular imaging using frequency domain interferometry with the capon method

Hirofumi Taki, Kousuke Taki, Takuya Sakamoto, Makoto Yamakawa, Tsuyoshi Shiina, Motoi Kudo, Toru Sato

Research output: Contribution to journalArticlepeer-review

32 Citations (Scopus)

Abstract

For high range resolution ultrasonographic vascular imaging, we apply frequency domain interferometry with the Capon method to a single frame of in-phase and quadrature (IQ) data acquired using a commercial ultrasonographic device with a 7.5 MHz linear array probe. In order to tailor the adaptive beamforming algorithm for ultrasonography we employ four techniques: frequency averaging, whitening, radio-frequency data oversampling, and the moving average. The proposed method had a range resolution of 0.05 mm in an ideal condition, and experimentally detected the boundary couple 0.17 mm apart, where the boundary couple was indistinguishable from a single boundary utilizing a B-mode image. Further, this algorithm could depict a swine femoral artery with a range beam width of 0.054 mm and an estimation error for the vessel wall thickness of 0.009 mm, whereas using a conventional method the range beam width and estimation error were 0.182 and 0.021 mm, respectively. The proposed method requires 7.7 s on a mobile PC with a single CPU for a 1\times 3~{\hbox {cm}} region of interest. These findings indicate the potential of the proposed method for the improvement of range resolution in ultrasonography without deterioration in temporal resolution, resulting in enhanced detection of vessel stenosis.

Original languageEnglish
Article number6035979
Pages (from-to)417-429
Number of pages13
JournalIEEE Transactions on Medical Imaging
Volume31
Issue number2
DOIs
Publication statusPublished - 2012 Feb

Keywords

  • Adaptive signal processing
  • Capon method
  • frequency domain interferometry
  • ultrasonic imaging
  • vascular ultrasound

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering

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