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Magnus Cinthio, MSc, PhD. Photo.

Magnus Cinthio

Senior lecturer

Magnus Cinthio, MSc, PhD. Photo.

Iterative 2D tissue motion tracking in ultrafast ultrasound imaging

Author

  • John Albinsson
  • Hideyuki Hasegawa
  • Hiroki Takahashi
  • Enrico Boni
  • Alessandro Ramalli
  • Asa Rydén Ahlgren
  • Magnus Cinthio

Summary, in English

In order to study longitudinal movement and intramural shearing of the arterial wall with a Lagrangian viewpoint using ultrafast ultrasound imaging, a new tracking scheme is required. We propose the use of an iterative tracking scheme based on temporary down-sampling of the frame-rate, anteroposterior tracking, and unbiased block-matching using two kernels per position estimate. The tracking scheme was evaluated on phantom B-mode cine loops and considered both velocity and displacement for a range of down-sampling factors (k = 1-128) at the start of the iterations. The cine loops had a frame rate of 1300-1500 Hz and were beamformed using delay-and-sum. The evaluation on phantom showed that both the mean estimation errors and the standard deviations decreased with an increasing initial down-sampling factor, while they increased with an increased velocity or larger pitch. A limited in vivo study shows that the major pattern of movement corresponds well with state-of-the-art low frame rate motion estimates, indicating that the proposed tracking scheme could enable the study of longitudinal movement of the intima-media complex using ultrafast ultrasound imaging, and is one step towards estimating the propagation velocity of the longitudinal movement of the arterial wall.

Department/s

  • Department of Biomedical Engineering
  • Department of Translational Medicine

Publishing year

2018-04-25

Language

English

Publication/Series

Applied Sciences (Switzerland)

Volume

8

Issue

5

Document type

Journal article

Publisher

MDPI AG

Topic

  • Medical Image Processing
  • Radiology, Nuclear Medicine and Medical Imaging

Keywords

  • Arterial longitudinal wall movement
  • Block-matching
  • In vivo
  • Speckle tracking
  • Ultrafast ultrasound imaging

Status

Published

ISBN/ISSN/Other

  • ISSN: 2076-3417