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John Albinsson, MSc, PhD

John Albinsson

Research engineer

John Albinsson, MSc, PhD

A combination of parabolic and grid slope interpolation for 2D tissue displacement estimations

Author

  • John Albinsson
  • Åsa Rydén Ahlgren
  • Tomas Jansson
  • Magnus Cinthio

Summary, in English

Parabolic sub-sample interpolation for 2D block-matching motion estimation is computationally efficient. However, it is well known that the parabolic interpolation gives a biased motion estimate for displacements greater than |y.2| samples (y = 0, 1, …). Grid slope sub-sample interpolation is less biased, but it shows large variability for displacements close to y.0. We therefore propose to combine these sub-sample methods into one method (GS15PI) using a threshold to determine when to use which method. The proposed method was evaluated on simulated, phantom, and in vivo ultrasound cine loops and was compared to three sub-sample interpolation methods. On average, GS15PI reduced the absolute sub-sample estimation errors in the simulated and phantom cine loops by 14, 8, and 24% compared to sub-sample interpolation of the image, parabolic sub-sample interpolation, and grid slope sub-sample interpolation, respectively. The limited in vivo evaluation of estimations of the longitudinal movement of the common carotid artery using parabolic and grid slope sub-sample interpolation and GS15PI resulted in coefficient of variation (CV) values of 6.9, 7.5, and 6.8%, respectively. The proposed method is computationally efficient and has low bias and variance. The method is another step toward a fast and reliable method for clinical investigations of longitudinal movement of the arterial wall.

Department/s

  • Department of Biomedical Engineering
  • Clinical Physiology and Nuclear Medicine, Malmö
  • Biomedical Engineering, Lund

Publishing year

2017-08

Language

English

Pages

1327-1338

Publication/Series

Medical & Biological Engineering & Computing

Volume

55

Issue

8

Document type

Journal article

Publisher

Springer

Topic

  • Medical Image Processing

Keywords

  • Block matching
  • In silico
  • In vivo
  • Speckle tracking
  • Sub-sample estimation
  • Ultrasound

Status

Published

Research group

  • Clinical Physiology and Nuclear Medicine, Malmö

ISBN/ISSN/Other

  • ISSN: 0140-0118