Publication detail

Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis

SCHÄFER, S. NYLUND, K. SAVIK, F. ENGJOM, T. MÉZL, M. JIŘÍK, R. DIMCEVSKI, G. GILJA, O. TÖNNIES, K.

Original Title

Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis

English Title

Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis

Type

journal article in Web of Science

Language

en

Original Abstract

This paper presents a system for correcting motion influences in time-dependent 2D contrast-enhanced ultrasound (CEUS) images to assess tissue perfusion characteristics. The system consists of a semi-automatic frame selection method to find images with out-of-plane motion as well as a method for automatic motion compensation. Translational and non-rigid motion compensation is applied by introducing a temporal continuity assumption. A study consisting of 40 clinical datasets was conducted to compare the perfusion with simulated perfusion using pharmacokinetic modeling. Overall, the proposed approach decreased the mean average difference between the measured perfusion and the pharmacokinetic model estimation. It was non-inferior for three out of four patient cohorts to a manual approach and reduced the analysis time by 41% compared to manual processing.

English abstract

This paper presents a system for correcting motion influences in time-dependent 2D contrast-enhanced ultrasound (CEUS) images to assess tissue perfusion characteristics. The system consists of a semi-automatic frame selection method to find images with out-of-plane motion as well as a method for automatic motion compensation. Translational and non-rigid motion compensation is applied by introducing a temporal continuity assumption. A study consisting of 40 clinical datasets was conducted to compare the perfusion with simulated perfusion using pharmacokinetic modeling. Overall, the proposed approach decreased the mean average difference between the measured perfusion and the pharmacokinetic model estimation. It was non-inferior for three out of four patient cohorts to a manual approach and reduced the analysis time by 41% compared to manual processing.

Keywords

Ultrasonography, Motion analysis, Motion compensation, Registration, CEUS, Contrast-enhanced ultrasound, Perfusion, Perfusion modeling

RIV year

2015

Released

16.10.2014

Publisher

Elsevier

Pages from

1

Pages to

9

Pages count

9

URL

BibTex


@article{BUT110377,
  author="Sebastian {Schäfer} and Kim {Nylund} and Fredrik {Sævik} and Trond {Engjom} and Martin {Mézl} and Radovan {Jiřík} and Georg {Dimcevski} and Odd Helge {Gilja} and Klaus {Tönnies}",
  title="Semi-automatic motion compensation of contrast-enhanced ultrasound images from abdominal organs for perfusion analysis",
  annote="This paper presents a system for correcting motion influences in time-dependent 2D contrast-enhanced ultrasound (CEUS) images to assess tissue perfusion characteristics. The system consists of a semi-automatic frame selection method to find images with out-of-plane motion as well as a method for automatic motion compensation. Translational and non-rigid motion compensation is applied by introducing a temporal continuity assumption. A study consisting of 40 clinical datasets was conducted to compare the perfusion with simulated perfusion using pharmacokinetic modeling. Overall, the proposed approach decreased the mean average difference between the measured perfusion and the pharmacokinetic model estimation. It was non-inferior for three out of four patient cohorts to a manual approach and reduced the analysis time by 41% compared to manual processing.",
  address="Elsevier",
  chapter="110377",
  doi="10.1016/j.compbiomed.2014.09.014",
  howpublished="online",
  institution="Elsevier",
  number="-",
  volume="-",
  year="2014",
  month="october",
  pages="1--9",
  publisher="Elsevier",
  type="journal article in Web of Science"
}