Estimation and tracking of AP-diameter of the inferior vena cava in ultrasound images using a novel active circle

Ebrahim Karami1, Mohamed S Shehata1, Andrew Smith2

  • 1Department of Engineering and Applied Sciences, Memorial University, Canada.

Insights

This study introduces an active-circle algorithm to measure the anterior-posterior (AP)-diameter of the inferior vena cava (IVC) using ultrasound. The novel method accurately tracks IVC diameter variations, aiding fluid resuscitation in critically ill patients.

Area of Science:

  • Medical imaging
  • Critical care medicine
  • Biomedical engineering

Background:

  • Bedside ultrasound measurement of the inferior vena cava (IVC) anterior-posterior (AP)-diameter aids fluid resuscitation in critically ill patients.
  • Image quality issues like indistinct vessel edges hinder accurate IVC AP-diameter measurement by humans and algorithms.
  • Current methods often rely on manual measurement of IVC diameter variations over time.

Purpose of the Study:

  • To develop and validate a novel active-circle algorithm for consistent and efficient tracking of the IVC AP-diameter.
  • To improve the accuracy of IVC AP-diameter estimation, especially in cases of poor ultrasound image quality.
  • To provide a reliable tool for guiding fluid resuscitation in critically ill patients.

Main Methods:

  • An active-circle algorithm was developed, fitting a time-varying circle within the IVC to approximate its AP-diameter.
  • A novel evolution functional was proposed for enhanced ultrasound image processing.
  • The algorithm's performance was compared against expert manual measurements and state-of-the-art algorithms.

Main Results:

  • The active-circle algorithm demonstrated efficient and consistent tracking of the IVC AP-diameter.
  • The proposed algorithm showed superior performance compared to other automated techniques.
  • The algorithm's results closely approximated expert manual measurements, even with suboptimal image quality.

Conclusions:

  • The active-circle algorithm offers a novel and effective approach for estimating IVC AP-diameter from ultrasound images.
  • This method shows promise for improving the guidance of fluid resuscitation in critically ill patients.
  • The algorithm's robustness in handling poor image quality makes it a valuable tool in critical care settings.

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