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Updated: Feb 10, 2026

Image Acquisition Method for the Sonographic Assessment of the Inferior Vena Cava
Published on: January 13, 2023
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.
Abstract:
Medical research suggests that the anterior-posterior (AP)-diameter of the inferior vena cava (IVC) and its associated temporal variation as imaged by bedside ultrasound is useful in guiding fluid resuscitation of the critically-ill patient. Unfortunately, indistinct edges and gaps in vessel walls are frequently present which impede accurate estimation of the IVC AP-diameter for both human operators and segmentation algorithms. The majority of research involving use of the IVC to guide fluid resuscitation involves manual measurement of the maximum and minimum AP-diameter as it varies over time. This effort proposes using a time-varying circle fitted inside the typically ellipsoid IVC as an efficient, consistent and novel approach to tracking and approximating the AP-diameter even in the context of poor image quality. In this active-circle algorithm, a novel evolution functional is proposed and shown to be a useful tool for ultrasound image processing. The proposed algorithm is compared with an expert manual measurement, and state-of-the-art relevant algorithms. It is shown that the algorithm outperforms other techniques and performs very close to manual measurement.
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