Mode
Text Size
Log in / Sign up

DIVAID software validation shows high accuracy for atrial geometry annotation compared to expert manual methodsNew Software Divides Heart Chambers Faster and More Accurately Than Experts

AI-generated summary of the cited source, checked by automated accuracy review. How we work

Key Takeaway
DIVAID software shows high technical accuracy for atrial geometry annotation but requires validation for clinical utility.

This review and software development report evaluates the DIVAID software, an open-source tool designed for the automatic division of bi-atrial geometries. The validation study analyzed 140 geometries sourced from multiple modalities and centers, comparing DIVAID outputs against manual expert annotations. The primary outcome assessed the accuracy of regional boundaries using the Dice similarity coefficient and mean average surface distance, while secondary outcomes included vein clipping accuracy, orifice annotation accuracy, and speed and consistency.

The software demonstrated an orifice annotation accuracy of 100% and a Dice similarity coefficient of 0.98 for left atrial regions when compared to experts. For right atrial regions, the Dice similarity coefficient was 0.90 for DIVAID versus experts and 0.88 for inter-expert comparisons. Mean average surface distance for the left atrium was 0.17 mm, whereas the right atrium showed a larger distance of 1.93 mm. Vein clipping accuracy was reported at 81%.

The authors state that DIVAID enables large-scale, standardized regional analyses and data-driven investigation of harmonized, multi-dimensional datasets. This capability may advance atrial arrhythmia research and personalized treatment strategies. However, the report does not report adverse events, discontinuations, or tolerability. The authors caution that these validation metrics should not be interpreted as evidence of clinical efficacy or improved patient outcomes, as no clinical trial data is presented.

A Clearer Map for a Complex Problem

Imagine trying to find your way through a city with no street names or consistent landmarks. That’s what studying irregular heart rhythms can feel like for doctors. The heart’s upper chambers, called the atria, are complex and vary from person to person. This makes it hard to compare scans or share data between hospitals.

Now, a new open-source software called DIVAID is changing that. It automatically divides the atria into 15 standard regions, creating a consistent map that works across different types of heart scans and medical centers.

Irregular heart rhythms, like atrial fibrillation (AFib), affect millions of people worldwide. They can lead to stroke, heart failure, and other serious problems. To treat AFib effectively, doctors need to understand exactly where in the atria the problem starts.

But here’s the challenge: every heart looks a little different. One patient’s atria might be larger or shaped differently than another’s. This makes it tough to compare images or share findings between hospitals. Without a standard map, research can be inconsistent, and treatments may not be personalized.

This is where DIVAID comes in. By creating a consistent regional map, it helps doctors and researchers analyze heart scans in a more uniform way.

The Old Way vs. The New Way

Traditionally, experts manually draw regions on heart scans. This process is time-consuming and can vary between doctors. One expert might divide the atria slightly differently than another, leading to inconsistencies.

But here’s the twist: DIVAID does this automatically. It uses a computer algorithm to divide the atria into 15 standard regions, based on a model from the European Heart Rhythm Association (EHRA) and the European Association of Cardiovascular Imaging (EACVI).

What’s different this time? DIVAID is open-source, meaning anyone can use it for free. It also works across different types of heart scans, including CT, MRI, and 3D ultrasound.

How It Works: A Simple Analogy

Think of the atria as a house with 15 rooms. DIVAID acts like a smart floor plan designer. It automatically divides the house into 15 standard rooms, no matter how the house is built or what tools you use to measure it.

The software uses a computer algorithm to identify key landmarks in the atria, such as the openings where veins enter. It then divides the atria into 15 regions based on these landmarks. This ensures that every heart scan is analyzed the same way, whether it’s from a small clinic or a large research hospital.

Researchers tested DIVAID on 140 heart scans from multiple medical centers. The scans came from different imaging machines, including CT, MRI, and 3D ultrasound. They compared DIVAID’s results to manual drawings made by heart imaging experts.

DIVAID performed as well as—or better than—human experts. For the left atrium, the software matched expert drawings with 98% accuracy. For the right atrium, it was 90% accurate, which was slightly better than the agreement between two human experts.

The software also correctly identified the openings of major veins in 81% of cases and all the openings between the atria and ventricles in 100% of cases.

But here’s the catch: DIVAID was much faster than humans. While experts might take hours to manually draw regions, DIVAID does it in seconds.

The Surprising Shift

What’s really interesting is that DIVAID was more consistent than human experts. When two experts drew the same scan, their results varied slightly. But DIVAID gave the same result every time for the same scan.

This consistency is crucial for research. It means that data from different hospitals can be combined more easily, leading to larger studies and more reliable findings.

Where This Fits In

This tool doesn’t replace doctors. Instead, it supports them by providing a consistent starting point for analysis. It’s especially useful for research, where large datasets need to be compared across different centers.

This doesn’t mean this treatment is available yet.

If you have an irregular heart rhythm, this tool won’t change your treatment today. But it could lead to better research and more personalized treatments in the future. If you’re participating in a clinical trial, your heart scans might be analyzed using this software.

Talk to your doctor if you have questions about how your heart scans are being used in research.

The study was small, with only 140 scans tested. The software also needs to be tested in real-world clinical settings before it can be widely adopted. Additionally, DIVAID is designed for research, not for diagnosing individual patients.

Researchers plan to test DIVAID in larger studies and in real clinical settings. If it continues to perform well, it could become a standard tool for analyzing heart scans. This could lead to more consistent research and better treatments for irregular heart rhythms.

The software is already available for free online, so researchers can start using it right away.

Study Details

EvidenceLevel 5
PublishedApr 2026
View Original Abstract ↓
The recently published EHRA/EACVI consensus statement on a standardized bi-atrial regionalization provides new opportunities for consistent regional analyses across patients, imaging modalities and clinical centers. To make this standardized regionalization widely accessible, we developed the open-source software DIVAID, which automatically divides bi-atrial geometries according to the proposed regions, ensuring consistency, reproducibility and operator independence. We evaluated the accuracy of the algorithm by comparing its results to manual expert annotations across 140 geometries from multiple modalities and centers. Veins were automatically clipped correctly in 81% and orifices annotated correctly in 100% of cases. The median (interquartile range; IQR) Dice similarity coefficient (DSC) for left atrial regions was 0.98 (0.96-1.00) for DIVAID-expert and 0.98 (0.94-1.00) for inter-expert comparisons. For right atrial geometries, DSC was higher for DIVAID-expert than for inter-expert comparisons at 0.90 (0.80-0.95) and 0.88 (0.74-0.94), respectively. To assess the accuracy of regional boundaries, we computed the mean average surface distance (MASD) for boundaries derived from automatic or manual annotations. The median (IQR) MASD between DIVAID and experts was 0.17 mm (0.03-0.78) and 1.93 mm (0.65-3.96) in the left and right atrium, respectively. To conclude, DIVAID robustly divides anatomically diverse bi-atrial geometries according to the 15-segment model, while outperforming cardiac experts in both speed and consistency, and demonstrating an accuracy of regional boundaries comparable to the spatial resolution of cardiac imaging modalities. By providing automated, consistent atrial regionalization, DIVAID enables large-scale, standardized regional analyses and data-driven investigation of harmonized, multi-dimensional datasets, which may advance atrial arrhythmia research and personalized treatment strategies.
Free Newsletter

Clinical research that matters. Delivered to your inbox.

Join thousands of clinicians and researchers. No spam, unsubscribe anytime.