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Neural implicit heart coordinates: 3D cardiac shape reconstruction from sparse segmentations.

Marica Muffoletto¹, Uxio Hermida¹, Charlène A Mauger¹

¹School of Biomedical Engineering and Imaging Sciences, King's College London, London, UK.

Medical Image Analysis

|April 11, 2026

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This summary is machine-generated.

Neural Implicit Heart Coordinates (NIHCs) enable accurate 3D cardiac reconstruction from sparse images. This new method provides a standardized anatomical reference frame, improving patient-specific modeling efficiency and accuracy.

Area of Science:

Medical Imaging
Computational Anatomy
Biomedical Engineering

Background:

Accurate patient-specific cardiac modeling from limited clinical images is challenging.
Existing neural implicit functions have limitations in cross-subject anatomical consistency.
Developing standardized anatomical reference frames for the heart is crucial for robust modeling.

Purpose of the Study:

Introduce Neural Implicit Heart Coordinates (NIHCs) as a standardized implicit coordinate system for the human heart.
Enable anatomically consistent 3D cardiac reconstruction from sparse 2D segmentations.
Improve the efficiency and accuracy of patient-specific cardiac modeling.

Main Methods:

Developed NIHCs based on universal ventricular coordinates.

Keywords:

3D mesh reconstruction Cardiac imaging Neural implicit functions Universal ventricular coordinates

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Predicted NIHCs directly from sparse 2D cardiac segmentations.

Decoded NIHCs into dense 3D segmentations and high-resolution meshes.

Trained the model on a large dataset of 5000 cardiac meshes.

Main Results:

Achieved high reconstruction accuracy with mean Euclidean surface errors of 2.51 ± 0.33 mm (diseased) and 2.31 ± 0.36 mm (healthy).
Demonstrated anatomically coherent reconstruction under severe data sparsity and noise.
Successfully recovered complex cardiac structures like valve planes.
Reduced inference time from over 60s to 5-15s compared to traditional methods.

Conclusions:

NIHCs provide a robust and efficient anatomical representation for 3D cardiac reconstruction.
The method significantly improves patient-specific modeling from minimal input data.
NIHCs offer a standardized framework for consistent cardiac anatomy mapping across subjects.