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Related Experiment Video

Updated: Apr 11, 2026

Ultrasound Localization Microscopy for Super-Resolution Mapping of the Rodent Brain Microvasculature

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Published on: November 14, 2025

VesSynth: Tubes Are All You Need for Robust Cross-Scale Cross-Modal 3D Vessel Segmentation.

Chiara Mauri^1,2, Allison Mckenzie¹, Cole Analoro¹

¹Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA.

Biorxiv : the Preprint Server for Biology

|April 10, 2026

Summary

This summary is machine-generated.

VesSynth is a new framework for segmenting cerebral blood vessels across different imaging types and scales. It achieves high accuracy using synthetic data, enabling comprehensive study of brain vasculature in health and disease.

Keywords:

Convolutional Neural Networks U-Net Vessel segmentation domain randomization synthetic data

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Area of Science:

Neuroimaging
Biomedical Engineering
Computational Biology

Background:

Cerebral vasculature is crucial for brain function, but alterations are linked to neurological disorders.
No single imaging technique captures the entire human cerebral vascular network at all scales.
Current methods like Magnetic Resonance Imaging (MRI) and microscopy have limitations in resolution or coverage.

Purpose of the Study:

To introduce VesSynth, a novel framework for automatic, cross-modal vessel segmentation.
To enable consistent vascular mapping across different spatial scales and imaging modalities.
To facilitate comprehensive investigation of cerebrovascular organization in health and disease.

Main Methods:

Developed VesSynth, a flexible vessel segmentation framework.
Trained the framework entirely on synthetic data.
Validated performance across multiple imaging modalities (MR, optical, X-ray) and spatial resolutions.

Main Results:

VesSynth achieved state-of-the-art accuracy in vessel segmentation.
The framework demonstrated flexibility across diverse imaging modalities and scales.
Successful segmentation was achieved despite training solely on synthetic data.

Conclusions:

VesSynth provides a robust solution for cross-modal cerebral vessel segmentation.
Enables consistent and comprehensive mapping of the cerebral angioarchitecture.
Paves the way for advanced research into cerebrovascular function and pathology.