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Updated: Jun 27, 2026

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BIANCA-MS: An optimized tool for automated multiple sclerosis lesion segmentation.

Giordano Gentile1,2, Mark Jenkinson3,4,5, Ludovica Griffanti3,6

  • 1Department of Medicine, Surgery and Neuroscience, University of Siena, Siena, Italy.

Human Brain Mapping
|August 2, 2023
PubMed
Summary
This summary is machine-generated.

BIANCA-MS offers robust and accurate automated brain white matter lesion segmentation for multiple sclerosis (MS). This novel tool generalizes across MRI protocols and data variability, outperforming existing methods.

Keywords:
MRIautomated lesion segmentationbrainmachine learningmultiple sclerosis

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Area of Science:

  • Medical Imaging
  • Neuroscience
  • Artificial Intelligence

Background:

  • Multiple sclerosis (MS) is characterized by white matter lesions.
  • Accurate segmentation of these lesions is crucial for diagnosis and monitoring.
  • Existing automated tools often struggle with variability in MRI protocols and manual segmentations.

Purpose of the Study:

  • To introduce BIANCA-MS, a novel tool for automated brain white matter lesion segmentation in MS.
  • To develop a harmonized algorithm setting that generalizes across diverse MRI acquisition protocols.
  • To implement a cleaning step for improved consistency between automated and manual segmentations.

Main Methods:

  • BIANCA-MS was developed based on the original BIANCA tool with added harmonization and cleaning steps.
  • The tool was tested on three datasets with varying MRI protocols.
  • Performance was evaluated by comparing BIANCA-MS to other tools and assessing segmentation overlap (DICE SI) and false positive/negative clusters (nFPC/nFNC).

Main Results:

  • BIANCA-MS demonstrated superior performance compared to other widely used tools across different image resolutions.
  • The tool provided comparable performance across various scanning protocols, modalities, and resolutions.
  • BIANCA-MS achieved robust results on a pooled dataset, with a DICE SI of 0.72 ± 0.25.

Conclusions:

  • BIANCA-MS is a robust and accurate tool for automated MS white matter lesion segmentation.
  • Its harmonized approach and cleaning step enhance generalization across different datasets and protocols.
  • BIANCA-MS reduces variability, improving the reliability of automated segmentation in clinical research.