Rule-based semi-automated method to segment black hole multiple sclerosis lesions on post-gadolinium 2D T1-weighted brain images - Summary - MDSpire

Rule-based semi-automated method to segment black hole multiple sclerosis lesions on post-gadolinium 2D T1-weighted brain images

  • By

  • Rozemarijn M. Mattiesing

  • Fleur A. Groeneveld

  • Iman Brouwer

  • Ronald A. van Schijndel

  • Frederik Barkhof

  • Henk J. M. M. Mutsaerts

  • Hugo Vrenken

  • May 2, 2026

  • 0 min

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Objective:

Emphasize the clinical significance of detecting black hole lesions.

Key Findings:
  • Include specific metrics or results to support claims of effectiveness.
Interpretation:

Elaborate on how the tool enhances clinical practice.

Limitations:
  • Suggest potential solutions or future directions to address limitations.
Conclusion:

Reiterate the importance of findings in the context of MS management.

Original Source(s)

Rule-based semi-automated method to segment black hole multiple sclerosis lesions on post-gadolinium 2D T1-weighted brain images

  • by Rozemarijn M. Mattiesing, Fleur A. Groeneveld, Iman Brouwer, Ronald A. van Schijndel, Frederik Barkhof, Henk J. M. M. Mutsaerts, Hugo Vrenken

  • May 2, 2026

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