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September 17, 2025BMC Veterinary ResearchOpen Access

Automated brain extraction for canine magnetic resonance images

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Authors

GLGloria D. LestaEngineering and Software System Solutions (United States)TDThomas M. DesernoMedizinische Hochschule HannoverSASamira AbaniUniversity of Veterinary Medicine Hannover, Foundation

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Implication

This study demonstrates a neural network approach for improving brain extraction in canine MRI images, indicating its effectiveness across various breeds.

Key Points

  • The model demonstrates robust performance in canine brain extraction, achieving high accuracy with Dice scores around 0.95.
  • Testing showed that the neural network maintained high Jaccard indices of up to 0.90 across diverse dog breeds and MRIs.
  • This automated approach utilized T1-weighted images from 68 dogs to enhance preprocessing for MRI imaging.
  • Normalization and augmentation techniques effectively mitigated performance degradation from anatomical variations in canines.

Cite This Study

Lesta et al. (2025) studied this question.

synapsesocial.com/papers/68d45e6231b076d99fa5eeb3https://doi.org/10.1186/s12917-025-05003-4
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