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Related Experiment Video

Updated: Dec 18, 2025

A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates
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Sammba-MRI: A Library for Processing SmAll-MaMmal BrAin MRI Data in Python.

Marina Celestine1,2, Nachiket A Nadkarni1,2, Clément M Garin1,2

  • 1UMR9199 Laboratory of Neurodegenerative Diseases, Centre National de la Recherche Scientifique (CNRS), Fontenay-aux-Roses, France.

Frontiers in Neuroinformatics
|June 18, 2020
PubMed
Summary
This summary is machine-generated.

Sammba-MRI is a new Python package for analyzing small mammal brain MRI data. It offers flexible and efficient workflows for structural and functional brain imaging analysis in research.

Keywords:
MRIPythonprocessing pipelineregistrationsmall animal neuroimaging

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Area of Science:

  • Neuroimaging
  • Comparative neuroanatomy
  • Mammalian neuroscience

Background:

  • Small-mammal neuroimaging is crucial for understanding brain structure and function.
  • Existing software for analyzing small animal brain MRI data is less mature than human brain analysis tools.
  • There is a need for efficient and scriptable analysis workflows for small mammal neuroimaging.

Purpose of the Study:

  • To introduce Sammba-MRI, a novel Python package for small mammal brain MRI analysis.
  • To provide a flexible and efficient platform for multimodal processing of small animal brain data.
  • To enable scriptable analysis workflows from raw data conversion to advanced processing.

Main Methods:

  • Development of the Sammba-MRI Python package.
  • Integration of existing neuroimaging analysis methods.
  • Implementation of scriptable workflows for data conversion and multimodal processing.

Main Results:

  • Sammba-MRI facilitates flexible and efficient analysis of small mammal brain MRI data.
  • The package enables fluent, scriptable workflows for researchers.
  • It supports multimodal processing, enhancing the scope of neuroimaging studies.

Conclusions:

  • Sammba-MRI addresses the need for mature software in small mammal neuroimaging.
  • The package empowers researchers with efficient and versatile tools for brain analysis.
  • It promotes advancements in structural and functional brain research using small mammal models.