BrainSlicer

版本 1.1 (96.4 MB) 作者: Daniele Mascali
Visualize and print volumetric brain data
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更新时间 2021/10/4
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BrainSlicer

BrainSlicer is a MATLAB-based visualization tool for volumetric brain data. Its main purpose is to produce publication-level figures.

BrainSlicer main functionalities include:

  • possibility of overlaying multiple images with tunable opacity.
  • thresholding and clusterization of each layer
  • visualize colorbar for each desired layer
  • handy visualization of p-value maps as (1-p)
  • ~ 100 colormaps available (including FSL and brain colours maps)

BrainSlicer is composed of three main programs:

  • slicer.m - the main tool, visualizes and prints nifti images.
  • slicerCollage.m - combines several images produced by slicer.m in a single figure.
  • colormaps.m - shows all the available colormaps and their code for ease of selection.

REQUIREMENTS

BrainSlicer requires:

  • SPM
  • MATLAB version >= R2014b

EXAMPLES

SlicerDemo.m demostrates the major functionalities of the toolbox using common usage examples.

  • Figure showing a t-map and 1-p-map:  Example 2 
  • Figure showing the 10 networks from Smith et al. 2009 (PNAS):  Example 3 
  • Figure showing the 7 networks from Yeo et al. 2011 (J Neurophysiol) parcellated according to Schaefer et al 2018 (Cortex):  Example 3 

引用格式

Daniele Mascali (2025). BrainSlicer (https://github.com/dmascali/BrainSlicer/releases/tag/1.1), GitHub. 检索时间: .

MATLAB 版本兼容性
创建方式 R2020a
与 R2014b 及更高版本兼容
平台兼容性
Windows macOS Linux
类别
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MNI

examples/data

subfunc

examples

版本 已发布 发行说明
1.1

See release notes for this release on GitHub: https://github.com/dmascali/BrainSlicer/releases/tag/1.1
1.0

要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。
要查看或报告此来自 GitHub 的附加功能中的问题，请访问其 GitHub 仓库。