GitHub - yeatmanlab/AFQ: Automated Fiber Quantification

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 638 Commits
3Dmesh		3Dmesh
SIPS		SIPS
SLF123		SLF123
aslant		aslant
babyAFQ		babyAFQ
cerebellarPeduncles		cerebellarPeduncles
cp-prob_segmentation		cp-prob_segmentation
data		data
functions		functions
gui		gui
templates		templates
test		test
tutorials		tutorials
utilities		utilities
vof		vof
.gitignore		.gitignore
AFQ_Poster_SfN_2012.pdf		AFQ_Poster_SfN_2012.pdf
README.txt		README.txt
TODO.txt		TODO.txt
Yeatman_PLoSONE_2012.pdf		Yeatman_PLoSONE_2012.pdf

Repository files navigation

AFQ version 1.2

==============================
Automated Fiber Quantification
==============================

AFQ was designed to generate Tract Profiles of tissue properties for major fiber tracts in healthy and diseased brains. Online documentation can be found at: 
https://github.com/yeatmanlab/AFQ/wiki.
We have now released pyAFQ and all current development is occuring on the Python version: https://github.com/yeatmanlab/pyAFQ
For help and updates on MATLAB join the AFQ mailing list in google groups:
https://groups.google.com/forum/?fromgroups#!forum/automated-fiber-quantification-afq

AFQ has been tested for MATLAB r2009b through MATLAB r2021. It requires functions from the MATLAB stats toolbox, vistasoft and SPM.

If you use this software please cite the relevant manuscripts describing the work:

(v0.1)  —  Yeatman J.D., Dougherty R.F., Myall N.J., Wandell B.A., Feldman H.M. (2012). Tract Profiles of White Matter Properties: Automating Fiber-Tract Quantification. PLoS One.

(v1.1)  —  Yeatman J.D., Wandell B.A., Mezer A. (2014). Lifespan Maturation and Degeneration of Human Brain White Matter. Nature Communications.

(v1.2)  —  Yeatman J.D., Weiner K.S., Pestilli F., Rokem A., Mezer A., Wandell B.A. (2014). The Vertical Occipital Fasciculus: A Century of Controversy Resolved By In Vivo Measurements. PNAS.

pyAFQ is described in:
Kruper J., Yeatman J.D., Richie-Halford A., Bloom D., Grotheer M., Caffarra S., Kiar G., Karipidis I.I., Roy, E., Chandio B.Q., Garyfallidis E., Rokem A. (2021). Evaluating the reliability of human brain white matter tractometry. Aperture
https://www.humanbrainmapping.org/files/Aperture/Accepted%20Works%20PDF/Kruper_Evaluating_the_Reliability_of_Human.pdf

    Copyright (C) 2012   Jason D. Yeatman   jyeatman@stanford.edu

This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License for more details http://www.gnu.org/licenses/