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2. CONN (functional connectivity toolbox) - Wikipedia

   en.wikipedia.org/wiki/CONN_(functional...

   CONN includes a user-friendly GUI to manage all aspects of functional connectivity analyses, [1] including preprocessing of functional and anatomical volumes, [2] elimination of subject-movement and physiological noise, [3] outlier scrubbing, [4] estimation of multiple connectivity and network measures, and population-level hypothesis testing.

3. FMRIB Software Library - Wikipedia

   en.wikipedia.org/wiki/FMRIB_Software_Library

   The FMRIB Software Library, abbreviated FSL, is a software library containing image analysis and statistical tools for functional, structural and diffusion MRI brain imaging data. FSL is available as both precompiled binaries and source code for Apple and PC computers. It is freely available for non-commercial use.

4. Quantitative susceptibility mapping - Wikipedia

   en.wikipedia.org/wiki/Quantitative...

   COSMOS assumes a model-free susceptibility distribution and keeps full fidelity to the measured data. This method has been validated extensively in in vitro, ex vivo and phantom experiments. Quantitative susceptibility maps obtained from in vivo human brain imaging also showed high degree of agreement with previous knowledge about brain anatomy ...

5. FreeSurfer - Wikipedia

   en.wikipedia.org/wiki/FreeSurfer

   FreeSurfer contains a set of programs with a common focus of analyzing magnetic resonance imaging (MRI) scans of brain tissue. It is an important tool in functional brain mapping and contains tools to conduct both volume based and surface based analysis. [ 4 ]

6. Susceptibility weighted imaging - Wikipedia

   en.wikipedia.org/wiki/Susceptibility_weighted...

   Susceptibility weighted imaging (SWI), originally called BOLD venographic imaging, is an MRI sequence that is exquisitely sensitive to venous blood, hemorrhage and iron storage. SWI uses a fully flow compensated, long echo, gradient recalled echo (GRE) pulse sequence to acquire images.

7. HARP (algorithm) - Wikipedia

   en.wikipedia.org/wiki/HARP_(algorithm)

   Harmonic phase (HARP) algorithm [1] is a medical image analysis technique capable of extracting and processing motion information from tagged magnetic resonance image (MRI) sequences. It was initially developed by N. F. Osman and J. L. Prince at the Image Analysis and Communications Laboratory at Johns Hopkins University. The method uses ...