Tag Results

CTF - MEG Event Averager (1)

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This workflow applies parametrs in a user-specified processing.cfg file to a set of MEG data files. The datasets must be in CTF-format, such as those produced by Omega275 systems. The processing.cfg file and datasets are selected at the initialization of the workflow.  processing.cfg can be created by the data inspection tool DataEditor, and contains desired filter settings etc. This file can also be edited easily with a text editor to tweak settings. The workflow identifies all the trig...

Created: 2010-07-06 | Last updated: 2010-07-06

Credits: Lakelander

CTF - MEG SAM Analysis (1)

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Uses a user-defined text protocol file containing SAM analysis parameters and applies them to a set of MEG datasets. The dataset must be in CTF MEG system format.

Created: 2010-07-15 | Last updated: 2010-07-15

Credits: Lakelander

Sub-Volume Probabilistic Atlas Segmentaito... (1)

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This workflow takes a raw unskull-stripped volume and a brain mask of the volume to create a tissue segmented image.This workflow is based on a novel genetic algorithm based finite mixture model and a local 3D Markov random field segmentation algorithm based on iterative conditional modes algorithm. Problem addressed by this workflow   This workflow performs tissue segmentation on the brain volumes using genetic algorithm based finite mixture model (GAMIXTURE), local 3D Markov ...

Created: 2011-04-06 | Last updated: 2011-04-06

Credits: Pipeline

Local Shape Analysis (LSA) Workflow (1)

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This workflow takes raw un-skull-stripped volumes in 2 groups/populations and an ROI index to generate a color-coded shape object using the per-vertex local p-values of some local shape-measure (e.g., displacement, atrophy, Jacobian, curvature, etc). It also outputs the p-values color-map superimposed on the mean shape. Problem addressed by this workflow   Identifying local group differences between 2 populations in one specific ROI. This workflow also generates mean-shape DX mo...

Created: 2011-04-06 | Last updated: 2011-04-06

Credits: Pipeline

Automated Cortical Surface Extraction Work... (1)

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This workflow takes raw un-skull-stripped volumes and generates a cortical surface model using FreeSurfer? and CCB tools. Problem addressed by this workflow There are many ways to generate cortical surface models based on MRI data. Here is one of them. Eventually, there will be a new Learning-based Cortical Surface Modeling Pipeline, as well.   Input is Raw MRI T1-weighted volume CCB/FreeSurfer Cortical Surface extractor that the SIG-Shape team developed and we validated ...

Created: 2011-04-06 | Last updated: 2011-07-14

Credits: Pipeline

Minimum Deformation Template (MDT) Atlasin... (1)

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This pipeline present the redesigned automated workflow for constructing the Minimum Distance Template (MDT) atlas for a given population, based on one specific image modality (e.g., sMRI). There will be two specific validation examples based on 100+ ICBM subjects: Quantitative: The ICBM data will be registered to the MDT, NRU and ICBM 462 atlases and mean displacement stats across all subjects will be reported for each voxel. The distributions of these mean displacement magnitud...

Created: 2011-04-06 | Last updated: 2011-07-14

Credits: Pipeline

Automated Brain Tissue Extraction and Volu... (1)

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This workflow takes raw un-skull-stripped volumes and generates tables of the volumes for all 56 ROIs currently automatically extracted using LONI BrainParser.   Problem addressed by this workflow Computing and tabulating the Brain Volumes of 56 cortical and sub-cortical ROIs. This workflow also generates DX models of all 56 ROIs which can be viewed as a scene in ShapeViewer.   Detailed Workflow Usage & Specifications Input: Any volumetric file format can be use...

Created: 2011-04-06 | Last updated: 2011-07-14

Credits: Pipeline

Direct Hippocampal Mapping (1)

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Overview - Direct Hippo Mapping The workflow takes volumetric masks of hippocampi from two groups, generates surfaces from each mask, and maps these surfaces to a hippocampal atlas. It also computes thickness and displacement feature on the surfaces and evaluates the statistical significance of the differences between the two groups with respect to these measurements.   Problem addressed by this workflow Automatically establishing correspondences between points on hippocampal ...

Created: 2011-04-06 | Last updated: 2011-04-06

Credits: Pipeline

BATWING (1)

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Batwing reads in multi-locus haplotype data, and model and prior distri- bution specifications, and uses a Markov chain Monte Carlo (MCMC) method based on coalescent theory to generate approximate random samples from the posterior distributions of parameters such as mutation rates, effective population sizes and growth rates, and times of population splitting events. It also generates approximate posterior samples of the entire genealogical tree underly- ing the sample, including the tree hei...

Created: 2011-08-25 | Last updated: 2011-08-25

Credits: Pipeline