Workflows

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

Mouse Brain Image Analysis: General Linear... (1)

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Overview - General Linear Model The workflow runs voxelwise statistics on two populations of mice. Each of the populations has been scanned prior to injection of a label and at four subsequent timepoints.   Problem addressed by this workflow The workflow addresses several problems. First of all, it performs co-registration between the subjects from the two populations and at different timepoints. It then scales all images. Finally, it runs a multiple linear regression module t...

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

Credits: Pipeline

First Level within subject fMRI processing (1)

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Overview - fMRI-FEAT workflow This is a simple with-in subject fMRI analysis workflow. It takes 3D fMRI images and structural images of a subject and performs FSLmerge, BET (if the data is not already skull stripped) and first level FEAT processing.   Problem addressed by this workflow FSLMerge, BET and FEAT first level analysis can be performed using this workflow on one or more subjects that require the same processing. The design FSF file is generate using the FSL FEAT inte...

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

Credits: Pipeline

Image Registration Meta Algorithm (IRMA) (1)

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Overview - Workflow-Title In this workflow different registration algorithms are applied to the same image and the image that is best registered to the template is chosen as the output top candidate.   Problem addressed by this workflow In this workflow various registration algorithm is performed on the same subject. The algorithm that gives the best result is chosen. This might be different for different input images. This workflow is robust and picks the best-registered imag...

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

Credits: Pipeline

BrainParser: Automated Volume Calculation ... (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: 2011-04-06

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

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 Image Registration (1)

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This is a simple registration workflow. The structural MRI images are aligned to a standard brain image by using AIR registration tools. To build this workflow follow the steps mentioned on the following pages. URL: http://www.loni.ucla.edu/Software/AIR Try this Pipeline Workflow Now!

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

Credits: Pipeline

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

Global Shape Analysis Workflow (1)

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This workflow takes raw un-skull-stripped volumes in multiple groups/populations, or a Study-Design, and generates a scene file containing the models of the ROIs where the groups are different. It also reports the global 56 regional p-values. Problem addressed by this workflow   Identifying the group differences between 2 populations in the global shapes 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 Sh...

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

Credits: Pipeline