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Category:Resource:Advanced Neuroscience Imaging Research Laboratory Software Packages
Abbrev ANSIR Software  +
Comment ANSIR Laboratory, Department of Radiologic Sciences, WFU School of Medicine, Medical Center Blvd., Winston-Salem, NC 27157-1022 Telephone: (336) 716-0682 FAX: (336) 716-0555
CurationStatus curated  +
DefiningCitation  +
Definition The Advanced Neuroscience Imaging Research The Advanced Neuroscience Imaging Research (ANSIR) Laboratory is a research group based in the Department of Radiology of Wake Forest University School of Medicine. Software Packages that are currently available for download from the ANSIR Laboratory at Wake Forest University School of Medicine:<br /> * WFU Biological Parametric Mapping Toolbox: a toolbox for multimodal image analysis that is based on a voxel-wise use of the general linear model. The BPM toolbox incorporates information obtained from other modalities as regressors in a voxel-wise analysis, thereby permitting investigation of more sophisticated hypotheses. The BPM toolbox has been developed in Matlab with a user-friendly interface for performing analyses, including voxel-wise multimodal correlation, ANCOVA, and multiple regression. It has a high degree of integration with the SPM (statistical parametric mapping) software relying on it for visualization and statistical inference. Furthermore, statistical inference for a correlation field, rather than a widely used T-field, has been implemented in the correlation analysis for more accurate results. An example with in vivo data is presented, demonstrating the potential of the BPM methodology as a tool for multimodal image analysis. * WFU_PickAtlas: This software provides a method for generating ROI masks based on the Talairach Daemon database. The atlases include Brodmann area, Lobar, Hemisphere, Anatomic Label and Tissue Type. The atlases have been extended to the vertex in MNI space, and corrected for the precentral gyrus anomaly. Additional atlases can be added without much difficulty. * WFU_DICOMtk: The WFU_DICOMtk software package converts 3-D image volumes or 2-D images to DICOM format and optionally sends them to a PACS server. It may also serve as a DICOM image viewer. The scripts are written entirely in MATLAB. The images input for DICOM conversion may be either 3-D volumes readable by SPM or any 2-D images supported by MATLAB's imread function. * WFU_Pipeline: The WFU SPM5 Pipeline is a fully automated method for the processing of fMRI data using SPM. It is fully automated from the point of data acquisition at the MRI scanner. It incorporates tools for automated data transfer, archiving, real-time SPM5 batch script generation with distributed grid processing, automated error-recovery procedures, full data-provenance, email notifications, optional conversion back to DICOM (Digital Imaging and Communications in Medicine), and picture archiving and communications systems (PACS) insertion. The architecture allows for an infinite number of easily definable analyses that are fully automated from the point of acquisition. * Non-Stationary Cluster Extent Correction for SPM: This toolbox implements the random field theory (RFT) version of cluster size inference under non-stationarity. Non-stationarity, or non-uniform smoothness, is a problem in cluster size inference of brain imaging data. This is because, under non-stationarity, clusters tend to be large in smooth areas and small in rough areas within the image data. Non-stationarity is particularly problematic in VBM (voxel-based morphometry) data, and a use of cluster p-values has been discouraged in analyses of such data. A solution for this non-stationarity problem was proposed by Worsley et al, and has been implemented in the FMRISTAT package. Accounting for non-stationarity is important as it could lead to an erroneous outcome of a VBM analysis, as demonstrated in Moorhead et al. We have ported the function for non-stationary cluster size inference from FMRISTAT to SPM, so that it can interface with the SPM output. * Adaptive Staircase Procedure for E-Prime: This package provides the framework for implementing a self-adapting staircase procedure within the E-Prime programming environment. Although staircases have been in use for decades, the few open-source examples currently available require a moderate degree of programming proficiency to integrate into a new experimental procedure. Here, we provide an example developed within the E-Prime that can be easily copied or manipulated for almost any experimental paradigm. It is based on the simple 2-down/1-up method, with adjustable step sizes (if s\desired) and experimenter-definable parameters. * MoJoe<br /> * IDL_SPM<br /> * IDL_Dicom_Toolkit<br /> br /> * IDL_Dicom_Toolkit<br />
ExampleImage ANSIR.PNG +
Grant Category:R01EB004673   +, Category:1R03EB008670   +
Has default formThis property is a special property in this wiki. Resource  +
Has role Software toolkit +, Software resource +
Id nif-0000-30033  +
Is part of Wake Forest School of Medicine; North Carolina; USA +
Keywords Multimodal +, Image +, Analysis +, Biological +, Parametric +, Mapping +, Voxel +, Linear +, Model +, Regressor +, Software resource +, Matlab +, Visualization +, Statistical +, Inference +, In vivo +, Brain imaging +, Brain +
Label Resource:Advanced Neuroscience Imaging Research Laboratory Software Packages  +
Modification dateThis property is a special property in this wiki. 21 March 2015 02:04:38  +
ModifiedDate 21 March 2015  +
Page has default formThis property is a special property in this wiki. Resource  +
SuperCategory Resource  +
Supporting Agency National Institute of Biomedical Imaging and Bioengineering +
Synonym ANSIR Laboratory Software Packages  +, Advanced Neuroscience Imaging Research Software  +
Categories Resource
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