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Introduction

Stimulate is a GUI (Graphical User Interface) based fMRI (functional Magnetic Resonance Imaging) analysis software package. It offers a comprehensive set of fMRI analysis tools integrated into a single package that was designed for both convenient and flexible data processing. The user-friendly GUI allows the user to simply ``point and click" with the mouse to modify analysis or display variables. Activation maps can be calculated from the fMRI data and overlayed onto aMRI (anatomic MRI) image displays.

PARAMETER MAP GENERATION The primary processing step in fMRI is the generation of activation maps to identify areas of brain activity[1]. An activation map is a subset of the more general class of parameter maps. A parameter map is the resultant image of some temporal data reduction. The intensity value at each voxel of a parameter map is a parameterization of a feature of its time course. There are currently three analysis methods implemented for parameter map generation: 1) Student t-Test, 2) Cross-Correlation, and 3) Temporal Statistics.

Student t-Test: The student t-Test method for parameter map generation allows the user to specify multiple t-Tests consisting of multiple control and stimulation periods. There are two parameter options for the map: 1) confidence level, and 2) percent intensity change. The confidence level option simply gives the result of the specified student t-test. The percent intensity change option is used for activation maps. A voxel is considered active when it exceeds a confidence threshold for all t-tests specified. The percent intensity change is that of the average intensity of the stimulation periods versus the control periods.

Cross-Correlation: The cross-correlation method for parameter map generation uses a specified model for correlation against the intensity time course of each voxel in the functional image[2, 3]. Stimulate allows two ways to specify this model, one simply uses periods to specify a ``box-car" function and the other uses an ascii file of a time course. The ``box-car" model is specified by high and low periods corresponding to the experimental paradigm of control and stimulation periods, respectively. This model is not constrained to being a pure ``box-car," but allows for the sides to have a finite slope. Three types of parameter maps can be generated: 1) correlation value, 2) time shift or 3) percent intensity change. All three parameter types are reported for the time shift where the maximum correlation coefficient occurs.

Temporal Statistics: The temporal statistics method for parameter map generation simply calculates either the mean, standard deviation, minimum or maximum intensity value over a specified set of periods. The standard deviation map is useful for localization of vessels[4], while the other parameter types are useful for determination of background threshold values.

IMAGE DISPLAY There are three greyscale display modes: 1) stimulation, 2) anatomic, and 3) mask. In each display mode, the user selects the planar offset and number of images to display. An interactive LUT (Look-Up Table) tool is provided for dynamic contrast adjustments.

The stimulation mode displays the fMRI (e.g. BOLD or flow contrast) images used in parameter map generation. For the anatomic mode, an aMRI set of images, typically of higher spatial resolution and T1 weighted, can be displayed to facilitate landmark identification. The aMRI and fMRI images are automatically aligned if different resolutions were used during their acquisition. Images for the mask mode are generated through algorithms specified by image processing operations. There are over 20 operations available from the following categories: data, threshold, logical, arithmetic and morphologic.

Stimulate uses a psuedocolor overlay for superimposing parameter maps on top of the greyscale images. A color palette editor is provided to select or modify the parameter map overlays for both positive and negative activation. The overlay can be limited to those voxels whose activation value are within a floor (minimum) to ceiling (maximum) range. In addition, a minimum connected component count can be specified.

A movie tool enables the viewing of a mosaic of planar images in a cine loop. This is particularly effective in highlighting physiologic or subject motion artifacts. Individual mosaic movie frames can be saved in TIFF format for photographic quality hardcopy. The aMRI or fMRI image volume with imbedded activation maps can be saved in an isotropic BOB (Brick of Bytes) format for import into a volume rendering software package.

TIME COURSE PLOTTING / TEMPORAL FILTERING Plots of the intensity time course can be displayed for those voxels identified by a ROI (Region of Interest). ROIs can be drawn using either a point, rectangle, or polygon mouse tool. A zoom feature enables the accurate specification of the ROI down to the distinguishable individual voxel level. The user can choose to view the time courses of each individual ROI voxel or as an ensemble average.

The plot is displayed in a popup window which provides a copy of the ROI and image, plus a statistical summary of both the time course ensemble and the activation. The contents of the entire popup window can be spooled to a printer as a postscript file. In order to correct for physiologic noise or baseline drift, a temporal filtering module enables for the algorithmic signal processing of the time courses. Algorithm components includes Fourier filtering (low, high and band pass), arithmetic, statistical and mathematical morphology operations.

TALAIRACH COORDINATES Stimulate provides a method for the localization of activation in Talairach space[5]. This is accomplished by use of an overlay grid and mouse position display. The user must first calibrate the coordinates by loading a set of cardinal views (transaxial, sagittal, coronal) images, followed by identification of the anterior and posterior commissure, mid-plane and brain bounding box. From these specified points, a transformation is computed which converts the laboratory frame coordinates to Talairach space.


next up previous contents
Next: Preliminaries Up: User's Guide Software Previous: List of Tables