Difference between revisions of "Wiki help testing"
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*[[Using MIPAV Algorithms]] | *[[Using MIPAV Algorithms]] | ||
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**[[DTI Color Display]] | **[[DTI Color Display]] | ||
**[[Edge Detection: Zero X Laplacian]] | **[[Edge Detection: Zero X Laplacian]] | ||
Revision as of 20:51, 8 March 2012
Contents
Preface
- Scope of this guide
- Who should use this guide
- Skills you need to perform tasks in MIPAV
- How this guide is organized
- Where to find more information
- Conventions used in this guide
Volume 1: Chapters
- Introducing MIPAV
- Installing MIPAV
- Getting Started Quickly with MIPAV
- Allocating Memory in MIPAV
- Opening and loading image files
- MIPAV toolbars
- Displaying MIPAV Toolbars
- Displaying images using the default view
- Using the right mouse button
- Selecting views
- Adjusting magnification
- Improving contrast, adding color, etc.
- Comparing images using alphablending
- Creating new images
- Delineating volumes of interest (VOIs)
- Annotating images with text
- Calculating VOI statistics
- Reviewing the statistics
- Generating graphs (intensity profiles)
- Saving and printing images
- Customizing MIPAV
- To show the splash screen
- Choosing the default file types to display or save
- Quitting MIPAV
- Understanding Image Basics
- Working with DICOM Images
- Visualizing Images
- Displaying images using the default view
- Displaying images using the animate view
- Displaying images using the cine (movie) view
- Displaying images using the lightbox view
- Displaying images using the link to another image view
- Displaying images using the triplanar view
- Displaying images using the triplanar-dual view
- Displaying images using the surface plotter view
- Displaying images using the surface renderer view
- Displaying images using the volume shear view
- Displaying images using the volume renderer view
- Segmenting Images Using Contours and Masks
- Analyzing Images
- Changing Image Datasets Using MIPAV Utilities
- Standard tasks provided through commands on the Utilities menu
- Recording utilities usage with the history feature
- 4 D tools
- Adding image margins
- Copying images using the Clone command
- Converting image datasets to different data types
- Correcting image spacing
- Cropping images
- Masking (filling) images
- Flipping images
- Image Calculator
- Image Math
- Inverting the image
- Matching images
- Maximum Intensity Projection
- Adding noise to images
- Pad
- Quantify Mask
- Replacing pixel/voxel value in images
- Rotating images
- Slice tools
- Inserting slices into image datasets
- Subtract VOI Background
- Standard tasks provided through commands on the Utilities menu
- Using Scripts (Macros) in MIPAV
- Developing Plugin Programs
- Technical Support
Volume 2: MIPAV Algorithms
- DTI Color Display
- Edge Detection: Zero X Laplacian
- Edge Detection: Zero X Non-Maximum Suppression
- Extract Brain: Extract Brain Surface (BET)
- Extract Brain: Extract Brain Surface (BSE)
- Face Anonymizer (BET)
- Fast Fourier Transformation (FFT)
- Filters (Spatial): Adaptive Noise Reduction
- Filters (Frequency)
- Filters (Spatial): Adaptive Path Smooth
- Filters (Spatial) Anisotropic Diffusion
- Filters (Spatial): Coherence-Enhancing Diffusion
- Filters (Spatial): Gaussian Blur
- Filters (Spatial): Gradient Magnitude
- Filters (Spatial) Laplacian
- Filters (Spatial) Local Normalization
- Filters (Spatial): Mean
- Filters (Spatial): Median
- Filters (Spatial): Mode
- Filters (Spatial): Nonlinear Noise Reduction
- Filters (Spatial): Nonmaximum Suppression
- Filters (Spatial): Regularized Isotropic (Nonlinear) Diffusion
- Filters (Spatial): Slice Averaging
- Filters (Spatial): Unsharp Mask
- Filters (Wavelet): Thresholding
- Fuzzy C-Means: Multispectral and Single Channel Algorithms
- Histogram Equalization: Regional Adaptive
- Histogram Equalization: Neighborhood Adaptive
- Histogram Matching
- 2D Histogram
- Histogram summary
- Manual 2D Series
- Extract Surface (Marching Cubes)
- Mask
- Microscopy Colocalization Orthogonal Regression
- Microscopy: Fluorescence Resonance Energy Transfer (FRET)-Acceptor
- Microscopy: FRAP (Fluorescence Recovery After Photobleaching)
- Microscopy: Blind Deconvolution
- Midsagittal line alignment
- Morphology
- Optimized automatic registration 3D
- Registration: Landmark-Least Squares
- Registration: Landmark-TPSpline
- Registration: Manual 2D Series
- Registration: Time Series Optimized Automatic Registration
- Reslice-Isotropic Voxels
- Shading Correction: Inhomogeneity N3 Correction
- Standard Deviation Threshold
- Subsampling images
- Threshold
- Transform to power of 2
