Wiki help testing

Preface

• Scope of this guide

Volume 1: Chapters

1. Introducing MIPAV
   • Understanding MIPAV capabilities
   • Developing new tools using the API
2. Installing MIPAV
3. 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
4. Understanding Image Basics
5. Working with DICOM Images
   • Browsing DICOM images
   • Sending and retrieving DICOM images
   • Testing the connection
   • Posing queries and retrieving images
   • Receiving and sending image files
   • Displaying and editing DICOM tag information
   • Protecting patient privacy using Anonymize
   • Converting non-DICOM image files to DICOM format
6. Visualizing Images
   • Displaying images using the default view
     • Magnifying and minifying images
     • Viewing two images together
     • Changing image brightness and contrast using LUTs
   • 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
7. Segmenting Images Using Contours and Masks
   • Using contours to segment a VOI
     • Modifying Contours
   • Generating masks
     • Creating a mask using the Paint Grow Segmentation method
   • Converting VOI contours to masks
   • Converting masks to VOI contours and paints
   • Advanced Paint and Power Paint tools
8. Analyzing Images
   • Calculating statistics for contoured VOIs
   • Calculating statistics on VOI groups
   • Calculating the volume of masks
   • Generating graphs
     • Customizing the appearance of graphs - Modify graph dialog box
     • Changing the legends for functions
9. 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 Calculator: OR
     • Image Calculator: Advanced image calculator options
   • 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
10. Using Scripts (Macros) in MIPAV
    • Developing and using scripts
      • Setting up scripting
      • Planning scripts
      • Recording scripts
      • Running scripts
      • Editing and deleting scripts
      • Examples
    • Combining scripts and other programs
      • Using the mipav command
      • Using Shell scripting to lessen typing
11. Developing Plugin Programs
    • Understanding plug-in programs
    • Using the API documentation
    • Developing plug-in programs
    • Creating a self-contained plug-in frame
    • Examples of MIPAV plug-ins
      • Plug-in CT_MD, a typical plug-in program
        • PlugInAlgorithmCT_MD.java
        • Plug-in CT_MD.java
12. Technical Support

Volume 2: MIPAV Algorithms

• Understanding MIPAV capabilities
  • Understanding MIPAV capabilities
  • Developing new tools using the API
• Using MIPAV Algorithms
  • B-Spline Automatic Registration
    • Detect folding
    • User Dialogs in MIPAV

• • 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

Glossary

Glossary for MIPAV Help

Appendices

1. References
2. DICOM Conformance
3. Supported Formats
   • Other formats supported by MIPAV
   • Understanding MIPAV-related files
   • Matrix file
   • MIPAV Surface file
4. Technical Information
5. PlugIn Algorithm Median

• PlugIn Algorithm Median (con't, part 2)
• PlugIn Algorithm Median (con't, part 3)
• PlugIn Algorithm Median (con't, part 4)

Talairach

• Introduction
• Installing
• Mapping Brains in Talairach Space
  • Task 1, Performing a semimanual transformation on datasets to the Talairach coordinate system
  • Task 2, Applying Talairach VOIs
  • Task 3, Segmenting the original image
  • Task 4, Transforming Talairach image and Talairach VOIs-1 to the original image
  • Task 5, Copying Talairach VOIs to segmented images
  • Task 6, Calculating statistics on VOIs
  • Viewing the Talairach grid on Talairach images