Difference between revisions of "Wiki help testing"
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**[[Cost functions used in MIPAV algorithms]] | **[[Cost functions used in MIPAV algorithms]] | ||
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Revision as of 19:52, 11 May 2012
Contents
Preface
Getting Started Quickly with MIPAV
- Introducing MIPAV
- Installing MIPAV
- Getting Started Quickly with MIPAV
- Starting MIPAV
- MIPAV main window
- Managing memory in MIPAV
- Allocating Memory in MIPAV
- Opening and loading image files
- MIPAV toolbars
- Displaying MIPAV Toolbars
- Displaying images
- Modifying image resolutions
MIPAV Basics
- 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
MIPAV Algorithms
- 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): Haralick Texture
- 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): De-noising BLS GSM
- Filters (Wavelet): Thresholding
- Fuzzy C-Means: Multispectral and Single Channel Algorithms
Glossary
Appendices
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
Frequently Asked Questions (FAQs)
- FAQ: Understanding Memory
- FAQ: Customizing MIPAV
- FAQ: Understanding Image Basics
- FAQ: Understanding Changes in MIPAV
- FAQ: Trimming VOIs
