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From MIPAV
Revision as of 16:42, 1 February 2012 by Angelfish100 (Talk)
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
- Understanding Image Basics
- Working with DICOM Images
- Connecting to SRB BIRN
- Visualizing Images
- Segmenting Images Using Contours and Masks
- Analyzing Images
- Changing Image Datasets Using MIPAV Utilities
- Using Scripts (Macros) in MIPAV
- Developing Plugin Programs
Volume 2: MIPAV Algorithms
- Understanding MIPAV capabilities
- Using MIPAV Algorithms
- B-Spline Automatic Registration
- 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 (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
Optimized automatic registration 3D