Difference between revisions of "MedImgAnalysis2011"
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| − | <meta name="title" content="Medical Image Analysis 2011"/> | + | <!-- <meta name="title" content="Medical Image Analysis 2011"/> --> |
{{h2|Medical Image Analysis 2011}} | {{h2|Medical Image Analysis 2011}} | ||
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{{h3|Tutorials}} | {{h3|Tutorials}} | ||
| − | * {{file|Mia2011_matlabTut.pdf | + | * {{file|Mia2011_matlabTut.pdf|Matlab tutorial|acroread}} |
| − | * [http://iacl.ece.jhu.edu/~john/OpenHistogram.htm Mipav - Opening images | + | * [http://iacl.ece.jhu.edu/~john/OpenHistogram.htm Mipav - Opening images/image histograms] |
| − | * [http://iacl.ece.jhu.edu/~john/WindowLevelTriplanar.htm Mipav - Contrast adjustment | + | ** Open an image in Mipav |
| + | ** View an image's histogram | ||
| + | ** Change the look up table (LUT) | ||
| + | ** Adjust contrast by modifying the transfer function. | ||
| + | * [http://iacl.ece.jhu.edu/~john/WindowLevelTriplanar.htm Mipav - Contrast adjustment/triplanar view] | ||
| + | ** Adjust contrast using window/level | ||
| + | ** Adjust contrast using "QuickLUT" | ||
| + | ** View images using the triplanar view | ||
| + | * [http://iacl.ece.jhu.edu/~john/TransformReg.htm Mipav Transformation/Registration] | ||
| + | ** Apply a linear transformation using known parameters | ||
| + | ** Run a linear registration algorithm | ||
| + | ** Visualize registration results by overlaying the target and result images. | ||
Mipav tutorials created using [http://www.debugmode.com/wink/ wink] ;) | Mipav tutorials created using [http://www.debugmode.com/wink/ wink] ;) | ||
{{h3|Internal}} | {{h3|Internal}} | ||
*[[IACL:MedImgAnalysis2011/Prep|Course Preparation]] | *[[IACL:MedImgAnalysis2011/Prep|Course Preparation]] | ||
Latest revision as of 01:05, 3 July 2022
Medical Image Analysis 2011
Overview
This course covers the principles and algorithms used in the processing and analysis of medical images. Topics include, interpolation, registration, enhancement, feature extraction, classification, segmentation, quantification, shape analysis, motion estimation, and visualization. Analysis of both anatomical and functional images will be studied and images from the most common medical imaging modalities will be used. Projects and assignments will provide students experience working with actual medical imaging data.
Prerequisites
Prerequisites: 520.432 or 580.472 (Medical Imaging Systems) or 550.310 or 550.311. Probability and Statistics).
Tutorials
- Matlab tutorial
- Mipav - Opening images/image histograms
- Open an image in Mipav
- View an image's histogram
- Change the look up table (LUT)
- Adjust contrast by modifying the transfer function.
- Mipav - Contrast adjustment/triplanar view
- Adjust contrast using window/level
- Adjust contrast using "QuickLUT"
- View images using the triplanar view
- Mipav Transformation/Registration
- Apply a linear transformation using known parameters
- Run a linear registration algorithm
- Visualize registration results by overlaying the target and result images.
Mipav tutorials created using wink ;)
