Difference between revisions of "2009 Summer Project Week 4D Imaging"
From NAMIC Wiki
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Implement a set of 3D Slicer modules to handle 4D images in 3D Slicer for perfusion analysis, cardiac, etc. | Implement a set of 3D Slicer modules to handle 4D images in 3D Slicer for perfusion analysis, cardiac, etc. | ||
including: | including: | ||
| − | * | + | *Manipulation |
| − | * | + | **Loading 4D volume |
| − | * | + | **Scroll time-line |
| − | * | + | **Edit frames |
| − | * | + | *Processing |
| + | **Image registration for motion compensation | ||
| + | *Analysis | ||
| + | **Perfusion analysis: fitting pharmacokinetic model | ||
</div> | </div> | ||
| Line 26: | Line 29: | ||
<h3>Approach, Plan</h3> | <h3>Approach, Plan</h3> | ||
See [[Slicer3:FourDAnalysis]] | See [[Slicer3:FourDAnalysis]] | ||
| − | + | *'''Loading 4D image.''' We will implement a feature that allows the user to load a series of 3D images from a specified director. The data can be either in DICOM or NRRD format. | |
| + | *'''Time line.''' We will develop a scroll-bar interface to scroll the frame in time-direction. It allows you to scroll the frame for foreground and background screens independently to compare two images at the different time points. | ||
| + | *'''Motion compensation.''' We will develop a method to compensate organ motion (respiratory motion, cardiac motion etc.) | ||
| + | *'''Intensity plot.''' We will implement an interface to plot temporal changes of intensities at specified regions. This feature is useful for analyzing dynamic contrast images. | ||
| + | *'''Model fitting.''' The module provides a python interface to analyze intensity curves obtained from the 4D images. The interface will be used to fit pharmacokinetic models to intensity curves to obtain perfusion parameters. | ||
</div> | </div> | ||
Revision as of 15:08, 20 June 2009
Home < 2009 Summer Project Week 4D Imaging
Key Investigators
- BWH: Junichi Tokuda, Wendy Plesniak, Nobuhiko Hata
- WFU:Craig A. Hamilton
Objective
Implement a set of 3D Slicer modules to handle 4D images in 3D Slicer for perfusion analysis, cardiac, etc. including:
- Manipulation
- Loading 4D volume
- Scroll time-line
- Edit frames
- Processing
- Image registration for motion compensation
- Analysis
- Perfusion analysis: fitting pharmacokinetic model
Approach, Plan
- Loading 4D image. We will implement a feature that allows the user to load a series of 3D images from a specified director. The data can be either in DICOM or NRRD format.
- Time line. We will develop a scroll-bar interface to scroll the frame in time-direction. It allows you to scroll the frame for foreground and background screens independently to compare two images at the different time points.
- Motion compensation. We will develop a method to compensate organ motion (respiratory motion, cardiac motion etc.)
- Intensity plot. We will implement an interface to plot temporal changes of intensities at specified regions. This feature is useful for analyzing dynamic contrast images.
- Model fitting. The module provides a python interface to analyze intensity curves obtained from the 4D images. The interface will be used to fit pharmacokinetic models to intensity curves to obtain perfusion parameters.
Progress
