Difference between revisions of "2009 Summer Project Week 4D Imaging"
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<h3>Objective</h3> | <h3>Objective</h3> | ||
| − | + | Implement a set of 3D Slicer modules to handle 4D images in 3D Slicer for perfusion analysis, cardiac, etc. | |
| − | + | including: | |
| + | *'''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 15:06, 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:
- 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
