Difference between revisions of "2009 Summer Project Week 4D Imaging"

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<h3>Objective</h3>
 
<h3>Objective</h3>
Create a mechanism to handle 4D images in 3D Slicer for perfusion analysis, cardiac, etc.  
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Implement a set of 3D Slicer modules to handle 4D images in 3D Slicer for perfusion analysis, cardiac, etc.
 
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including:
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*'''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.
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*'''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.
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*'''Motion compensation.''' We will develop a method to compensate organ motion (respiratory motion, cardiac motion etc.)
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*'''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.
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*'''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.
  
 
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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.

Approach, Plan

See Slicer3:FourDAnalysis


Progress


References