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#927Visualization in MIPAV
 
Description:
This class covers new visualization functionality added to the MIPAV application. MIPAV is a platform-independent image processing and visualization program that assists researchers with the 3D segmentation, registration, and the visualization of biomedical imaging modalities. Demonstrations in the class include MIPAV’s 3D volume and surface rendering tools as well as dual-volume display with blending and opacity control. Other functionality, such as segmentation and registration are quickly covered to provide context with the visualization of the datasets. MIPAV is designed to visualize many imaging modalities including but not limited to microscopy, MRI, CT, Xray, ultrasound, ophthalmology, and others.
 
Objectives:
Topics to be covered include using MIPAV in:
  • Volume renderering
    • Java3D texture based volume rendering
    • Jogl GPU based volume rendering
    • WildMagic library based volume rendering
  • Surface renderering
    • Surface extraction
    • Surface rendering
    • Surface viewer
  • Other topics Overview
    • Segmentation
      Registration
    • ITK Java wrapper via MIPAV
    • MIPAV simulation tools ( RFA, Endoscopy )
Who should attend:
NIH staff with an interest in image segmentation, quantification and visualization
 
Instructor(s):
Dr. Matthew McAuliffe, Division of Computational Bioscience, CIT
 
Time Required:
3 hours
 
Sections Available:
-- Concluded -- 927-09F October 21 9:00 - 12:00 Building 12A, Room B51
 
NOTE: Although this course has already taken place, we'll put you on a waiting list for the next available session.
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