5 May 2004 GMIP: generalized maximum intensity projection
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Proceedings Volume 5367, Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display; (2004); doi: 10.1117/12.535594
Event: Medical Imaging 2004, 2004, San Diego, California, United States
Abstract
We describe a generalization of the ubiquitous Maximum Intensity Projection (MIP) method of volume visualization, the Generalized MIP (GMIP). It combines the classification step employed by volume and surface rendering with the maximum intensity projection of the MIP algorithm. We compare and contrast this new algorithm with traditional surface and volume rendering methods on a variety of data sets and demonstrate how useful visualization of structures often considered to be challenging to visualize can be efficiently created without explicit hard or fuzzy segmentation. Briefly, this new technique allows the user to arbitrarily specify a range of intensity values of interest which are then mapped to the highest intensities in the scene while other intensity values are assigned other, lower values. This allows the user to not only restrict the range of values that are actually projected but to modify them as well. Whereas the MIP method projects the maximum intensity value along a particular line, the GMIP uses a function to transform the intensity values first. The maximum of these transformed intensity values along a particular line is then projected in the GMIP. This new method is computationally fast and is a conceptually straightforward extension of the familiar MIP method but provides a great deal of new capabilities. For example, GMIP allows one to render soft tissue structures in CT and MRI and even low intensity structures such as airway in CT, and bone in MRI. We compare and contrast this new method with other well known volume visualization methods.
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George J. Grevera, Jayaram K. Udupa, "GMIP: generalized maximum intensity projection", Proc. SPIE 5367, Medical Imaging 2004: Visualization, Image-Guided Procedures, and Display, (5 May 2004); doi: 10.1117/12.535594; https://doi.org/10.1117/12.535594
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KEYWORDS
Volume rendering

Magnetic resonance imaging

Visualization

Angiography

Chest

Volume visualization

Bone

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