Difference between revisions of "Maximum Intensity Projection"
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− | |+ <div style="font-style: normal; margin-bottom: 3pt; margin-left: 0pt; margin-right: 0pt; margin-top: 9pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline">'''<font color="#000000"> Figure | + | |+ <div style="font-style: normal; margin-bottom: 3pt; margin-left: 0pt; margin-right: 0pt; margin-top: 9pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline">'''<font color="#000000"> Figure 43. The Maximum Intensity Projection dialog box. The input fields are initially populated with the maximum and minimum intensities of the image<br /></font>'''</div> |
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− | The algorithm begins to run, and a pop-up window appears with the status. The following message appears: <span style="font-weight: normal; text-decoration: none; text-transform: none; vertical-align: baseline">''<font color="#000000">Computing Maximum Intensity Projection</font>''</span>. When the algorithm has finished to run, the pop-up window closes and the three 2D images appear in three different windows. See | + | The algorithm begins to run, and a pop-up window appears with the status. The following message appears: <span style="font-weight: normal; text-decoration: none; text-transform: none; vertical-align: baseline">''<font color="#000000">Computing Maximum Intensity Projection</font>''</span>. When the algorithm has finished to run, the pop-up window closes and the three 2D images appear in three different windows. See Figure 44. |
<div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 0pt; margin-right: 0pt; margin-top: 0pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font color="#000000"> | <div style="font-style: normal; font-weight: normal; margin-bottom: 0pt; margin-left: 0pt; margin-right: 0pt; margin-top: 0pt; text-align: left; text-decoration: none; text-indent: 0pt; text-transform: none; vertical-align: baseline"><font color="#000000"> | ||
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[[Adding noise to images]] | [[Adding noise to images]] |
Revision as of 18:43, 15 February 2012
Contents
Maximum Intensity Projection
The method provides a very good understanding of the structures defined by high signal intensities. It also helps to avoid the problem with occluding structures, which can block visualization of thin inner parts.
Background
A MIP algorithm accepts a single grayscale 3D image and generates three 2D images representing the maximum intensities in x, y, and z directions.
Let I be an input grayscale 3D image of size (m*n* l). Let X, Y, and Z be the output 2D images representing the maximum intensities in x, y, and z directions.
X is a 2D image of size (y* z) formed by viewing along the x-axis and selecting the highest intensities in the y-z plane. Y image is of size (x*z) formed by viewing along the y-axis and selecting highest intensities in the x-z plane. Similarly, Z image is formed by viewing along the Z axis and selecting highest intensities in the x-y plane and is of size (x * y).
Image Types
This algorithm works with 3D grayscale images (all image types except complex). By default, the result images are of type float.
Special Notes
The origin of the result images is at the top left corner and the original resolutions of the 3D image in all directions are preserved.
Applying the Maximum Intensity Projection
To run the method,
The algorithm begins to run, and a pop-up window appears with the status. The following message appears: Computing Maximum Intensity Projection. When the algorithm has finished to run, the pop-up window closes and the three 2D images appear in three different windows. See Figure 44.