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How is the minip algorithm similar to the mip algorithm?


Asked by Lauren Ingram on Nov 28, 2021 FAQ



The MinIP algorithm is almost identical to the MIP algorithm but, in the case of MinIP, for each XY coordinate, only the lowest Hounsfield value along the Z axis is represented. In this way, only the most hypodense structures of the volume are represented 1.
Consequently,
Minimum intensity projection (MinIP) The algorithm uses all the data in a volume of interest to generate a single bidimensional image, in other words, its consists of projecting the voxel with the lowest attenuation value on every view throughout the volume onto a 2D image 1,3.
Additionally, In the end it turned out that the very simple "average four pixels"-method gives the best results. Also more advanced methods are in theory mathematical more correct they tend to take a lot of sharpness out of the mipmaps.
In respect to this,
So if you are interested in identifying high contrast objects (lung tumor, stents etc..) better to have a MIP 4D CT Image Definitions MinIP (Minimum Intensity Projection image): projections reflect the lowest data (hypo-dense) value encountered along the viewing ray for each pixel of volumetric data.
Also Know,
4D CT Image Definitions MinIP (Minimum Intensity Projection image): projections reflect the lowest data (hypo-dense) value encountered along the viewing ray for each pixel of volumetric data. So if you are interested in identifying low contrast objects (liver, pancreas etc..) better to have a MinIP