Minimum intensity projection (MinIP)
- Is a data visualisation method that enables detection of low-density structures in a given volume.
- The algorithm uses all the data in a volume of interest to generate a single bidimensional image, in other words, it consists of projecting the voxel with the lowest attenuation value on every view throughout the volume onto a 2D image
- 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
Maximum Intensity Projection (MIP)
- Consists of projecting the voxel with the highest attenuation value on every view throughout the volume onto a 2D image
- Such an algorithm is rather simple
- For each XY coordinate, only the pixel with the highest Hounsfield number along the Z-axis is represented so that in a single bidimensional image all dense structures in a given volume are observed.
- For example, it is possible to find all the hyperdense structures in a volume, independently of their position
- This method tends to display bone and contrast material-filled structures preferentially, and other lower-attenuation structures are not well visualised
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