CT Image Post Processing
CT image post-processing requires the modification of a 3D image volume, which in most cases consists of a stack of individual axial images.
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The application of imaging techniques to the original axial images of a CT scan in order to derive additional information or hide unwanted information that distracts from the clinical findings is called image post-processing. CT image post-processing requires the modification of a 3D image volume, which in most cases consists of a stack of individual axial images. There are many CT post-processing methods and techniques. The most commonly used techniques are maximum intensity projection (MIP), Minimum intensity projection (MinIP), volume rendering (VR), multiplanar reconstruction (MPR) or curved planar reconstruction. We will cover all of these CT image post-processing methods in this article and show examples of many of them through CT images, such as images of nodes within the Barety lodge revealed by a multiplanar reconstruction. This article is approved by the ASRT for 0.25 Category A CE Credits.
Discipline | Major content category & subcategories | CE Credits provided |
CT-2017 | Image Production | |
Image Formation | 0.25 | |
RA-2018 | Procedures | |
Abdominal Section | 0.25 | |
CT-2022 | Image Production | |
Image Formation | 0.25 | |
RA-2023 | Procedures | |
Abdominal Section | 0.25 |
Section 1: Image Post-Processing in Computed Tomography
- Rendering mode
- M.I.P. (maximum intensity projection)
- Min.I.P. (minimum intensity projection)
- Average
- Curved
- Stenosis measurement
- Endoprosthesis planning
- Volume rendering
- Volumetric reconstruction
- Endoscopy
- Image fusion
- Emphysema measurement
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