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In addition to the standard T2W MRCP images, we have found that using the minimum intensity projection (Min IP) post-processing algorithm to create projectional images of the bile ducts from the 2 min delayed post-gadolinium 3D SGRE images is helpful for additional evaluation of the biliary tree.
bCoronal minimum intensity projection shows leakage of air through a tear.
Axial chest CT minimum intensity projection (minIP) image (b) demonstrates discontinuity of the walls of a bulla (solid black arrow) compatible with a ruptured bulla.
DWI (a), 3D TOF (b), minimum intensity projection (c), and multiplanar reconstruction (d) of the SWAN sequence in the axial plane.
Minimum intensity projection (MinIP) is the opposite of MaxIP, whereby structures with the lowest attenuation values are extracted to demonstrate the central airway and the branching pattern of the tracheobronchial tree.
Multiplanar reconstruction (MPR), maximum intensity projections (MIP), minimum intensity projection (minIP), volume rendering and virtual bronchoscopy help to optimally demonstrate the defect as well as provide a road map for surgical intervention.
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An MDCT study of the airways needs axial thin sections (ideally 1 mm sections with 80% overlap), multiplanar reformations, minimum intensity projections, volume-rendering images, virtual bronchoscopy images, and sometimes dynamic studies with inspiration and espiration acquisition.
The images were acquired as virtual tissues (VTs; 6 z planes, 5-µm steps) and are presented as minimum intensity projections.
The final SWI consists of four sets of images: magnitude images, filtered phase images, minimum intensity projections images and the final SWI images.
Minimum intensity projections were obtained from stacks of pictures acquired in 5 μm steps through the thickness of each individual 100 μm thick sections (n = 6 animals per group).
This micro-computed tomography (MCT) study investigated the utility of thin-slab minimum-intensity projection (TS-MinIP) technique as an adjunct to 3-dimensional (3D) modeling for in-depth morphology study.
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