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Minimum intensity projection

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Schematic illustration of minimal intensity projection.

In scientific visualization, minimum intensity projection (MinIP) is a method for visualization of structures with low intensity in a specific volume.[1][2] A two-dimensional image of a selected volume (for example all images that make up a 10 mm slab) is generated where each pixel is represented by displaying the the lowest attenuation value in each voxel.

Example of a coronal MPR (slice thickness 10 mm) with minimal intensity projection. Air filled structures (especially bronchi) is enhanced.

MinIP is mainly used to diagnose lung diseases with computed tomography scans where the attenuation values are reduced (for example traction bronchectasis and emphysema)[3]. Another application is for assessing the bile tree and pancreatic duct which compared to the surrounding tissue is hypoattenuating (especially after intravenous contrast media administration)[4].

References

  1. ^ Dalrymple, Neal C.; Prasad, Srinivasa R.; Freckleton, Michael W.; Chintapalli, Kedar N. (September 2005). "Informatics in radiology (infoRAD): introduction to the language of three-dimensional imaging with multidetector CT". Radiographics: A Review Publication of the Radiological Society of North America, Inc. 25 (5): 1409–1428. doi:10.1148/rg.255055044. ISSN 1527-1323. PMID 16160120.
  2. ^ "Minimum-intensity projection of multidetector-row computed tomography for assessment of pulmonary hypertension in children with congenital heart disease". www.sciencedirect.com. ScienceDirect. Retrieved 2019-03-10.
  3. ^ Ghonge, Nitin P.; Chowdhury, Veena (September 2018). "Minimum-intensity projection images in high-resolution computed tomography lung: Technology update". Lung India: Official Organ of Indian Chest Society. 35 (5): 439–440. doi:10.4103/lungindia.lungindia_489_17. ISSN 0970-2113. PMC 6120307. PMID 30168468.{{cite journal}}: CS1 maint: unflagged free DOI (link)
  4. ^ Rao, Narayana D. L. V.; Gulati, Manpreet Singh; Paul, Shashi Bala; Pande, Girish Kumar; Sahni, Peush; Chattopadhyay, Tushar Kanti (February 2005). "Three-dimensional helical computed tomography cholangiography with minimum intensity projection in gallbladder carcinoma patients with obstructive jaundice: comparison with magnetic resonance cholangiography and percutaneous transhepatic cholangiography". Journal of Gastroenterology and Hepatology. 20 (2): 304–308. doi:10.1111/j.1440-1746.2004.03548.x. ISSN 0815-9319. PMID 15683436.

Further reading


Category:Object visualization