| 词条 | Minimum intensity projection |
| 释义 |
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 lowest attenuation value in each voxel. 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] See also
References1. ^{{cite journal |last1=Dalrymple |first1=Neal C. |last2=Prasad |first2=Srinivasa R. |last3=Freckleton |first3=Michael W. |last4=Chintapalli |first4=Kedar N. |title=Introduction to the Language of Three-dimensional Imaging with Multidetector CT |journal=RadioGraphics |date=September 2005 |volume=25 |issue=5 |pages=1409–28 |doi=10.1148/rg.255055044 |pmid=16160120 }} 2. ^{{cite journal |last1=Hayabuchi |first1=Yasunobu |last2=Inoue |first2=Miki |last3=Watanabe |first3=Noriko |last4=Sakata |first4=Miho |last5=Nabo |first5=Manal Mohamed Helmy |last6=Kagami |first6=Shoji |title=Minimum-intensity projection of multidetector-row computed tomography for assessment of pulmonary hypertension in children with congenital heart disease |journal=International Journal of Cardiology |date=June 2011 |volume=149 |issue=2 |pages=192–198 |doi=10.1016/j.ijcard.2010.01.008 |pmid=20144487 }} 3. ^{{cite journal |last1=Ghonge |first1=Nitin P |last2=Chowdhury |first2=Veena |title=Minimum-intensity projection images in high-resolution computed tomography lung: Technology update |journal=Lung India |date=2018 |volume=35 |issue=5 |pages=439–440 |doi=10.4103/lungindia.lungindia_489_17 |pmid=30168468 |pmc=6120307 }} 4. ^{{cite journal |last1=Rao |first1=Narayana D. L. V. |last2=Gulati |first2=Manpreet Singh |last3=Paul |first3=Shashi Bala |last4=Pande |first4=Girish Kumar |last5=Sahni |first5=Peush |last6=Chattopadhyay |first6=Tushar Kanti |title=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=Journal of Gastroenterology and Hepatology |date=February 2005 |volume=20 |issue=2 |pages=304–8 |doi=10.1111/j.1440-1746.2004.03548.x |pmid=15683436 }} Further reading
1 : Object visualization |
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