File:A-Volumetric-Method-for-Quantifying-Atherosclerosis-in-Mice-by-Using-MicroCT-Comparison-to-En-Face-pone.0018800.s006.ogv
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Size of this JPG preview of this OGG file: 602 × 599 pixels. Other resolutions: 241 × 240 pixels | 482 × 480 pixels | 696 × 693 pixels.
Original file (Ogg Theora video file, length 24 s, 696 × 693 pixels, 664 kbps, file size: 1.9 MB)
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[edit]DescriptionA-Volumetric-Method-for-Quantifying-Atherosclerosis-in-Mice-by-Using-MicroCT-Comparison-to-En-Face-pone.0018800.s006.ogv |
English: Intimal-medial plaque thickness movie of Ldlr-3KO aorta 6945 (Table 1): Seg3D (Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT) was used to create a label map associated with the regions of interest that assigned a specific value (1 for aorta, 2 for plaque and 0 for background). This label map was then used to produce a 3D rendering of the surface boundaries of the regions of interest: Aortic vessel in transparent gray and plaques in color spectrum (violet – thin plaque areas, to red – thick plaque areas). SCIRun (SCI Institute, Salt Lake City, UT) was used to generate the frames for the rotating 3D movies. The frames were then converted into QuickTime (Apple, Inc) movies for viewing. |
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Source | Movie S1 from Lloyd D, Helmering J, Kaufman S, Turk J, Silva M, Vasquez S, Weinstein D, Johnston B, Hale C, Véniant M (2011). "A Volumetric Method for Quantifying Atherosclerosis in Mice by Using MicroCT: Comparison to En Face". PLOS ONE. DOI:10.1371/journal.pone.0018800. PMID 21533112. PMC: 3078927. | ||
Author | Lloyd D, Helmering J, Kaufman S, Turk J, Silva M, Vasquez S, Weinstein D, Johnston B, Hale C, Véniant M | ||
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current | 10:32, 16 November 2012 | 24 s, 696 × 693 (1.9 MB) | Open Access Media Importer Bot (talk | contribs) | Automatically uploaded media file from Open Access source. Please report problems or suggestions here. |
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Usage terms | http://creativecommons.org/licenses/by/3.0/ |
Image title | Intimal-medial plaque thickness movie of Ldlr-3KO aorta 6945 (Table 1): Seg3D (Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, UT) was used to create a label map associated with the regions of interest that assigned a specific value (1 for aorta, 2 for plaque and 0 for background). This label map was then used to produce a 3D rendering of the surface boundaries of the regions of interest: Aortic vessel in transparent gray and plaques in color spectrum (violet ? thin plaque areas, to red ? thick plaque areas). SCIRun (SCI Institute, Salt Lake City, UT) was used to generate the frames for the rotating 3D movies. The frames were then converted into QuickTime (Apple, Inc) movies for viewing. |
Software used | Xiph.Org libtheora 1.1 20090822 (Thusnelda) |
Date and time of digitizing | 2011 |