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Real-Time Super Resolution Contextual Close-up of Clinical Volumetric Data

Torin Taerum

Torin Taerum11, Mario Costa Sousa, Mario Costa Sousa11, , Faramarz SamavatiFaramarz Samavati11, Sonny Chan, Sonny Chan1,41,4, Ross Mitchell, Ross Mitchell1,2,3,41,2,3,4 Departments of

Departments of 11Computer ScienceComputer Science, , 22Radiology, Radiology, 33Clinical Neurosciences,Clinical Neurosciences, University of Calgary

University of Calgary

4

4Seaman Family MR Research CentreSeaman Family MR Research Centre

(Advanced Medical Image Processing and Analysis Lab (Advanced Medical Image Processing and Analysis Lab ))

Eighth Annual Eurographics/IEEE

Eighth Annual Eurographics/IEEE--VGTC Symposium on Visualization (EuroVis 2006)VGTC Symposium on Visualization (EuroVis 2006)

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Results using our System

Generated on an AMD Athlon 2500 with 1.25 GB of RAM and using OpenGL/ATI Radeon 9550 graphics card

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Figure 3 in the paper

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Low-resolution High-resolution

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Lens Vessels ROI: vessels

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ROI sub-volume

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Super-resolution ROI

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Video

• File “taerum-eurovis-06-video”

• Note that video play is not a precise representation of the actual fps

performance during capture

• The video plays at 30 fps while system performance ranged from 3-15 fps

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Figure 3 in the paper No subdivision Order 3 subdivision Order 4 subdivision

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Linear

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Cubic

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Shaded

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Silhouette-enhanced

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3D color florescent confocal microscopy image of kidney cells, rendered with maximum luminosity projection.

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Research and Development Support

• Natural Sciences and Engineering Research Council of Canada

• iCORE

• Multiple Sclerosis Society of Canada

• Alberta Heritage Foundation for Medical Research.

• Calgary Scientific Inc.

www.calgaryscientific.com

Referanser

Last ned nå ( PDF - 27 sider - 2.78 MB )

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