The Application of Taguchi Method in Evaluating 3D Image Quality

2018 ◽  
pp. 107-109
Author(s):  
Po-Hung Lin ◽  
Hui-Hsuan Hsu
Keyword(s):  
Image Quality ◽  
Taguchi Method ◽  
3D Image

Ultralow Dose CT Imaging for Navigated Skull Base Surgery Using ASIR and MBIR-2D and 3D Image Quality

2014 ◽  
Vol 75 (S 02) ◽  
Author(s):  
Gerlig Widmann ◽  
P. Schullian ◽  
R. Hoermann ◽  
E. Gassner ◽  
H. Riechelmann ◽  
...  
Keyword(s):  
Image Quality ◽  
Skull Base ◽  
Skull Base Surgery ◽  
Ct Imaging ◽  
3D Image ◽  
Ultralow Dose ◽  
2D And 3D

Transthoracic examination

2020 ◽  
pp. 71-126
Keyword(s):  
Image Quality ◽  
Inferior Vena Cava ◽  
Right Ventricle ◽  
Abdominal Aorta ◽  
Image Acquisition ◽  
Vena Cava ◽  
Short Axis ◽  
3D Image ◽  
Chamber View ◽  
Axis View

This chapter covers all aspects of transthoracic examination, including patient information, preparing machine and probe, probe handling and image quality, 2D image acquisition, 3D image acquisition, multiplane image acquisition, data acquisition, parasternal long axis view, parasternal right ventricle inflow view, parasternal right ventricle outflow view, parasternal short axis (aortic) view, parasternal short axis (mitral) view, parasternal short axis (ventricle) views, parasternal 3D views, apical 4-chamber view, apical 5-chamber view, apical 2-chamber view, apical 3-chamber view, apical 3D views, subcostal views, inferior vena cava view, abdominal aorta view, suprasternal view, right parasternal view, and standard examination.

Effect of the compression of the depth map image on depth-fused 3D image quality

2003 ◽  
Author(s):  
Kazutake Uehira ◽  
Keiichiro Kono ◽  
Kazumi Komiya ◽  
Shiro Suyama ◽  
Hideaki Takada
Keyword(s):  
Image Quality ◽  
Depth Map ◽  
3D Image

3D image quality index using SDP-based binocular perception model

IVMSP 2013 ◽  
2013 ◽  
Author(s):  
Hyunsuk Ko ◽  
Chang-Su Kim ◽  
Seo Young Choi ◽  
C.-C. Jay Kuo
Keyword(s):  
Image Quality ◽  
Quality Index ◽  
3D Image ◽  
Perception Model ◽  
Image Quality Index ◽  
Binocular Perception

Application of Stochastic Point-Based Rendering to Laser-Scanned Point Clouds of Various Cultural Heritage Objects

2018 ◽  
Vol 12 (3) ◽  
pp. 348-355 ◽  
Author(s):  
Kyoko Hasegawa ◽  
Liang Li ◽  
Naoya Okamoto ◽  
Shu Yanai ◽  
Hiroshi Yamaguchi ◽  
...  
Keyword(s):  
Image Quality ◽  
Cultural Heritage ◽  
Large Scale ◽  
Nearest Neighbor ◽  
Point Clouds ◽  
Visualization Method ◽  
3D Image ◽  
Wide Applicability ◽  
Internal Structures ◽  
Cultural Heritage Objects

Recently, we proposed stochastic point-based rendering, which enables precise and interactive-speed transparent rendering of large-scale laser-scanned point clouds. This transparent visualization method does not suffer from rendering artifact and realizes correct depth feel in the created 3D image.In this paper, we apply the method to several kinds of large-scale laser-scanned point clouds of cultural heritage objects and prove its wide applicability.In addition, we prove better image quality is realized by properly eliminating points to realize better distributional uniformity of points. Here, the distributional uniformity means uniformity of inter-point distances between nearest-neighbor points.We also demonstrate that highlighting feature regions, especially edges, in the transparent visualization helps us understand 3D internal structures of complex laser-scanned objects. The feature regions are highlighted by properly increasing local opacity of the regions.

23.3: Characterization of 3D Image Quality on Autostereoscopic Displays — Proposal of Interocular 3D Purity —

2010 ◽  
Vol 41 (1) ◽  
pp. 331 ◽  
Author(s):  
Tsutomu Horikoshi ◽  
Shin-ichi Uehara ◽  
Takafumi Koike ◽  
Chiaki Kato ◽  
Kazuki Taira ◽  
...  
Keyword(s):  
Image Quality ◽  
3D Image ◽  
Autostereoscopic Displays
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