Advances in Biomedical Engineering 2009
DOI: 10.1016/b978-0-444-53075-2.00006-x
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Biomedical Visualization

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Cited by 5 publications
(4 citation statements)
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References 113 publications
(128 reference statements)
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“…A representative series of images of CTGF and filamentous-actin staining of WK1 cells is shown (Fig. 1 a) and using colour-coded contrast with a rainbow look-up table 35 to facilitate visualization of differences in CTGF staining (Fig. 1 b).…”
Section: Resultsmentioning
confidence: 99%
“…A representative series of images of CTGF and filamentous-actin staining of WK1 cells is shown (Fig. 1 a) and using colour-coded contrast with a rainbow look-up table 35 to facilitate visualization of differences in CTGF staining (Fig. 1 b).…”
Section: Resultsmentioning
confidence: 99%
“…As marching cube algorithm is the most successful isosurface extraction algorithm which is simple to implement, 28 to detect and separate bones from other tissues in the data, a marching cube algorithm is used in this work. Marching cube uses a threshold value to extract an isosurface from a 3D scalar value dataset.…”
Section: Methodsmentioning
confidence: 99%
“…Unlike a previous review on biomedical visualization techniques [ 9 ], our overview covers advanced visual analysis methods for medical images that are arranged based on a taxonomy of medical problems from individuals to populations (Section 4 ) and also includes advances in fundamental visualization methods (Section 3 ). This paper also features an overview of techniques that could improve spatial perception, which is vital for the understanding of medical images in 3D.…”
Section: Scopementioning
confidence: 99%