&lt;title&gt;Iso-surface volume rendering&lt;/title&gt;

Bosma, Marco; Smit, Jaap; Lobregt, S.

doi:10.1117/12.312490

Cited by 14 publications

(12 citation statements)

References 3 publications

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“…Within this family, the shortest-support function that is continuously differentiable is unique; it is the quadratic spline . This function is different from the Dodgson's interpolator [24] used in [8], which has a lower order of approximation [25]. Contrary to Dodgson's interpolator, we observe that the quadratic spline does not satisfy the traditional interpolation condition; in other words, we have that .…”

Section: B Outcomementioning

confidence: 57%

“…In the context of ray tracing, this results in a large speed-up since it is necessary to evaluate the model only in the vicinity of the isosurface, which avoids the need for the fruitless oversampling away from the isosurface that other high-quality methods such as [5]- [8] have to endure.…”

Section: B Outcomementioning

confidence: 99%

“…More modern methods [5]- [8] rely on fitting the discrete data with a continuous model , which restores the continuous definition of . Then, it becomes possible to render-by a technique such as ray tracing-the continuous surface defined by the frontier of .…”

Section: Introductionmentioning

confidence: 99%

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Precision isosurface rendering of 3-D image data

Thévenaz

Unser

2003

IEEE Trans. on Image Process.

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Abstract-We address the task of rendering by ray tracing the isosurface of a high-quality continuous model of volumetric discrete and regular data. Based on first principles, we identify the quadratic B-spline as the best model for our purpose. The nonnegativity of this basis function allows us to confine the potential location of the isosurface within a binary shell. We then show how to use the space-embedding property of splines to further shrink this shell to essentially a single voxel width. Not all rays traced through a given shell voxel will intersect the isosurface; many may only graze it, especially when the ray-tracing vantage point is close or within the volume to render. We propose here an efficient heuristic to detect those cases. We present experiments to support our claims.

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Section: B Outcomementioning

confidence: 57%

Section: B Outcomementioning

confidence: 99%

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Precision isosurface rendering of 3-D image data

Thévenaz

Unser

2003

IEEE Trans. on Image Process.

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“…A traditional rendering algorithm [9] with a bidirectional reflectance distribution function (BRDF), shown in eq (1), was implemented on the GPU using CUDA (NVidia, Santa Clara CA)

{BRDF}_{Lamb} false(p false) = σ \frac{L cos θ_{s} false(p false)}{π R {false(p false)}^{2}}

where L is intensity of the light source, θ s is the angle between the ray and surface normal, R is distance from light source to the surface and σ is a proportionality factor (albedo, camera characteristics, etc.). The surface normal was computed at the point where the ray intersects with an iso-surface of CT image defined by a specified threshold.…”

Section: Methodsmentioning

confidence: 99%

Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery

et al. 2015

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We present a system for registering the coordinate frame of an endoscope to pre- or intra- operatively acquired CT data based on optimizing the similarity metric between an endoscopic image and an image predicted via rendering of CT. Our method is robust and semi-automatic because it takes account of physical constraints, specifically, collisions between the endoscope and the anatomy, to initialize and constrain the search. The proposed optimization method is based on a stochastic optimization algorithm that evaluates a large number of similarity metric functions in parallel on a graphics processing unit. Images from a cadaver and a patient were used for evaluation. The registration error was 0.83 mm and 1.97 mm for cadaver and patient images respectively. The average registration time for 60 trials was 4.4 seconds. The patient study demonstrated robustness of the proposed algorithm against a moderate anatomical deformation.

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“…For large objects with straight edges, this intensity indicates the correct location of the separation between two objects. Some methods use one iso-value -which is fixed at half the intensity of the object before blurring -for segmentation and visualization 16 of vessels. However, a global threshold based on this value shows a large underestimation of the diameter for small vessels, and the vessel boundary may even be missed while it is still clearly visible in the images.…”

Section: Methodsmentioning

confidence: 99%

Unbiased vessel-diameter quantification based on the FWHM criterion

et al. 2007

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The full-width at half-max (FWHM) criterion is often used for both manual and automatic quantification of the vessel diameter in medical images. The FWHM criterion is easy to understand and it can be implemented with low computational cost. However, it is well known that the FWHM criterion can give an over-and underestimation of the vessel diameter. In this paper, we propose a simple and original method to create an unbiased estimation of the vessel diameter based on the FWHM criterion and we compared the robustness to noise of several edge detectors. The quantitative results of our experiments show that the proposed method is more accurate and precise than other (more complex) edge detectors, even for small vessels.

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<title>Iso-surface volume rendering</title>

Cited by 14 publications

References 3 publications

Precision isosurface rendering of 3-D image data

Precision isosurface rendering of 3-D image data

Rendering-based video-CT registration with physical constraints for image-guided endoscopic sinus surgery

Unbiased vessel-diameter quantification based on the FWHM criterion

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