Interactive path planning for virtual endoscopy [colon CT]

Chiou, Rui C. H.; Kaufman, Arie; Zhang, Liang; Hong, Lichan; Achniotou, M.

doi:10.1109/nssmic.1998.773940

Cited by 7 publications

(5 citation statements)

References 8 publications

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“…Search algorithms are used to find minimal distance paths through the graph (Chiou et al, 1998; Bitter et al, 2001; Hong et al, 1997). Wan et al (2001) used distance fields to compute central paths, while Chaudhuri et al (2004) used similar concepts, but with a different distance measure.…”

Section: Curve Fitting Algorithmsmentioning

confidence: 99%

A Case Study in Pharmacologic Colon Imaging Using Principal Curves in Single-Photon Emission Computed Tomography

Caffo

Crainiceanu

Deng

et al. 2008

Journal of the American Statistical Association

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In this manuscript we are concerned with functional imaging of the colon to assess the kinetics of microbicide lubricants. The overarching goal is to understand the distribution of the lubricants in the colon. Such information is crucial for understanding the potential impact of the microbicide on HIV viral transmission. The experiment was conducted by imaging a radiolabeled lubricant distributed in the subject's colon. The tracer imaging was conducted via single photon emission computed tomography (SPECT), a non-invasive, in-vivo functional imaging technique. We develop a novel principal curve algorithm to construct a three dimensional curve through the colon images. The developed algorithm is tested and debugged on several difficult two-dimensional images of familiar curves where the original principal curve algorithm does not apply. The final curve fit to the colon data is compared with experimental sigmoidoscope collection.

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Section: Curve Fitting Algorithmsmentioning

confidence: 99%

A Case Study in Pharmacologic Colon Imaging Using Principal Curves in Single-Photon Emission Computed Tomography

Caffo

Crainiceanu

Deng

et al. 2008

Journal of the American Statistical Association

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“…However, curve fitting has received a great deal of attention in the computer-vision and medical-image-processing literature. Relevant literature exists in the field of virtual colonoscopy and localization of polyps [see, for example, McFarland et al (1997); Samara et al (1998Samara et al ( , 1999; Hong et al (1997); Chiou et al (1998); Deschamps and Cohen (2001)]. These approaches generally require connected curves, and are not directly applicable to the range of problems that we consider, which may have interrupted structures or may be a voxelwise reduction of connected-curve data.…”

Section: Motivating Data Setsmentioning

confidence: 99%

Nonlinear tube-fitting for the analysis of anatomical and functional structures

Goldsmith¹,

Caffo²,

Crainiceanu³

et al. 2011

Ann. Appl. Stat.

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We are concerned with the estimation of the exterior surface and interior summaries of tube-shaped anatomical structures. This interest is motivated by two distinct scientific goals, one dealing with the distribution of HIV microbicide in the colon and the other with measuring degradation in white-matter tracts in the brain. Our problem is posed as the estimation of the support of a distribution in three dimensions from a sample from that distribution, possibly measured with error. We propose a novel tube-fitting algorithm to construct such estimators. Further, we conduct a simulation study to aid in the choice of a key parameter of the algorithm, and we test our algorithm with validation study tailored to the motivating data sets. Finally, we apply the tube-fitting algorithm to a colon image produced by single photon emission computed tomography (SPECT) and to a white-matter tract image produced using diffusion tensor imaging (DTI).

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“…The underlying techniques mostly rely on skeletonization of the structures and on path‐planning approaches such as potential fields. For example, [HMK*97] and [CHL*98] report a technique that avoids collisions for guided navigation in the human colon. The surfaces of the colon and the centre line of the colon are modelled with repulsive and attractive fields, respectively.…”

Section: Interactive Camera Controlmentioning

confidence: 99%

Camera Control in Computer Graphics

Christie

Olivier

Normand

2008

Computer Graphics Forum

151

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Recent progress in modelling, animation and rendering means that rich, high fidelity virtual worlds are found in many interactive graphics applications. However, the viewer's experience of a 3D world is dependent on the nature of the virtual cinematography, in particular, the camera position, orientation and motion in relation to the elements of the scene and the action. Camera control encompasses viewpoint computation, motion planning and editing. We present a range of computer graphics applications and draw on insights from cinematographic practice in identifying their different requirements with regard to camera control. The nature of the camera control problem varies depending on these requirements, which range from augmented manual control (semi-automatic) in interactive applications, to fully automated approaches. We review the full range of solution techniques from constraint-based to optimization-based approaches, and conclude with an examination of occlusion management and expressiveness in the context of declarative approaches to camera control.

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Interactive path planning for virtual endoscopy [colon CT]

Cited by 7 publications

References 8 publications

A Case Study in Pharmacologic Colon Imaging Using Principal Curves in Single-Photon Emission Computed Tomography

A Case Study in Pharmacologic Colon Imaging Using Principal Curves in Single-Photon Emission Computed Tomography

Nonlinear tube-fitting for the analysis of anatomical and functional structures

Camera Control in Computer Graphics

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