Immersive virtual reality for visualizing flow through an artery

Forsberg, Andrew; Laidlaw, David H.; Dam, Andries van; Kirby, Robert M.; Kafniadakis, G.E.; Elion, J

doi:10.1109/visual.2000.885731

Cited by 17 publications

(11 citation statements)

References 12 publications

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“…Vessel visualization: Vessels or branched systems are primarily visualized with 3D representations [7,13,28,31] with scalar quantities such as ESS mapped onto the surface using color encodings [12]. In 2D, a common technique is to generate a Curved Planar Reformation (CPR) visualization of the vascular structure, where an image is generated by taking slices along a generated centerline and displaying the intensity units [15,44].…”

Section: Related Workmentioning

confidence: 99%

Evaluation of Artery Visualizations for Heart Disease Diagnosis

Borkin

Gajos

Peters

et al. 2011

IEEE Trans. Visual. Comput. Graphics

146

117

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Abstract-Heart disease is the number one killer in the United States, and finding indicators of the disease at an early stage is critical for treatment and prevention. In this paper we evaluate visualization techniques that enable the diagnosis of coronary artery disease. A key physical quantity of medical interest is endothelial shear stress (ESS). Low ESS has been associated with sites of lesion formation and rapid progression of disease in the coronary arteries. Having effective visualizations of a patient's ESS data is vital for the quick and thorough non-invasive evaluation by a cardiologist. We present a task taxonomy for hemodynamics based on a formative user study with domain experts. Based on the results of this study we developed HemoVis, an interactive visualization application for heart disease diagnosis that uses a novel 2D tree diagram representation of coronary artery trees. We present the results of a formal quantitative user study with domain experts that evaluates the effect of 2D versus 3D artery representations and of color maps on identifying regions of low ESS. We show statistically significant results demonstrating that our 2D visualizations are more accurate and efficient than 3D representations, and that a perceptually appropriate color map leads to fewer diagnostic mistakes than a rainbow color map.

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Section: Related Workmentioning

confidence: 99%

Evaluation of Artery Visualizations for Heart Disease Diagnosis

Borkin

Gajos

Peters

et al. 2011

IEEE Trans. Visual. Comput. Graphics

146

117

View full text Add to dashboard Cite

show abstract

“…Moreover, 3D models can be reconstructed both through a surface and direct volume rendering. The Virtual Reality Service gives the user all the functionalities for immersive visualization and interaction with the 3D model (Forsberg, Kirby, 2000). This service consists of five components: 1) the VRJ Viewer which is the component for immersive visualization of the synthetic model.…”

Section: System Architecture Overviewmentioning

confidence: 99%

A Virtual Reality System for Medical Imaging

Pietro

Marra

Vanzanella³

2007

Proceedings of the Second International Conference on Computer Graphics Theory and Applications

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In recent years significant advances in the field of Immersive Medical Imaging Analysis have made it essential to many disciplines related to medicine, such as radiology, neurology, cardiology, radiotherapy. Starting from three dimensional (3D) image datasets produced by computed tomography (CT) or magnetic resonance imaging (MRI) scans, for these areas it can be very useful to use simulated visualizations of human organs. By viewing the inside of anatomical structures and interacting with them, doctors can better understand the data of interest for medical training, surgical simulations, examination and diagnosis aims.In this paper we present a virtual reality system, that involves new software components based on top of opensource and cross-platform libraries; it consists of a set of services implementing immersive 3D navigation and interaction of virtual representations of human organ structures, starting from DICOM data. These features have been developed to be integrated into a medical imaging component-based architecture, which at present is under development.

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“…Our research is in the context of actual scientific computing applications. In particular, Kirby is associated with the Utah Scientific Computing and Imaging (SCI) Institute that has been involved in the development of HPC software [3,16,17,18,19]. We also have numerous external collaborations, the most notable being a collaboration that has recently started with the principal developers of MPICH2 (ANL).…”

Section: Introductionmentioning

confidence: 99%

Toward reliable and efficient message passing software through formal analysis

Gopalakrishnan

Kirby

2006

Proceedings 20th IEEE International Parallel &Amp; Distributed Processing Symposium

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The quest for high performance drives parallel scientific computing software design. Well over 60% of the high-performance computing (HPC) community writes programs using the MPI library; to gain performance, they are known to perform many manual optimizations. Even tools that accept high level descriptions often generate MPI code, due to its eminent portability. However, since the overall performance of a program does not usually port (due to variations in the target architecture, cluster size, etc.), manual changes to the code are inevitable in today's approaches to MPI programming and optimization. This, together with the vastness and evolving nature of the MPI standard, and the innate complexity of concurrent programming introduces costly bugs.Our research addresses these challenges through specific efforts in the following broad areas: (i) high level expression of the parallel algorithm and compilation thereof into optimized MPI programs, (ii) optimizations of user-written detailed MPI programs through localized transformations such as barrier removal, (iii) formal modeling of complex communication standards, such as the MPI-2 standard and a facility for answering putative queries (this need arises when standard documents are impossibly difficult to manually study in order to answer questions that are not explicitly addressed in the standard), (iv) formal modeling of new (and hence relatively less well understood) features of communication libraries, such as the one-sided communication facility of MPI-2, and (v) formal modeling of intricate control algorithms in these libraries such as the progress engine for TCP and/or shared memory in MPICH2 (a formal model can explicate commonalities, help formally verify, as well as help create better future implementations). Our research gains focus through * Supported in part by NSF award CNS-0509379 numerous collaborations.

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Immersive virtual reality for visualizing flow through an artery

Cited by 17 publications

References 12 publications

Evaluation of Artery Visualizations for Heart Disease Diagnosis

Evaluation of Artery Visualizations for Heart Disease Diagnosis

A Virtual Reality System for Medical Imaging

Toward reliable and efficient message passing software through formal analysis

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