Transparency in Interactive Technical Illustrations

Diepstraten, Joachim; Weiskopf, Daniel; Ertl, Thomas

doi:10.1111/1467-8659.t01-1-00591

Cited by 43 publications

(17 citation statements)

References 23 publications

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“…Their visualization method uses a highlighted ring painted on the skin surface around the region of interest, which was adopted by our visualization method for augmented reality. Diepstraten et al [7] propose a small set of guidelines for using transparency for the automatic generation of illustrative industrial visualizations to communicate interior structure of objects. According to the rules "faces of transparent context objects never shine through other transparent faces.…”

Section: Various Approaches For Visualization Of Volumetric Medical mentioning

confidence: 99%

“…Opaque objects which are occluded by two transparent objects do not shine through. Transparency falls off close to the edges of transparent context objects and increases with the distance to edges" [7]. Despite of providing a clear view onto the focus, contour rendering has the drawback that details of the transparent objects are lost and that it ignores material and surface information of the context objects [7].…”

Section: Various Approaches For Visualization Of Volumetric Medical mentioning

confidence: 99%

“…Transparency falls off close to the edges of transparent context objects and increases with the distance to edges" [7]. Despite of providing a clear view onto the focus, contour rendering has the drawback that details of the transparent objects are lost and that it ignores material and surface information of the context objects [7]. Furthermore it only provides "two transparency states: fully opaque or fully non-opaque; semi-transparency cannot be visualized" [7].…”

Section: Various Approaches For Visualization Of Volumetric Medical mentioning

confidence: 99%

“…Despite of providing a clear view onto the focus, contour rendering has the drawback that details of the transparent objects are lost and that it ignores material and surface information of the context objects [7]. Furthermore it only provides "two transparency states: fully opaque or fully non-opaque; semi-transparency cannot be visualized" [7]. Interrante et al [12] determined "ridge and valley lines" providing visual cues to "communicate the shape and position of the transparent skin" and occluded anatomical objects.…”

Section: Various Approaches For Visualization Of Volumetric Medical mentioning

confidence: 99%

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Contextual Anatomic Mimesis Hybrid In-Situ Visualization Method for Improving Multi-Sensory Depth Perception in Medical Augmented Reality

Bichlmeier¹,

Wimmer²,

Heining

et al. 2007

2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality

146

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The need to improve medical diagnosis and reduce invasive surgery is dependent upon seeing into a living human system. The use of diverse types of medical imaging and endoscopic instruments has provided significant breakthroughs, but not without limiting the surgeon's natural, intuitive and direct 3D perception into the human body. This paper presents a method for the use of Augmented Reality (AR) for the convergence of improved perception of 3D medical imaging data (mimesis) in context to the patient's own anatomy (in-situ) incorporating the physician's intuitive multisensory interaction and integrating direct manipulation with endoscopic instruments. Transparency of the video images recorded by the color cameras of a video see-through, stereoscopic HeadMounted-Display (HMD) is adjusted according to the position and line of sight of the observer, the shape of the patient's skin and the location of the instrument. The modified video image of the real scene is then blended with the previously rendered virtual anatomy. The effectiveness has been demonstrated in a series of experiments at the Chirurgische Klinik in Munich, Germany with cadaver and in-vivo studies. The results can be applied for designing medical AR training and educational applications.

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Section: Various Approaches For Visualization Of Volumetric Medical mentioning

confidence: 99%

Section: Various Approaches For Visualization Of Volumetric Medical mentioning

confidence: 99%

Section: Various Approaches For Visualization Of Volumetric Medical mentioning

confidence: 99%

Section: Various Approaches For Visualization Of Volumetric Medical mentioning

confidence: 99%

See 2 more Smart Citations

Contextual Anatomic Mimesis Hybrid In-Situ Visualization Method for Improving Multi-Sensory Depth Perception in Medical Augmented Reality

Bichlmeier¹,

Wimmer²,

Heining

et al. 2007

2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality

146

View full text Add to dashboard Cite

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“…al. 5 In a later work, techniques for automatically producing breakaway and cutaway illustrations of nested surfaces are described 6 . These illustrations remove portions of geometry that occlude the interior surfaces as opposed to rendering those portions as a translucent material.…”

Section: Volume Renderingmentioning

confidence: 99%

Volumetric depth peeling for medical image display

Borland

Clarke

Taylor³

2006

Visualization and Data Analysis 2006

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Volumetric depth peeling (VDP) is an extension to volume rendering that enables display of otherwise occluded features in volume data sets. VDP decouples occlusion calculation from the volume rendering transfer function, enabling independent optimization of settings for rendering and occlusion. The algorithm is flexible enough to handle multiple regions occluding the object of interest, as well as object self-occlusion, and requires no pre-segmentation of the data set. VDP was developed as an improvement for virtual arthroscopy for the diagnosis of shoulder-joint trauma, and has been generalized for use in other simple and complex joints, and to enable non-invasive urology studies. In virtual arthroscopy, the surfaces in the joints often occlude each other, allowing limited viewpoints from which to evaluate these surfaces. In urology studies, the physician would like to position the virtual camera outside the kidney collecting system and see inside it. By rendering invisible all voxels between the observer's point of view and objects of interest, VDP enables viewing from unconstrained positions. In essence, VDP can be viewed as a technique for automatically defining an optimal data-and task-dependent clipping surface. Radiologists using VDP display have been able to perform evaluations of pathologies more easily and more rapidly than with clinical arthroscopy, standard volume rendering, or standard MRI/CT slice viewing.Keywords: visualization in medicine, applications of volume graphics and volume visualization, view-dependent visualization, volume rendering

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