Algorithms for Direct Volume Visualization

Preim, Bernhard; Bartz, Dirk

doi:10.1016/b978-012370596-9/50012-2

Cited by 17 publications

(27 citation statements)

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“…Virtual-reality technology is leading to the creation of a new healthcare environment through the use of interfaces with medical technology; this is because virtual-reality technology can be used to visualize three-dimensional (3D) data and enable user interaction in various ways by combining auditory, touch, and haptic technology. Healthcare data such as computed tomography (CT) images, magnetic resonance imaging (MRI), cryosection images, and confocal microscopy images are 3D images; thus, these can be analyzed by visualizing them on a monitor [26]. Furthermore, 3D data are easily transmitted to a virtual-reality system and can be visualized and analyzed using 3D-display equipment, such as a head-mounted display (HMD).…”

Section: Related Workmentioning

confidence: 99%

Biological-Signal-Based User-Interface System for Virtual-Reality Applications for Healthcare

2018

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Biosignal interfaces provide important data that reveal the physical status of a user, and they are used in the medical field for patient health status monitoring, medical automation, or rehabilitation services. Biosignals can be used in developing new contents, in conjunction with virtual reality, and are important factors for extracting user emotion or measuring user experience. A biological-signal-based user-interface system composed of sensor devices, a user-interface system, and an application that can extract biological-signal data from multiple biological-signal devices and be used by content developers was designed. A network-based protocol was used for unconstrained use of the device so that the biological signals can be freely received via USB, Bluetooth, WiFi, and an internal system module. A system that can extract biological-signal data from multiple biological-signal data and simultaneously extract and analyze the data from a virtual-reality-specific eye-tracking device was developed so that users who develop healthcare contents based on virtual-reality technology can easily use the biological signals.

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Section: Related Workmentioning

confidence: 99%

Biological-Signal-Based User-Interface System for Virtual-Reality Applications for Healthcare

2018

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“…Numerous approaches exist for volume visualisation which range from the very accurate to the very interactive [3,4]. In recent times, the gap between these two extents has narrowed with technologies now enabling the interactive visualisation of very complex volume data.…”

Section: Related Workmentioning

confidence: 99%

Perceptual enhancement of two-level volume rendering

Corcoran

Redmond

Dingliana

2010

Computers & Graphics

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We present a system for interactive visualisation of 3D volumetric medical datasets combined with perceptual evaluation of how such visualizations can affect a user's interpretation of scenes and attention. Enhancements to traditional volume renderings are provided through a two-level volume rendering strategy which employs fast GPU-based Direct Volume Rendering (DVR) coupled with an additional layer of perceptual cues derived from various techniques from the nonphotorealistic rendering (NPR) literature. The two-level approach allows us to successfully separate the most relevant data from peripheral extraneous detail enabling the user to more effectively understand the visual information. Peripheral details are abstracted but sufficiently retained in order to provide spatial reference. We perform a number of perceptual user experiments which test how this approach affects a user's attention and ability to determine the shape of an object. Results indicate that our approach can provide a significant improvement in user perception of shape in complex visualizations, especially when a user has little or no prior knowledge of the data. Our approach would prove extremely useful in technical, medical or scientific visualizations to improve understanding of detailed volumetric datasets. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 A c c e p t e d m a n u s c r i p t Perceptual Enhancement of Two-level Volume Rendering AbstractWe present a system for interactive visualisation of 3D volumetric medical datasets combined with perceptual evaluation of how such visualizations can affect a user's interpretation of scenes and attention. Enhancements to traditional volume renderings are provided through a two-level volume rendering strategy which employs fast GPU-based Direct Volume Rendering (DVR) coupled with an additional layer of perceptual cues derived from various techniques from the non-photorealistic rendering (NPR) literature. The two-level approach allows us to successfully separate the most relevant data from peripheral extraneous detail enabling the user to more effectively understand the visual information. Peripheral details are abstracted but sufficiently retained in order to provide spatial reference. We perform a number of perceptual user experiments which test how this approach affects a user's attention and ability to determine the shape of an object. Results indicate that our approach can provide a significant improvement in user perception of shape in complex visualizations, especially when a user has little or no prior knowledge of the data. Our approach would prove extremely useful in technical, medical or scientific visualizations to improve understanding of detailed volumetric datasets.

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“…The most known algorithm for this purpose is marching cubes, which has proved to produce models of too high complexity for the use as bounding structures. Therefore, the simpler cuberille method was utilized in this work [34]. For every voxel that contains data above a threshold, quads representing the voxels sides are generated to all neighboring voxels that do not contain data above the threshold.…”

Section: Ray Castingmentioning

confidence: 99%

High-performance GPU-based rendering for real-time, rigid 2D/3D-image registration and motion prediction in radiation oncology

Spoerk

Gendrin

Weber

et al. 2012

Zeitschrift für Medizinische Physik

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A common problem in image-guided radiation therapy (IGRT) of lung cancer as well as other malignant diseases is the compensation of periodic and aperiodic motion during dose delivery. Modern systems for image-guided radiation oncology allow for the acquisition of cone-beam computed tomography data in the treatment room as well as the acquisition of planar radiographs during the treatment. A mid-term research goal is the compensation of tumor target volume motion by 2D/3D registration. In 2D/3D registration, spatial information on organ location is derived by an iterative comparison of perspective volume renderings, so-called digitally rendered radiographs (DRR) from computed tomography volume data, and planar reference x-rays. Currently, this rendering process is very time consuming, and real-time registration, which should at least provide data on organ position in less than a second, has not come into existence. We present two GPU-based rendering algorithms which generate a DRR of 512 × 512 pixels size from a CT dataset of 53 MB size at a pace of almost 100 Hz. This rendering rate is feasible by applying a number of algorithmic simplifications which range from alternative volume-driven rendering approaches -namely so-called wobbled splatting -to sub-sampling of the DRR-image by means of specialized raycasting techniques. Furthermore, general purpose graphics processing unit (GPGPU) programming paradigms were consequently utilized. Rendering quality and performance as well as the influence on the quality and performance of the overall registration process were measured and analyzed in detail. The results show that both methods are competitive and pave the way for fast motion compensation by rigid and possibly even non-rigid 2D/3D registration and, beyond that, adaptive filtering of motion models in IGRT.

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Algorithms for Direct Volume Visualization

Cited by 17 publications

References 0 publications

Biological-Signal-Based User-Interface System for Virtual-Reality Applications for Healthcare

Biological-Signal-Based User-Interface System for Virtual-Reality Applications for Healthcare

Perceptual enhancement of two-level volume rendering

High-performance GPU-based rendering for real-time, rigid 2D/3D-image registration and motion prediction in radiation oncology

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