Volume visualization using a spatially aware mobile display device

Bertelsen, Álvaro; Irarrázaval, Pablo; Cádiz, Rodrigo F.

doi:10.1016/j.compmedimag.2011.06.003

Cited by 5 publications

(8 citation statements)

References 5 publications

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“…There is strong evidence that, after the training, participants predominantly used the hybrid mapping (86% of the time on average). In addition to this overall usage, we also 4 Particle tracing/seeding is a technique to explore vector fields datasets by generating a number of particles at a given 3D location. Each of them then follows the vector fields for this starting point.…”

Section: Quantitative Resultsmentioning

confidence: 99%

“…Song et al [67] use a tablet computer instead as a tangible cutting plane and show the resulting data slice both on the tablet and on a large vertical display. On the other hand, Bertelsen et al [4] use a full monitor mounted on a mechanical arm both for tracking and support, and show the respective data slice on the display depending on its location and orientation. In a way, all of these are variations of an earlier approach by Konieczny et al [45] that also allowed users to bend the tangible cutting plane and show the appropriate intersection with the data.…”

Section: Tangible Input and Its Use For 3d Data Explorationmentioning

confidence: 99%

“…After a thorough exploration of the data using the different mappings, the experimenter enabled the interaction mode for particle tracing 4 and explained how it could be performed. Participants were then asked to use it to gain additional insights on the datasets.…”

Section: Study Design and Tasksmentioning

confidence: 99%

See 2 more Smart Citations

Hybrid Tactile/Tangible Interaction for 3D Data Exploration

Besançon

Issartel

Ammi

et al. 2017

IEEE Trans. Visual. Comput. Graphics

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Section: Quantitative Resultsmentioning

confidence: 99%

Section: Tangible Input and Its Use For 3d Data Explorationmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid Tactile/Tangible Interaction for 3D Data Exploration

Besançon

Issartel

Ammi

et al. 2017

IEEE Trans. Visual. Comput. Graphics

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“…Neurological image visualization was also used with new equipments that were designed for neurosurgery applications, such as Bertelsen et al [15] developed a mobile display that could track its position and volume rendering was used to show the images in 3D space. To reduce the complexity of DTI fiber visualization, Brecheisen's group presented a framework that only show DTI fiber tracking uncertainties caused by noise and modeling errors [16].…”

Section: B Related Workmentioning

confidence: 99%

Multimodality Neurological Data Visualization With Multi-VOI-Based DTI Fiber Dynamic Integration

Zhang

Alexander

Ryner

2016

IEEE J. Biomed. Health Inform.

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Brain lesions are usually located adjacent to critical spinal structures, so it is a challenging task for neurosurgeons to precisely plan a surgical procedure without damaging healthy tissues and nerves. The advancement of medical imaging technologies produces a large amount of neurological data, which are capable of showing a wide variety of brain properties. Advanced algorithms of medical data computing and visualization are critically helpful in efficiently utilizing the acquired data for disease diagnosis and brain function and structure exploration, which is helpful for treatment planning. In this paper, we describe new algorithms and a software framework for multiple volume of interest specified diffusion tensor imaging (DTI) fiber dynamic visualization. The displayed results have been integrated with a volume rendering pipeline for multimodality neurological data exploration. A depth texture indexing algorithm is used to detect DTI fiber tracts in graphics process units (GPUs), which makes fibers to be displayed and interactively manipulated with brain data acquired from functional magnetic resonance imaging, T1- and T2-weighted anatomic imaging, and angiographic imaging. The developed software platform is built on an object-oriented structure, which is transparent and extensible. It provides a comprehensive human-computer interface for data exploration and information extraction. The GPU-accelerated high-performance computing kernels have been implemented to enable our software to dynamically visualize neurological data. The developed techniques will be useful in computer-aided neurological disease diagnosis, brain structure exploration, and general cognitive neuroscience.

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“…For example, a sterile draped iPod touch was used as the monitor of a computer-assisted system in total knee replacement and total hip replacement for the pilot study [31]. A spatially aware mobile display device was used for volume visualization [32]. An iPad was used as the video output source, computer, and display device for percutaneous nephrolithotomy [33].…”

Section: Discussionmentioning

confidence: 99%

Easy-to-Use Augmented Reality Neuronavigation Using a Wireless Tablet PC

Deng

Li²,

Wang³

et al. 2013

Stereotact Funct Neurosurg

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Background/Aims: Augmented reality (AR) technology solves the problem of view switching in traditional image-guided neurosurgery systems by integrating computer-generated objects into the actual scene. However, the state-of-the-art AR solution using head-mounted displays has not been widely accepted in clinical applications because it causes some inconvenience for the surgeon during surgery. Methods: In this paper, we present a Tablet-AR system that transmits navigation information to a movable tablet PC via a wireless local area network and overlays this information on the tablet screen, which simultaneously displays the actual scene captured by its back-facing camera. With this system, the surgeon can directly observe the intracranial anatomical structure of the patient with the overlaid virtual projection images to guide the surgery. Results: The alignment errors in the skull specimen study and clinical experiment were 4.6 pixels (approx. 1.6 mm) and 6 pixels (approx. 2.1 mm), respectively. The system was also used for navigation in 2 actual clinical cases of neurosurgery, which demonstrated its feasibility in a clinical application. Conclusions: The easy-to-use Tablet-AR system presented in this study is accurate and feasible in clinical applications and has the potential to become a routine device in AR neuronavigation.

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Volume visualization using a spatially aware mobile display device

Cited by 5 publications

References 5 publications

Hybrid Tactile/Tangible Interaction for 3D Data Exploration

Hybrid Tactile/Tangible Interaction for 3D Data Exploration

Multimodality Neurological Data Visualization With Multi-VOI-Based DTI Fiber Dynamic Integration

Easy-to-Use Augmented Reality Neuronavigation Using a Wireless Tablet PC

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