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Intuitive Exploration of Volumetric Data Using Dynamic Galleries
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5220-633X
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. Linköping University, Center for Medical Image Science and Visualization (CMIV).ORCID iD: 0000-0002-9466-9826
2016 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 22, no 1, 896-905 p.Article in journal (Refereed) Published
Abstract [en]

In this work we present a volume exploration method designed to be used by novice users and visitors to science centers and museums. The volumetric digitalization of artifacts in museums is of rapidly increasing interest as enhanced user experience through interactive data visualization can be achieved. This is, however, a challenging task since the vast majority of visitors are not familiar with the concepts commonly used in data exploration, such as mapping of visual properties from values in the data domain using transfer functions. Interacting in the data domain is an effective way to filter away undesired information but it is difficult to predict where the values lie in the spatial domain. In this work we make extensive use of dynamic previews instantly generated as the user explores the data domain. The previews allow the user to predict what effect changes in the data domain will have on the rendered image without being aware that visual parameters are set in the data domain. Each preview represents a subrange of the data domain where overview and details are given on demand through zooming and panning. The method has been designed with touch interfaces as the target platform for interaction. We provide a qualitative evaluation performed with visitors to a science center to show the utility of the approach.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2016. Vol. 22, no 1, 896-905 p.
Keyword [en]
Transfer function; scalar fields; volume rendering; touch interaction; visualization; user interfaces
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-123054DOI: 10.1109/TVCG.2015.2467294ISI: 000364043400095PubMedID: 26390481OAI: oai:DiVA.org:liu-123054DiVA: diva2:876666
Note

Funding Agencies|Swedish Research Council, VR [2011-5816]; Excellence Center at Linkoping and Lund in Information Technology (ELLIIT); Linnaeus Environment CADICS; Swedish e-Science Research Centre (SeRC)

Available from: 2015-12-04 Created: 2015-12-03 Last updated: 2017-12-01
In thesis
1. Enhancing Salient Features in Volumetric Data Using Illumination and Transfer Functions
Open this publication in new window or tab >>Enhancing Salient Features in Volumetric Data Using Illumination and Transfer Functions
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The visualization of volume data is a fundamental component in the medical domain. Volume data is used in the clinical work-flow to diagnose patients and is therefore of uttermost importance. The amount of data is rapidly increasing as sensors, such as computed tomography scanners, become capable of measuring more details and gathering more data over time. Unfortunately, the increasing amount of data makes it computationally challenging to interactively apply high quality methods to increase shape and depth perception. Furthermore, methods for exploring volume data has mostly been designed for experts, which prohibits novice users from exploring volume data. This thesis aims to address these challenges by introducing efficient methods for enhancing salient features through high quality illumination as well as methods for intuitive volume data exploration.

Humans are interpreting the world around them by observing how light interacts with objects. Shadows enable us to better determine distances while shifts in color enable us to better distinguish objects and identify their shape. These concepts are also applicable to computer generated content. The perception in volume data visualization can therefore be improved by simulating real-world light interaction. This thesis presents efficient methods that are capable of interactively simulating realistic light propagation in volume data. In particular, this work shows how a multi-resolution grid can be used to encode the attenuation of light from all directions using spherical harmonics and thereby enable advanced interactive dynamic light configurations. Two methods are also presented that allow photon mapping calculations to be focused on visually changing areas.The results demonstrate that photon mapping can be used in interactive volume visualization for both static and time-varying volume data.

Efficient and intuitive exploration of volume data requires methods that are easy to use and reflect the objects that were measured. A value that has been collected by a sensor commonly represents the material existing within a small neighborhood around a location. Recreating the original materials is difficult since the value represents a mixture of them. This is referred to as the partial-volume problem. A method is presented that derives knowledge from the user in order to reconstruct the original materials in a way which is more in line with what the user would expect. Sharp boundaries are visualized where the certainty is high while uncertain areas are visualized with fuzzy boundaries. The volume exploration process of mapping data values to optical properties through the transfer function has traditionally been complex and performed by expert users. A study at a science center showed that visitors favor the presented dynamic gallery method compared to the most commonly used transfer function editor.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2016. 61 p.
Series
Linköping Studies in Science and Technology. Dissertations, ISSN 0345-7524 ; 1789
National Category
Media and Communication Technology Computer Science Media Engineering Other Computer and Information Science
Identifiers
urn:nbn:se:liu:diva-131023 (URN)10.3384/diss.diva-131023 (DOI)9789176856895 (ISBN)
Public defence
2016-10-21, Domteatern, Visualiseringscenter C, Kungsgatan 54, Norrköping, 09:30 (English)
Opponent
Supervisors
Available from: 2016-10-04 Created: 2016-09-05 Last updated: 2016-10-04Bibliographically approved

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