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Interactive Visualization of 3D Histopathology in Native Resolution
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Scientific Visualization Group)ORCID iD: 0000-0003-1511-5006
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Scientific Visualization Group)ORCID iD: 0000-0002-9466-9826
Linköping University, Center for Medical Image Science and Visualization (CMIV). Leeds Teaching Hospitals NHS Trust, United Kingdom.
Linköping University, Center for Medical Image Science and Visualization (CMIV). Sectra, Linköping, Sweden.ORCID iD: 0000-0002-9368-0177
2019 (English)In: IEEE Transactions on Visualization and Computer Graphics, ISSN 1077-2626, E-ISSN 1941-0506, Vol. 25, no 1, p. 1008-1017Article in journal (Refereed) Published
Abstract [en]

We present a visualization application that enables effective interactive visual analysis of large-scale 3D histopathology, that is, high-resolution 3D microscopy data of human tissue. Clinical work flows and research based on pathology have, until now, largely been dominated by 2D imaging. As we will show in the paper, studying volumetric histology data will open up novel and useful opportunities for both research and clinical practice. Our starting point is the current lack of appropriate visualization tools in histopathology, which has been a limiting factor in the uptake of digital pathology. Visualization of 3D histology data does pose difficult challenges in several aspects. The full-color datasets are dense and large in scale, on the order of 100,000 x 100,000 x 100 voxels. This entails serious demands on both rendering performance and user experience design. Despite this, our developed application supports interactive study of 3D histology datasets at native resolution. Our application is based on tailoring and tuning of existing methods, system integration work, as well as a careful study of domain specific demands emanating from a close participatory design process with domain experts as team members. Results from a user evaluation employing the tool demonstrate a strong agreement among the 14 participating pathologists that 3D histopathology will be a valuable and enabling tool for their work.

Place, publisher, year, edition, pages
2019. Vol. 25, no 1, p. 1008-1017
Keywords [en]
Histology, Pathology, Volume Rendering, Expert Evaluation
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-150420DOI: 10.1109/tvcg.2018.2864816ISI: 000452640000096OAI: oai:DiVA.org:liu-150420DiVA, id: diva2:1240806
Funder
VINNOVA, 2014-04257
Note

Funding agencies: Excellence Center at Linkoping and Lund in Information Technology (ELLIIT); Swedish e-Science Research Centre (SeRC); DigiPat project by VINNOVA grant [2014-04257]

Available from: 2018-08-22 Created: 2018-08-22 Last updated: 2019-01-07

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Falk, MartinYnnerman, AndersTreanor, DarrenLundström, Claes

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