Interactive Visualization of 3D Histopathology in Native Resolution

IEEE TVCG (SciVis Proceedings), Volume 25, Number 1, page 1008--1017 - jan 2019
Download the publication : falk-3dhistology-preprint.pdf [8.6Mo]  

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.

This work will be presented at IEEE VIS 2018. To appear in IEEE Transactions on Visualization and Computer Graphics in January 2019.

Access publication here.
DOI: 10.1109/TVCG.2018.2864816

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BibTex references

  author       = {Falk, Martin and Ynnerman, Anders and Treanor, Darren and Lundstr{\"o}m, Claes},
  title        = {{Interactive Visualization of 3D Histopathology in Native Resolution}},
  journal      = {IEEE TVCG (SciVis Proceedings)},
  number       = {1},
  volume       = {25},
  pages        = {1008--1017},
  year         = {2019}

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