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tipiX Rapid Visualization of Large Datasets

tipiX Rapid Visualization of Large Datasets. Adrian V. Dalca, Ramesh Sridharan, Natalia Rost, Polina Golland. Alzheimer’s Disease, Brain MRI, PET 2000+. Stroke, Brain MRI 4000+. Autism, Brain MRI , fMRI 1000+. Heart, Brain MRI 2500+, 6000. Brain Mapping

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tipiX Rapid Visualization of Large Datasets

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  1. tipiXRapid Visualization of Large Datasets Adrian V. Dalca, Ramesh Sridharan, Natalia Rost, Polina Golland

  2. Alzheimer’s Disease, Brain MRI, PET2000+ Stroke, Brain MRI 4000+ Autism, Brain MRI, fMRI 1000+ Heart, Brain MRI 2500+, 6000 Brain Mapping MRI, fMRI, MRA, DTI, PET~800 COPD Lung CT 10,000+

  3. Outline Current methods for exploring datasets Our method: tipiX User study Conclusion

  4. Outline Current methods for exploring datasets Our method: tipiX User study Conclusion

  5. Current Methods: Visualize Subjects

  6. Current Methods: Visualize Subjects

  7. Current Methods: Grids

  8. Statistics Summarize data and results Appropriate statistics are difficult to determine Provide concise, superficial overview of data Usually won’t detect patterns, imaging details

  9. Outline Current methods for exploring datasets Our method: tipiX User study Conclusion

  10. tipiX Demonstration tipiX demonstration Dataset

  11. Exploring Dimensions Dataset Dimensions Spatial dimensions (2D slice) Volume Depth Subject ID Longitudinal data Temporal data (fMRI) Different scan modality Clinical Factors (e.g. Age) Parameter sweeps Trying different algorithms … Dorsal-ventral Subject ID

  12. tipiX Demo Slice vs subject number • Lesion • Registration • Difficult registration Groups vs age • Time evolution of vascular disease Slice vs parameter grid • Parameter sweep Slice vs subject number Grid • Original dataset exploration

  13. White Matter Hyperintensity

  14. Features Open source, works directly on modern browser • Processing is client-side Streamlined collaboration: specific tipiX link encodes dataset • Assumes collaborators have data access Many features present and in development • Display volume info, volume control slice:drop binding, website embedding… • Come to the demo!

  15. Outline Current methods for exploring datasets Our method: tipiX User study Conclusion

  16. User Study Threshold registration quality500 subjects … 1 500 ordered subjects

  17. Outline Current methods for exploring datasets Our method: tipiX User study Conclusion

  18. Conclusions Visualization of large datasets across many dimensions is important tipiX presents an intuitive visualization platform • Enables pattern detection, outlier detection, visualization of trends • Web implementation enables easy collaboration, open-source development User study demonstrates promising ability to explore datasets quickly

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