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

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

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

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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 11 tipiX demonstration Dataset

Exploring Dimensions 12 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

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 17 ordered subjects Threshold registration quality 500 subjects … 1 500

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 19