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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

tipiXRapid Visualization of Large Datasets

Adrian V. Dalca, Ramesh Sridharan, Natalia Rost, Polina Golland


Tipix rapid visualization of large datasets

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+


Outline
Outline

Current methods for exploring datasets

Our method: tipiX

User study

Conclusion


Outline1
Outline

Current methods for exploring datasets

Our method: tipiX

User study

Conclusion





Statistics
Statistics

Summarize data and results

Appropriate statistics are difficult to determine

Provide concise, superficial overview of data

Usually won’t detect patterns, imaging details


Outline2
Outline

Current methods for exploring datasets

Our method: tipiX

User study

Conclusion


Tipix demonstration
tipiX Demonstration

tipiX demonstration Dataset


Exploring dimensions
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


Tipix demo
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


White matter hyperintensity
White Matter Hyperintensity


Features
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!


Outline3
Outline

Current methods for exploring datasets

Our method: tipiX

User study

Conclusion


User study
User Study

Threshold registration quality500 subjects

1

500

ordered subjects


Outline4
Outline

Current methods for exploring datasets

Our method: tipiX

User study

Conclusion


Conclusions
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