Difference between revisions of "2017 Winter Project Week/HyperspectralOpht"
From NAMIC Wiki
(3D/4D hyperspectral data analysis) |
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* Sungmin Hong (NYU) | * Sungmin Hong (NYU) | ||
* Guido Gerig (NYU) | * Guido Gerig (NYU) | ||
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| + | This project aims to offer a tool which makes use of 3D/4D ophthalmology data in different modalities to extract information which can compensate each other for richer analysis. | ||
| + | 3D high resolution data (SIM) displays individual cells with sharp boundaries which are hard to be localized in 4D hyperspectral data (LSM) because of low resolution. | ||
| + | The tool that we want to provide to users should offer image processing modules, such as, co-registration between SIM and LSM data, segmentation on SIM and mapping the segmentation label from SIM to LSM to analyze spectral information of each cell. | ||
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==Project Description== | ==Project Description== | ||
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<!-- Objective bullet points --> | <!-- Objective bullet points --> | ||
| − | + | 3D/4D Ophthalmology Image Anaylsis Framework | |
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| + | * Read 4D hyperspectral data | ||
| + | * Viewer and interactor for 3D hi-res image data and 4D hyperspectral data | ||
| + | * Co-registration between 3D hi-res data and 4D hyperspectral data | ||
| + | * Cell segmentation in 3D hi-res data | ||
| + | * Statistics of cells (possibly location, size, distribution) | ||
| + | * Plot of spectra of selected cells or a region-of-interest | ||
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<!-- Approach and Plan bullet points --> | <!-- Approach and Plan bullet points --> | ||
Revision as of 05:20, 3 January 2017
Home < 2017 Winter Project Week < HyperspectralOpht
Key Investigators
- Sungmin Hong (NYU)
- Guido Gerig (NYU)
This project aims to offer a tool which makes use of 3D/4D ophthalmology data in different modalities to extract information which can compensate each other for richer analysis. 3D high resolution data (SIM) displays individual cells with sharp boundaries which are hard to be localized in 4D hyperspectral data (LSM) because of low resolution. The tool that we want to provide to users should offer image processing modules, such as, co-registration between SIM and LSM data, segmentation on SIM and mapping the segmentation label from SIM to LSM to analyze spectral information of each cell.
Project Description
| Objective | Approach and Plan | Progress and Next Steps |
|---|---|---|
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3D/4D Ophthalmology Image Anaylsis Framework
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