2017 Winter Project Week/HyperspectralOpht

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  Projects List

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
3D/4D Ophthalmology Image Anaylsis Framework 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