Difference between revisions of "2017 Winter Project Week/HyperspectralOpht"

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(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.
 
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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.
 
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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==

Revision as of 05:22, 3 January 2017

Home < 2017 Winter Project Week < HyperspectralOpht

Key Investigators

  • Sungmin Hong (NYU)
  • Guido Gerig (NYU)

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

Background and References