NCI Evaluating NA-MIC Tools for Image Analysis

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Home < NCI Evaluating NA-MIC Tools for Image Analysis



Key Investigators

  • NCI: Yanling Liu, Christopher Kurcz
  • KnowledgeVis: Curt Lisle



Objective

The National Cancer Institute performs research in multiple internal laboratories. Microscopy, small animal imaging, and other cancer-fighting work may all benefit from increased use of imaging technology. The purpose of this project is to apply NA-MIC tools and technology to research datasets.

Approach, Plan

  • We will bring sample datasets from microscopy and small animal scans to the project week. These datasets are in ICS (microscopy format similar to NRRD), and MRI datasets of mice.
  • During the week, we will use Slicer to adjust, register, segment, and analyze these datasets. Our goal is to determine which modules are the most useful for biological analysis, and contribute to the testing and refinement of those modules.

Progress

  • Tested and found Affine Registration and ChangeTracker modules didn't work to detect tumor growth in a mouse colon cancer longitudinal dataset pair. We think our dataset was not adequately prepared, but also the application is a new area for the ChangeTracker. We will repeat with the RegisterImages module and consult with Stephen Alyward and Andriy during the AHM.