Slicer3:LUTs and Ontologies

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Introduction

The NAC CCA Core is developing tools to make computer-readable sources of medical knowledge available to the Slicer, NAC, and NA-MIC communities. This knowledge often takes the form of a hierarchy or ontology. Ontologies are available to represent a large range of biological knowledge, but they are often large and difficult to use by medical imaging researchers.

Lookup tables

In Slicer, the simplest and most widespread application of medicine-specific knowledge are the color lookup tables (LUT) that Slicer uses to map the integer values contained in label map images into structure names and colors. We have begun to use this wiki as both a centralized repository for lookup table information as well as a collaborative tool for creating new mappings. The following wiki pages are in a special format that allows conversion into Slicer lookup tables.

Converting wiki pages to and from LUTs

Web-based tools that convert between wiki and Slicer color files can be found at http://labelpage.halle.us/

Link to Lut pages

LUTs for Slicer4

LUTs for Slicer 3.6

Custom LUTs

Brain Atlas LUTs

  • 2010 Brain Atlas (Good example of the wiki-based labelpage format, including multiple tables.)

Ontologies and Slicer

Ontologies of anatomy such as RadLex and FMA information about many anatomic structures and rich relationships between them. We can use these ontologies to create or augment color lookup tables, form model hierarchies, interface to end-user tools such as QueryAtlas, and even drive segmentation algorithms. The CCA Core is creating simplified representations of these ontologies to make them more accessible to Slicer developers.

The CCA Core is also use local expertise in anatomy to define workable subsets of information for the SPL, Slicer, and NA-MIC communities. Florin Talos has drafted a simplified whole-body hierarchy that has in turn been augmented with FMA-derived details. Links to these works in progress can be found here.

Link to Ontology pages

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