Imaging Radiobiology Laboratory

Image Analysis and Quantitation

RT_Image  Segmented microPET dataset  3D rendering of a small animal radiotherapy plan

In order to accomplish our goals we have invested great effort in engineering software for image visualization and analysis. The application we have designed, RT_Image, is a full-featured application for the visualization and quantitation of a variety of medical images. RT_Image is written in the Interactive Data Language (IDL) and is open source, allowing developers to easily add functionality and freely distribute the software. To date, RT_Image has been applied towards segmenting clinical PET images in order to extract prognostic information and quantitating multimodality small animal imaging data, including CT, MRI, PET, and optical images. Currently this code framework is being used to develop the treatment planning interface for the small animal radiotherapy system described above. This program is designed to streamline data analysis and expedite development of new quantitative methods.

Current research projects in this area include:

  • Development of novel PET segmentation methods for radiotherapy target volume definition
  • Development of interfaces for volume image visualization, registration, and 3D ROI analysis
  • Implementation of small animal radiotherapy treatment planning and dose calculation tools within RT_Image

Recent publications:

PET/CT image fusion and region-of-interest analysis in RT_Image
Region-of-interest analysis

Fitting T1 from preclinical inversion recovery MRI data in RT_Image
T1 fitting

Development of automated methods to segment subcutaneous tumors
T1 fitting

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