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The team « Quantitative multimodality imaging for diagnosis and therapy » within the INSERM U650 Medical Information Processing Laboratory (LaTIM)  has a strong record in developing innovative, rigorously validated, robust and accurate automated methodologies dedicated to Positron Emission Tomography (PET) images processing and quantification (see publications).

PET Quantif” is a software package under license (see software) allowing for state-of-the-art qualitative and quantitative improvement as well as automated quantification of PET images for applications such as diagnosis, staging, therapy monitoring and patient’s follow-up in oncology, or gross target volumes delineation for dose boosting or dose painting in radiotherapy treatment planning.

The methodologies developed in our team are dedicated to:

  1. Denoising using combination of wavelets and curvelets in order to suppress the noise without altering the crucial information contained in the images.

  2. Deconvolution using iterative Lucy-Richardson algorithm improved by denoising for a robust and improved resolution recovery without significant noise addition

  3. Automatic metabolically active tumor volumes (MATV) delineation for quick, robust and accurate full characterization and quantification of tumors (extracting maximum, peak and mean standardized uptake values as well as associated total lesion glycolysis) or radiotherapy target definition (tumor volumes and sub-volumes).

“PET Quantif” allows using any of these three approaches independently or in combination (see examples) for specific clinical and research collaborative projects (see collaborators).

Future developments include the capacity to characterize intra tumor uptake heterogeneity using textural features.