In this project, our goal is automatic disease quantification from whole-body PET/CT images. Again, AAR will be the image analysis engine used to localize major organs, body regions, and lymph node stations. After object localization, disease burden as indicated by PET alone or jointly with CT will be quantified within the object.
References:
1. Tong Y, Udupa JK, Odhner D, Wu C, Schuster SJ, Torigian DA. Disease quantification on PET/CT images without explicit object delineation. Med Image Anal. 2019;51:169-83. doi: 10.1016/j.media.2018.11.002. PubMed PMID: 30453165.
2. Xu G, Udupa JK, Tong Y, Odhner D, Cao H, Torigian DA. AAR-LN-DQ: Automatic anatomy recognition based disease quantification in thoracic lymph node zones via FDG PET/CT images without Nodal Delineation. Med Phys. 2020;47(8):3467-84. doi: 10.1002/mp.14240. PubMed PMID: 32418221.