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Abstract #0311

Co-registration of multi-parametric MRI and histology to study breast cancer Habitats in a preclinical model.

William Dominguez-Viqueira1, Bruna V Jardim-Perassi1,2, Mikalai Budzevich1, Epifanio Ruiz1, Suning Huang1, Pedro M Enriquez-Navas1, Jan Poleszczuk3, Debora A.P.C. Zuccari2, Robert J Gillies1, and Gary V Martinez1

1Department of Cancer Imaging and Metabolism, Moffitt Cancer Center, Tampa, FL, United States, 2Faculdade de Medicina de Sao Jose do Rio Preto, Sao Jose do Rio Preto, Brazil, 3Nalecz Institute of Biocybernetics and Biomedical Engineering, Warsaw, Poland

Different tumor micro-environments or habitats are discernible by MRI. In order study these; a co-registration framework was developed using 3D-printed tumor-molds created from in-vivo MRI images of five mice with implanted breast cancer tumors. The results of automated 3D-alignment of MRI images and histology slices are promising and encourage further experiments using the presented workflow. Tumor habitats clustering from multi-parametric MRI images showed encouraging results with similarities to the hypoxic pattern observed by immunohistochemistry. This work will help understanding MRI habitats to monitor cancer evolution as a means to aid treatment decisions in the future.

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