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-Perassi^1,2, 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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