Automated Tumor Segmentation and Brain Tissue Extraction from Multiparametric MRI of Pediatric Brain Tumors: A Multi-institutional Study

Neuro-Oncology Advances

March 16, 2023

Anahita Fathi Kazerooni, Sherjeel Arif, Rachel Madhogarhia, Nastaran Khalili, Debanjan Haldar, Sina Bagheri, Ariana M Familiar, Hannah Anderson, Shuvanjan Haldar, Wenxin Tu, Meen Chul Kim, Karthik Viswanathan, Sabine Muller, Michael Prados, Cassie Kline, Lorenna Vidal, Mariam Aboian, Phillip B Storm, Adam C Resnick, Jeffrey B Ware, Arastoo Vossough, Christos Davatzikos, Ali Nabavizadeh

Summary

Brain tumors are the most common solid tumors and the leading cause of cancer-related death among all childhood cancers. Tumor segmentation is essential in surgical and treatment planning, and response assessment and monitoring. However, manual segmentation is time-consuming and has high interoperator variability. We present a multi-institutional deep learning-based method for automated brain extraction and segmentation of pediatric brain tumors based on multi-parametric MRI scans.

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