Abstract #4255

Measuring Tumor Boundary Variability to Improve Automated Segmentation of Brain Tumors Using Multimodal MRI.

Edgar A. Rios Piedra^1,2, Benjamin M. Ellingson^1,2, Suzie El-Saden^1,2, Ricky K. Taira^1,2, Alex A. T. Bui^1,2, and William Hsu^1,2

¹Department of Radiological Sciences, David Geffen School of Medicine., University of California, Los Angeles, Los Angeles, CA, United States, ²Department of Bioengineering, David Geffen School of Medicine., University of California, Los Angeles, Los Angeles, CA, United States

We present an automated brain tumor segmentation framework to measure the variability associated to the tumor boundary that is observed on multimodal MRI; this is a vital task to accomplish as quantitative and automated tumor measurements and assessment become the standard in neuro-oncology for disease diagnosis, treatment planning, and clinical monitoring.

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