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Abstract #1812

Assessing the utility of low-resolution images for Hydrocephalus treatment planning

Joshua Harper1, Venkateswararao Cherukuri2, Tom O'Reilly3, Mingzhao Yu2, Edith Mbabazi-Kabachelor4, Roland Mulando4, Kevin N. Sheth5, Andrew G. Webb3, Benjami C. Warf6, Abhaya V. Kulkarni7, Vishal Monga2, and Steven J. Schiff2
1Engineering Science, Penn State University, State College, PA, United States, 2Penn State University, University Park, PA, United States, 3Leiden University Medical Center, Leiden, Netherlands, 4The CURE Children's Hospital of Uganda, Mbale, Uganda, 5Yale, New Haven, CT, United States, 6Boston Children's Hospital, Harvard Medical School, Boston, MA, United States, 7University of Toronto, Toronto, ON, Canada


Brain images of a quality lower than is conventionally acceptable may still be useful for planning hydrocephalus treatment. Low-field MRI is a technology of growing global interest which has the capability of producing images of sufficient quality for treatment planning and is affordable enough to disseminate to rural regions of the world. Though deep learning enhancement of low-quality images does improve CNR and apparent quality, spatial errors of brain and CSF after enhanced reconstruction add significant risk to treatment management and should be avoided.

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