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Abstract #3744

Challenges of 3D printing from MRI data: Our Experience with a Kidney Tumor Model

Nicole Wake 1,2 , William Huang 3 , Todd Pietila 4 , and Hersh Chandarana 1

1 The Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, New York, United States, 2 The Sackler Institute of Graduate Biomedical Sciences, New York University School of Medicine, New York, New York, United States, 3 Department of Urology, New York University School of Medicine, New York, New York, United States, 4 Materialise USA, Plymouth, Michigan, United States

Soft tissue three-dimensional (3D) printing from magnetic resonance (MR) imaging data is feasible, but implementation is challenging and time consuming. We performed 3D segmentation of an abdominal MR dataset and created a high-fidelity, life-sized 3D model of a kidney and in-situ renal tumor for pre-operative surgical planning. The 3D model provided additional information to the attending surgeon that influenced surgical planning and allowed real-time changes to be applied during the operative procedure.

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