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Abstract #3250

A 3D-printed anatomical multimodal phantom for brain segmentation validation

Anna Altermatt1,2, Francesco Santini1,3, Xeni Deligianni1,3, Stefano Magon2,4, Till Sprenger5, Ludwig Kappos1,4, Philippe Cattin1, Jens Wuerfel1,2, and Laura Gaetano2,4

1Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland, 2Medical Image Analysis Center (MIAC) AG, Basel, Switzerland, 3Department of Radiology, University Hospital of Basel, Basel, Switzerland, 4Department of Neurology, University Hospital of Basel, Basel, Switzerland, 5DKD HELIOS Klinik, Wiesbaden, Germany

Brain tissue segmentation algorithms applied on magnetic resonance imaging (MRI) data lack a ground truth for evaluating their performance. For this purpose, an anatomical brain phantom prototype mimicking T1 relaxation times and the complex 3D geometry of the human brain was created for use with MRI and computed tomography (CT). A scan-rescan experiment showed a low within-session variability of white matter (WM) and grey matter (GM) volumes when MRI images of the phantom were segmented with a commonly used software. Compared to the ground truth volumes derived from CT, the software overestimated the WM, while the GM was slightly underestimated.

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