Abstract #3250

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

Anna Altermatt^1,2, Francesco Santini^1,3, Xeni Deligianni^1,3, Stefano Magon^2,4, Till Sprenger⁵, Ludwig Kappos^1,4, Philippe Cattin¹, Jens Wuerfel^1,2, and Laura Gaetano^2,4

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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