Abstract #1168

Basic MR sequence parameters systematically bias automated brain volume estimation

Sven Haller^1,2,3,4, Pavel Falkovskiy^5,6,7, Reto Meuli⁶, Jean-Philippe Thiran⁷, Gunnar Krueger⁸, Karl-Olof Lovblad^1,9, Alexis Roche^5,6,7, Tobias Kober^5,6,7, and Bénédicte Maréchal^5,6,7

¹Faculty of Medicine of the University of Geneva, Geneva, Switzerland, ²Affidea Centre de Diagnostique Radiologique de Carouge CDRC, Geneva, Switzerland, ³Department of Surgical Sciences, Radiology, Uppsala University, Uppsala, Sweden, ⁴Department of Neuroradiology, University Hospital Freiburg, Freiburg, Germany, ⁵Advanced Clinical Imaging Technology (HC CMEA SUI DI BM PI), Siemens Healthcare AG, Lausanne, Switzerland, ⁶Department of Radiology, University Hospital (CHUV), Lausanne, Switzerland, ⁷LTS5, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, ⁸Siemens Medical Solutions USA, Inc., Boston, ME, United States, ⁹University Hospitals of Geneva, Geneva, Switzerland

Standard MR parameters, notably spatial resolution, contrast and image filtering, systematically bias results of automated brain MRI morphometry by up to 4.8%. This is in the same range as early disease-related brain volume alterations, for example in Alzheimer's disease. Automated brain segmentation software packages should therefore require strict MR parameter selection or include compensatory algorithms to avoid MR-parameter-related bias of brain morphometry results.

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