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Abstract #1168

Basic MR sequence parameters systematically bias automated brain volume estimation

Sven Haller1,2,3,4, Pavel Falkovskiy5,6,7, Reto Meuli6, Jean-Philippe Thiran7, Gunnar Krueger8, Karl-Olof Lovblad1,9, Alexis Roche5,6,7, Tobias Kober5,6,7, and Bénédicte Maréchal5,6,7

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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