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Abstract #1984

Reproducibility Study of a Longitudinal Pipeline for Brain Volumetry based on Partial Volume Estimation

Ricardo A. Corredor-Jerez1,2,3, Mário João Fartaria1,2,3, Adrian Tsang4, Robert Bermel5, Stephen E. Jones5, Izlem Izbudak6, Ellen M Mowry6, Yvonne W. Lui7, Lauren Krupp7, Elizabeth Fisher4, Tobias Kober1,2,3, and Bénédicte Maréchal1,2,3

1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, Switzerland, 3Signal Processing Laboratory (LTS 5), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4Biogen, Cambridge, MA, United States, 5Cleveland Clinic, Cleveland, OH, United States, 6Johns Hopkins University, Baltimore, MD, United States, 7New York University, New York, NY, United States

A reliable and accurate quantification of brain tissue loss is important to measure progressive atrophy caused by neurological diseases such as multiple sclerosis. However, accuracy and reproducibility of current methods are often limited by partial volume effects, especially at tissue interfaces where subtle atrophy patterns are likely to occur. We propose a longitudinal pipeline for brain tissue segmentation incorporating partial volume estimation to increase longitudinal robustness. Results show an increase in reproducibility of 44% compared to methods not including partial volume effects in volume estimation, suggesting that these effects should be taken into account for longitudinal atrophy measurements.

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