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Abstract #3394

Impact of processing options on histogram metrics extraction from DWI in cerebral small vessel disease

Ana Fouto1, Rita G. Nunes1, Joana Pinto1, Luísa Alves2,3, Sofia Calado2,3, Carina Gonçalves2,3, Margarida Rebolo4, Miguel Viana Baptista2,3, Pedro Vilela5, and Patrícia Figueiredo1

1Department of Bioengineering, ISR-Lisboa/LARSyS, Instituto Superior Técnico - Universidade de Lisboa, Lisbon, Portugal, 2Neurology Department, Hospital Egas Moniz, Centro Hospitalar de Lisboa Ocidental, Lisbon, Portugal, 3CEDOC - Nova Medical School, New University of Lisbon, Lisbon, Portugal, 4Faculdade de Medicina, Universidade de Lisboa, Lisbon, Portugal, 5Imaging Department, Hospital da Luz, Lisbon, Portugal

Biomarkers based on diffusion-weighted imaging (DWI) have been proposed as potential disease biomarkers in several brain conditions including cerebral small vessel disease (SVD). Often histogram-based metrics are extracted, but findings across studies are somehow inconsistent. Here, we investigated the impact of several processing options for extracting histogram metrics of fractional anisotropy (FA) and mean diffusivity (MD) from DWI. We considered two white matter regions-of-interest with different interpolation and thresholding options, as well as different numbers of bins. We found that processing options significantly impacted histogram metrics, which in some cases significantly affects the ability to discriminate between patient and controls.

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