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Abstract #0290

Towards Characterization of the Cerebral Venous Vessel Network using QSM: Extraction of Vessel Radii and Lengths

Barthlemy Serres 1 , Andreas Deistung 1 , Andreas Schfer 2 , Marek Kocinski 3 , Andrzej Materka 3 , and Jrgen Reichenbach 1

1 Medical Physics Group, Institute for Diagnosis and Interventional Radiology, University Hospital Jena - Friedrich Schiller University Jena, Jena, Germany, 2 Max Plank Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3 University of Lodz, Lodz, Poland

Characterizing the brain venous network with quantitative data is mandatory for radiologists to better diagnose and plan surgical interventions. The venous blood vessels can be depicted in high-spatial detail and accuracy with quantitative susceptibility maps with MR Imaging1. This technique grants access to the whole brain venous network. But, the characterization of the topology of this vessels network is the first step toward providing novel computer aided-tools which could be able to automatically analyze the venous network and detects abnormalities. In this contribution, we are relying on our previous work of susceptibility maps segmentation to present an approach for quantifying the cerebral venous vessel network from QSM Images

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