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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