Knowledge of intracranial vessel morphology may be important in predicting the risk of acute ischemic stroke. The three-dimensional nature of the vessels would make it challenging to measure vessels' segmental lengths, unless a software tool dedicated to the purpose is available. The goal of this study is to develop a customized graphical user interface that facilitates users' measurement of intracranial vessel tortuosity in an easy and interactive manner. Using the proposed tool, vessel branch lengths and vessel tortuosity data were collected from 11 proximal vessel segments (e.g., middle cerebral artery, anterior cerebral artery) of 532 subjects.
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