Title :
On Geometric Modeling of the Human Intracranial Venous System
Author :
Volkau, Ihar ; Ng, Ting Ting ; Marchenko, Yevgen ; Nowinski, Wieslaw L.
Author_Institution :
Biomed. Imaging Lab., Agency for Sci., Technol. & Res., Singapore
fDate :
6/1/2008 12:00:00 AM
Abstract :
We describe a process aiming to construct a 3-D geometric model of the human normal intracranial venous system from MRA data. An analysis of geometric properties of the intracranial veins and sinuses results in proposing three models: circular, elliptic, and free-shape. We formulate a rule based on which a suitable geometric venous model can be selected. The cross-sectional shape of different parts of dural venous sinuses is found to be better approximated by ellipses and free shapes, while for veins the circular and elliptic models are comparable. An analysis of using splines for radii smoothing is also provided. The approach is useful for building venous models in education and clinical applications.
Keywords :
biomedical MRI; biomedical education; blood vessels; brain; image representation; medical image processing; physiological models; smoothing methods; solid modelling; splines (mathematics); 3-D geometric modeling; MRA data; circular models; cross-sectional shape; dural venous sinuses; elliptic models; free-shape models; geometric representation; human intracranial venous system; intracranial sinuses; magnetic resonance angiography; medical education; radii smoothing; splines; Dural venous sinuses; geometric modeling; intracranial veins; Algorithms; Cerebral Angiography; Cerebral Veins; Computer Simulation; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Magnetic Resonance Angiography; Models, Anatomic; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Medical Imaging, IEEE Transactions on
DOI :
10.1109/TMI.2007.911004
