Abstract
Beyond visualization of 3D MR-Angiography, further analysis has been carried out to obtain vascular shape in an anatomically-relevant generalized cone expression, which is suitable for the purpose of surgical simulation. Methods of mathematical morphology were employed for quantitative vascular shape analysis and processing in 3D binary and grayscale data. As a quantitative descriptor of global and local vascular shape, pattern spectrum was applied to detect abnormal vascular shapes like aneurysm and stricture. And 3D methods of radii estimation and thinning were carried out to reconstruct the vasculature. These analysis and processing procedures were examined using phantoms and clinical MRA data.
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© 1995 Springer-Verlag Berlin Heidelberg
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Masutani, Y., Kurihara, T., Suzuki, M., Dohi, T. (1995). Quantitative Vascular Shape Analysis for 3D MR-Angiography Using Mathematical Morphology. In: Ayache, N. (eds) Computer Vision, Virtual Reality and Robotics in Medicine. CVRMed 1995. Lecture Notes in Computer Science, vol 905. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-49197-2_58
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DOI: https://doi.org/10.1007/978-3-540-49197-2_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59120-7
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