@inproceedings{d42d68a2b8dd4b18a6546a1cc98a428b,
title = "Quantitation of vessel morphology from 3D MRA",
abstract = "Three dimensional magnetic resonance angiographic images (3D MRA) are routinely inspected using maximum intensity projections (MIP). However, accuracy of stenosis estimates based on projections is limited. Therefore, a method for quantitative 3D MRA is introduced. Linear vessel segments are modeled with a central vessel axis curve coupled to a vessel wall surface. First, the central vessel axis is determined. Subsequently, the vessel wall is segmented using knowledge of the acquisition process. The user interaction to initialize the model is performed in a 3D setting. The method is validated on a carotid bifurcation phantom and also illustrated on patient data.",
author = "Frangi, {A. F.} and Niessen, {W. J.} and Hoogeveen, {R. M.} and {Van Walsum}, Th and Viergever, {M. A.}",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 1999.; 2nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1999 ; Conference date: 19-09-1999 Through 22-09-1999",
year = "1999",
doi = "10.1007/10704282_39",
language = "English",
isbn = "354066503X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag Italia",
pages = "358--368",
editor = "Chris Taylor and Alain Colchester",
booktitle = "Medical Image Computing and Computer-Assisted Intervention –MICCAI 1999 - 2nd International Conference, Proceedings",
address = "Italy",
}