Abstract
This paper presents a fully automated segmentation method for extracting a variety of anatomical structures in magnetic resonance images (MRI). We have developed a segmentation system where maximum use is made of the available medical expertise, either in the form of implicit knowledge or of explicit information. A series of deformable templates (simplex meshes), initialized via the non-linear registration of a reference segmented MRI, are evolved in a rule-controlled framework and subject to various constraints, so as to maximize the achieved match over the target structures. Segmentation results on brain MRIs are discussed and compared against manual delineations.
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Pitiot, A., Delingette, H., Ayache, N., Thompson, P.M. (2003). Expert Knowledge Guided Segmentation System for Brain MRI. In: Ellis, R.E., Peters, T.M. (eds) Medical Image Computing and Computer-Assisted Intervention - MICCAI 2003. MICCAI 2003. Lecture Notes in Computer Science, vol 2879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39903-2_79
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DOI: https://doi.org/10.1007/978-3-540-39903-2_79
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20464-0
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