Abstract
We describe an image processing chain that is capable of identifying sulci and gyri in MRI brain slices. Contrary to current interactive map fitting schemes it tries to simulate a radiologist’s way of image analysis — a process we call image understanding by landmark detection. In a nutshell, we detect the entry points of the neocortical sulci by an automated procedure. These entry points are identified as belonging to a specific sulcus by comparison with an anatomical database. From these landmarks a further analysis of the surrounding region can be performed. This algorithm is used for an anatomical mapping facility in a multimodal image editor for medical volume datasets.
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© 1995 Springer-Verlag Berlin Heidelberg
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Kruggel, F. (1995). Automatical Adaption of Anatomical Masks to the Neocortex. 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_26
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DOI: https://doi.org/10.1007/978-3-540-49197-2_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-59120-7
Online ISBN: 978-3-540-49197-2
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