KEYWORDS: Image segmentation, Brain, Image registration, Neuroimaging, Image processing algorithms and systems, Tissues, Image processing, Medical imaging, Cerebellum, Signal to noise ratio
In biological image processing the segmentation of a volume is, although tedious, required for many applications, like the comparison of structures and annotation purposes. To automate this process, we present a segmentation method for various structures of the mouse brain. The segmentation consists of two parts; first a rough affine atlas-based registration was performed and second, the edges between structures were refined by an adapted Markov random field clustering approach. The segmentations results were compared to manual segmentations from two experts. The presented automatic segmentation method is quick, intuitive and suitable for registration purposes, but also for biological objectives, like comparison and annotation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.