Abstract
We present an extremely fast method named FAST-PVE for tissue classification and partial volume estimation of 3-D brain magnetic resonance images (MRI) using a Markov Random Field (MRF) based spatial prior. The tissue classification problem is central to most brain MRI analysis pipelines and therefore solving it accurately and fast is important. The FAST-PVE method is experimentally confirmed to tissue classify a standard MR image in under 10 seconds with the quantitative accuracy similar to other state of art methods. A key component of the FAST-PVE method is the fast ICM algorithm, which is generally applicable to any MRF-based segmentation method, and formally proven to produce the same segmentation result as the standard ICM algorithm.
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Tohka, J. (2013). FAST-PVE: Extremely Fast Markov Random Field Based Brain MRI Tissue Classification. In: Kämäräinen, JK., Koskela, M. (eds) Image Analysis. SCIA 2013. Lecture Notes in Computer Science, vol 7944. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38886-6_26
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DOI: https://doi.org/10.1007/978-3-642-38886-6_26
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