Segmentation of Bones Using MRI


Authors : Abhishek Kumar K, Nagaraja Hebbar N, Jaison Dsouza, Kavya, Manoja Kumara

Volume/Issue : Volume 5 - 2020, Issue 4 - April

Google Scholar : https://gg.gg/DF9R4u 564

Scribd : https://bit.ly/3ggGGek

Segmenting bone tissue automatically in Magnetic Resonance Imaging(MRI) scans is difficult for low signal-to-noise ratios, lack of consistency in lighting conditions is very high, and variability within bone cells in the scanned images. Current methods available are either it is partially automatic system or depends on databases of prior manually segmentation result. Fast and accurate segmentation of knee structures from MRI is essential for clinical feasibility of these techniques. However, manually segmenting bone tissue is time consuming. The main objective is to first design a system for automatic segmentation of bone structures for MRI data with a bilateral filtering and clustering based methods.

Keywords : Segmentation, Bilateral filtering, K-means, Fuzzy C-means, MRI.

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