  There is a growing interest to get a fully MR based radiotherapy. The most
important development needed is to obtain improved bone tissue estimation. The
existing model-based methods perform poorly on bone tissues. This paper was
aimed at obtaining improved bone tissue estimation. Skew Gaussian mixture model
and Gaussian mixture model were proposed to investigate CT image estimation
from MR images by partitioning the data into two major tissue types. The
performance of the proposed models was evaluated using leave-one-out
cross-validation method on real data. In comparison with the existing
model-based approaches, the model-based partitioning approach outperformed in
bone tissue estimation, especially in dense bone tissue estimation.
