Shivaprasad Ashok Chikop1, Vimal Chandran2, Imam Shaik1, Rashmi Rao1, Mauricio Antonio Reyes Aguirre2, and Sairam Geethanath1
1Medical Imaging Research Center, Dayananda Sagar Institutions, Bangalore, India, 2Institute of Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland
The
step size of the parameters used for simulation of dictionary determines the
parameters being determined. Partial Least squares (PLS) can be used as a
general frame work for fast and robust dictionary matching. Regression co-efficient
matrix obtained from PLS can be used for localizing the different brain tissue
types thus avoiding iterative searching.
The increase in contrast between the grey matter and white matter can be
attributed to the intermediate values generated by PLS based matching. PLS
matches comparatively better at low SNR images compared to the straight forward
dot product method.
