Automatic brain volume estimation and 3-D visualization using Quadratic Volterra Filters

Automatic approximations of brain volumes are very useful in various researches and clinical practises. The conventional hand tracing is time consuming and the level of accuracy depends on the individual. The present work aims at the automatic estimation of brain volume and 3-D visualization using VTK in a pythonic environment after the edge enhancement and unsharp masking by quadratic filters for more accurate estimation of the boundaries and the confined volume. Designing an edge detector using Quadratic Volterra Filters that provides high degree of noise invulnerability and edge crispness is the key feature of this work. The performance comparison between the various non linear edge detectors and edge detection based on Quadratic Volterra filter is done.