Copyright
©2014 Baishideng Publishing Group Inc.
World J Radiol. Nov 28, 2014; 6(11): 855-864
Published online Nov 28, 2014. doi: 10.4329/wjr.v6.i11.855
Published online Nov 28, 2014. doi: 10.4329/wjr.v6.i11.855
Figure 3 Sampling and material dependent noise models.
Sampling noise model assumes that each tissue type is represented by a single average value and Gaussian-distributed noise is then added. Material dependent noise model assumes that the tissue types are represented by random variables. CSF: Cerebro-spinal fluid; GM: Gray matter; WM: White matter.
- Citation: Tohka J. Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review. World J Radiol 2014; 6(11): 855-864
- URL: https://www.wjgnet.com/1949-8470/full/v6/i11/855.htm
- DOI: https://dx.doi.org/10.4329/wjr.v6.i11.855