Multicontext wavelet-based thresholding segmentation of brain tissues in magnetic resonance images.

@article{Zhou2007MulticontextWT,
  title={Multicontext wavelet-based thresholding segmentation of brain tissues in magnetic resonance images.},
  author={Zhenyu Zhou and Zongcai Ruan},
  journal={Magnetic resonance imaging},
  year={2007},
  volume={25 3},
  pages={
          381-5
        }
}

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References

SHOWING 1-10 OF 14 REFERENCES
Magnetic Resonance Image Tissue Classification Using a Partial Volume Model
TLDR
A sequence of low-level operations to isolate and classify brain tissue within T1-weighted magnetic resonance images (MRI) using a combination of anisotropic diffusion filtering, edge detection, and mathematical morphology is described.
A technique for single-channel MR brain tissue segmentation: application to a pediatric sample.
Nonlinear anisotropic filtering of MRI data
TLDR
In contrast to acquisition-based noise reduction methods a postprocess based on anisotropic diffusion is proposed, which overcomes the major drawbacks of conventional filter methods, namely the blurring of object boundaries and the suppression of fine structural details.
APPLICATION OF A NEW MEDICAL IMAGE SEGMENTATION METHOD BASED ON FUZZY CONNECTEDNESS AND FCM
TLDR
A two-stage interactive image segmentation method where the object with interest is extracted and a new image scene is constructed using fuzzy connectedness-based method to improve the accuracy of segmentation.
Characterization of Signals from Multiscale Edges
TLDR
The authors describe an algorithm that reconstructs a close approximation of 1-D and 2-D signals from their multiscale edges and shows that the evolution of wavelet local maxima across scales characterize the local shape of irregular structures.
Scale-Space and Edge Detection Using Anisotropic Diffusion
TLDR
A new definition of scale-space is suggested, and a class of algorithms used to realize a diffusion process is introduced, chosen to vary spatially in such a way as to encourage intra Region smoothing rather than interregion smoothing.
The young adult human brain: an MRI-based morphometric analysis.
TLDR
The results represent the first step in establishing a comprehensive database of morphometric parameters, with unexpected findings relative to brain symmetry and sexual dimorphism.
Singularity detection and processing with wavelets
TLDR
It is proven that the local maxima of the wavelet transform modulus detect the locations of irregular structures and provide numerical procedures to compute their Lipschitz exponents.
A wavelet tour of signal processing
...
...