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Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review
2014
World Journal of Radiology
Running title Partial volume segmentation in brain MRI Abstract Quantitative analysis of magnetic resonance (MR) brain images are facilitated by the development of automated segmentation algorithms. A single image voxel may contain of several types of tissues due to the finite spatial resolution of the imaging device. This phenomenon, termed partial volume effect (PVE), complicates the segmentation process, and, due to the complexity of human brain anatomy, the PVE is an important factor for an
doi:10.4329/wjr.v6.i11.855
pmid:25431640
pmcid:PMC4241492
fatcat:kw6hfhyamjhrta6pczwi2pyive