| Literature DB >> 17272024 |
Ting Song1, Elsa Angelini, Brett Mensh, Andrew Laine.
Abstract
Although numerous methods to segment brain MRI for extraction of white matter, gray matter and cerebrospinal fluid (CSF) have been proposed for the past two decades, little work has been done to evaluate and compare the performance of different segmentation methods on real clinical data sets, especially for CSF. This study focuses on the comparison of the four following methods for segmentation of cerebral brain MRI: gray levels thresholding, three-dimensional level set, fuzzy connectedness and FSL. Quantitative evaluation of segmentation accuracy was performed with comparison to manual segmentation on a database of 10 adult subjects.Entities:
Year: 2004 PMID: 17272024 DOI: 10.1109/IEMBS.2004.1403504
Source DB: PubMed Journal: Conf Proc IEEE Eng Med Biol Soc ISSN: 1557-170X