Literature DB >> 17272024

Comparison study of clinical 3D MRI brain segmentation evaluation.

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


  2 in total

1.  Real-time segmentation by Active Geometric Functions.

Authors:  Qi Duan; Elsa D Angelini; Andrew F Laine
Journal:  Comput Methods Programs Biomed       Date:  2009-10-02       Impact factor: 5.428

2.  Quantitative and qualitative assessment of structural magnetic resonance imaging data in a two-center study.

Authors:  Sima Chalavi; Andrew Simmons; Hildebrand Dijkstra; Gareth J Barker; A A T Simone Reinders
Journal:  BMC Med Imaging       Date:  2012-08-06       Impact factor: 1.930

  2 in total

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