Literature DB >> 15862645

Quantification of multiple sclerosis lesion load and brain tissue volumetry using multiparameter MRI: methodology and reproducibility.

Zhaohua Ding1, Jana Preiningerova, Christopher J Cannistraci, Timothy L Vollmer, John C Gore, Adam W Anderson.   

Abstract

Quantitative characterization of multiple sclerosis (MS) lesion load is of considerable interest to clinical follow-up studies. Based on fuzzy clustering of multiparameter magnetic resonance images, we have developed a computer-assisted system for volumetric quantification of brain tissue. Tests on patient data show that the system is very efficient, and volumetric measurements characterized are highly reproducible. The high reproducibility and efficiency offer the potential of routine laboratory and clinical use for quantification of MS lesion load.

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Year:  2005        PMID: 15862645     DOI: 10.1016/j.mri.2004.12.005

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  3 in total

1.  Volume and shape in feature space on adaptive FCM in MRI segmentation.

Authors:  Renjie He; Balasrinivasa Rao Sajja; Sushmita Datta; Ponnada A Narayana
Journal:  Ann Biomed Eng       Date:  2008-06-24       Impact factor: 3.934

2.  Generalized fuzzy clustering for segmentation of multi-spectral magnetic resonance images.

Authors:  Renjie He; Sushmita Datta; Balasrinivasa Rao Sajja; Ponnada A Narayana
Journal:  Comput Med Imaging Graph       Date:  2008-04-02       Impact factor: 4.790

3.  Lesion Volume Quantification Using Two Convolutional Neural Networks in MRIs of Multiple Sclerosis Patients.

Authors:  Marcela de Oliveira; Marina Piacenti-Silva; Fernando Coronetti Gomes da Rocha; Jorge Manuel Santos; Jaime Dos Santos Cardoso; Paulo Noronha Lisboa-Filho
Journal:  Diagnostics (Basel)       Date:  2022-01-18
  3 in total

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