Literature DB >> 14617425

Advanced MRI analysis methods for detection of focal cortical dysplasia.

Andrea Bernasconi1.   

Abstract

In many patients, lesions of focal cortical dysplasia (FCD) may go unrecognized by standard radiological analysis. This is due to the fact that identification of many of these malformations on visual inspection of conventional MRI is difficult due to their subtlety and the complexity of the brain's convolutions. Quantitative MR image processing methods have the potential to help identify lesions that may be overlooked by conventional radiological evaluation. To increase the sensitivity of MRI for the detection of subtle lesions of FCD, we recently developed voxel-based image post-processing methods, including first-order texture analysis and morphological processing modeled on known MRI features of FCD. Using these methods we were able to increase the sensitivity over conventional MRI analysis by more than 30%, while maintaining a high degree of reliability. The image processing methods we developed improve visual detection of FCD, even in cases where no lesion is obvious on MRI. Therefore, these techniques could allow a more precise evaluation of patients with partial epilepsy who could benefit from surgery. Copyright John Libbey Eurotext 2003.

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Mesh:

Year:  2003        PMID: 14617425

Source DB:  PubMed          Journal:  Epileptic Disord        ISSN: 1294-9361            Impact factor:   1.819


  6 in total

1.  Radiomics: a new application from established techniques.

Authors:  Vishwa Parekh; Michael A Jacobs
Journal:  Expert Rev Precis Med Drug Dev       Date:  2016-03-31

2.  Automated lesion detection on MRI scans using combined unsupervised and supervised methods.

Authors:  Dazhou Guo; Julius Fridriksson; Paul Fillmore; Christopher Rorden; Hongkai Yu; Kang Zheng; Song Wang
Journal:  BMC Med Imaging       Date:  2015-10-30       Impact factor: 1.930

3.  (1)H MR spectroscopic imaging in patients with MRI-negative extratemporal epilepsy: correlation with ictal onset zone and histopathology.

Authors:  Pavel Krsek; Milan Hajek; Monika Dezortova; Filip Jiru; Antonin Skoch; Petr Marusic; Josef Zamecnik; Martin Kyncl; Michal Tichy; Vladimir Komarek
Journal:  Eur Radiol       Date:  2007-03-06       Impact factor: 7.034

4.  Role of neuroimaging in the presurgical evaluation of epilepsy.

Authors:  Tim Wehner; Hans Lüders
Journal:  J Clin Neurol       Date:  2008-03-20       Impact factor: 3.077

5.  Clinical Value of Machine Learning in the Automated Detection of Focal Cortical Dysplasia Using Quantitative Multimodal Surface-Based Features.

Authors:  Jia-Jie Mo; Jian-Guo Zhang; Wen-Ling Li; Chao Chen; Na-Jing Zhou; Wen-Han Hu; Chao Zhang; Yao Wang; Xiu Wang; Chang Liu; Bao-Tian Zhao; Jun-Jian Zhou; Kai Zhang
Journal:  Front Neurosci       Date:  2019-01-11       Impact factor: 4.677

6.  Lesion identification using unified segmentation-normalisation models and fuzzy clustering.

Authors:  Mohamed L Seghier; Anil Ramlackhansingh; Jenny Crinion; Alexander P Leff; Cathy J Price
Journal:  Neuroimage       Date:  2008-03-28       Impact factor: 6.556

  6 in total

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