Literature DB >> 19560319

Focal Cortical Dysplasia (FCD) lesion analysis with complex diffusion approach.

Jeny Rajan1, K Kannan, C Kesavadas, Bejoy Thomas.   

Abstract

Identification of Focal Cortical Dysplasia (FCD) can be difficult due to the subtle MRI changes. Though sequences like FLAIR (fluid attenuated inversion recovery) can detect a large majority of these lesions, there are smaller lesions without signal changes that can easily go unnoticed by the naked eye. The aim of this study is to improve the visibility of focal cortical dysplasia lesions in the T1 weighted brain MRI images. In the proposed method, we used a complex diffusion based approach for calculating the FCD affected areas. Based on the diffused image and thickness map, a complex map is created. From this complex map; FCD areas can be easily identified. MRI brains of 48 subjects selected by neuroradiologists were given to computer scientists who developed the complex map for identifying the cortical dysplasia. The scientists were blinded to the MRI interpretation result of the neuroradiologist. The FCD could be identified in all the patients in whom surgery was done, however three patients had false positive lesions. More lesions were identified in patients in whom surgery was not performed and lesions were seen in few of the controls. These were considered as false positive. This computer aided detection technique using complex diffusion approach can help detect focal cortical dysplasia in patients with epilepsy.

Entities:  

Mesh:

Year:  2009        PMID: 19560319     DOI: 10.1016/j.compmedimag.2009.05.004

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  3 in total

1.  Sulcus-based MR analysis of focal cortical dysplasia located in the central region.

Authors:  Pauline Roca; Charles Mellerio; Francine Chassoux; Denis Rivière; Arnaud Cachia; Sylvain Charron; Stéphanie Lion; Jean-François Mangin; Bertrand Devaux; Jean-François Meder; Catherine Oppenheim
Journal:  PLoS One       Date:  2015-03-30       Impact factor: 3.240

2.  Local Directional Probability Optimization for Quantification of Blurred Gray/White Matter Junction in Magnetic Resonance Image.

Authors:  Xiaoxia Qu; Jian Yang; Danni Ai; Hong Song; Luosha Zhang; Yongtian Wang; Tingzhu Bai; Wilfried Philips
Journal:  Front Comput Neurosci       Date:  2017-09-12       Impact factor: 2.380

3.  Positive Unanimous Voting Algorithm for Focal Cortical Dysplasia Detection on Magnetic Resonance Image.

Authors:  Xiaoxia Qu; Jian Yang; Shaodong Ma; Tingzhu Bai; Wilfried Philips
Journal:  Front Comput Neurosci       Date:  2016-03-29       Impact factor: 2.380

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.