|Author||Rajan, Jeny ♦ Kannan, K. ♦ Kesavadas, C. ♦ Thomas, Bejoy|
|Source||Sree Chitra Tirunal Institute for Medical Sciences & Technology|
|Publisher||Computerized Medical Imaging and Graphics|
|Subject Domain (in DDC)||Technology ♦ Medicine & health ♦ Diseases|
|Subject Domain (in MeSH)||Nervous System Diseases ♦ Diseases ♦ Diagnosis ♦ Analytical, Diagnostic and Therapeutic Techniques and Equipment|
|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. (C) 2009 Elsevier Ltd. All rights reserved.|
|Education Level||UG and PG|
|Learning Resource Type||Article|
|Educational Framework||Medical Council of India (MCI)|
|Journal||COMPUTERIZED MEDICAL IMAGING AND GRAPHICS|
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