Computer aided FCD lesion detection based on T1 MRI data
- Author
- Xiaoxia Qu (UGent) , Ljiljana Platisa (UGent) , Bart Goossens (UGent) , Tingzhu Bai, Karel Deblaere (UGent) and Wilfried Philips (UGent)
- Organization
- Abstract
- Focal cortical dysplasia (FCD) is a frequent cause of epilepsy and can be detected using brain magnetic resonance imaging (MRI). The FCD lesions in MRI images are characterized by blurring of the gray matter/white matter (GM/WM) junction, cortical thickening and hyper-intensity signal within lesional region compared with other cortical regions. However, detecting FCD lesions by means of visual inspection can be a very difficult task for radiologists because the lesions are very subtle. To assist physicians in detecting the FCD lesions more efficiently and reduce the false positive regions resulted from the existing methods, we propose an algorithm for automated FCD detection based on T1 MRI data.
- Keywords
- MRI, classification., detection, FCD
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-6847765
- MLA
- Qu, Xiaoxia, et al. “Computer Aided FCD Lesion Detection Based on T1 MRI Data.” Medical Image Perception Conference XVI, Abstracts, Medical Image Perception Society, 2015.
- APA
- Qu, X., Platisa, L., Goossens, B., Bai, T., Deblaere, K., & Philips, W. (2015). Computer aided FCD lesion detection based on T1 MRI data. Medical Image Perception Conference XVI, Abstracts. Presented at the Medical Image Perception Conference XVI, Ghent, Belgium.
- Chicago author-date
- Qu, Xiaoxia, Ljiljana Platisa, Bart Goossens, Tingzhu Bai, Karel Deblaere, and Wilfried Philips. 2015. “Computer Aided FCD Lesion Detection Based on T1 MRI Data.” In Medical Image Perception Conference XVI, Abstracts. Medical Image Perception Society.
- Chicago author-date (all authors)
- Qu, Xiaoxia, Ljiljana Platisa, Bart Goossens, Tingzhu Bai, Karel Deblaere, and Wilfried Philips. 2015. “Computer Aided FCD Lesion Detection Based on T1 MRI Data.” In Medical Image Perception Conference XVI, Abstracts. Medical Image Perception Society.
- Vancouver
- 1.Qu X, Platisa L, Goossens B, Bai T, Deblaere K, Philips W. Computer aided FCD lesion detection based on T1 MRI data. In: Medical Image Perception Conference XVI, Abstracts. Medical Image Perception Society; 2015.
- IEEE
- [1]X. Qu, L. Platisa, B. Goossens, T. Bai, K. Deblaere, and W. Philips, “Computer aided FCD lesion detection based on T1 MRI data,” in Medical Image Perception Conference XVI, Abstracts, Ghent, Belgium, 2015.
@inproceedings{6847765,
abstract = {{Focal cortical dysplasia (FCD) is a frequent cause of epilepsy and can be detected using brain magnetic resonance imaging (MRI). The FCD lesions in MRI images are characterized by blurring of the gray matter/white matter (GM/WM) junction, cortical thickening and hyper-intensity signal within lesional region compared with other cortical regions. However, detecting FCD lesions by means of visual inspection can be a very difficult task for radiologists because the lesions are very subtle. To assist physicians in detecting the FCD lesions more efficiently and reduce the false positive regions resulted from the existing methods, we propose an algorithm for automated FCD detection based on T1 MRI data.}},
articleno = {{34}},
author = {{Qu, Xiaoxia and Platisa, Ljiljana and Goossens, Bart and Bai, Tingzhu and Deblaere, Karel and Philips, Wilfried}},
booktitle = {{Medical Image Perception Conference XVI, Abstracts}},
keywords = {{MRI,classification.,detection,FCD}},
language = {{eng}},
location = {{Ghent, Belgium}},
pages = {{1}},
publisher = {{Medical Image Perception Society}},
title = {{Computer aided FCD lesion detection based on T1 MRI data}},
year = {{2015}},
}