Multimodal medical imaging repository and information system in epilepsy surgery

Akdeniz G., Atli İ. , Celebi F. V.

Turkish Journal of Electrical Engineering and Computer Sciences, vol.26, no.1, pp.50-57, 2018 (Journal Indexed in SCI Expanded) identifier

  • Publication Type: Article / Article
  • Volume: 26 Issue: 1
  • Publication Date: 2018
  • Doi Number: 10.3906/elk-1604-429
  • Title of Journal : Turkish Journal of Electrical Engineering and Computer Sciences
  • Page Numbers: pp.50-57


Surgery is an option for patients with drug-resistant epilepsy, but it requires a comprehensive assessment. Electroencephalography (EEG), magnetic resonance imaging (MRI), and functional MRI (fMRI) are used to localize the epileptogenic zone, which directly affects the surgery outcome. Accessing EEG, MRI, and fMRI results and patient information simultaneously using traditional methods might result in misinformation and increase the workload of clinicians. In this study, we developed a modern web-based repository system for the preoperative evaluation of epilepsy disorder, including multimodal medical images and patient information. Our dedicated system is enriched with clinical metadata that are not currently available and is managed with an online application. It overcomes the identified problem and minimizes possible medical errors. In conclusion, this system has the potential to accelerate surgical procedures, get reliable results, and improve the seizure outcome. It is an extensive solution for epilepsy hospitals and clinical research centers. It may serve as a standard template for archiving multiple imaging techniques.