FCD Detection” is a self-optimizing algorithm designed with artificial intelligence. It scans high-resolution MRIs for focal cortical dysplasias (FCD). Detected FCD are automatically rendered and highlighted in the examined MRIs.
VSI-Function: FCD Detection
Author: Dr. med. Patrick Hous
Target group: Epileptologists, Neurologists, Neuroradiologists, Neurosurgeons
Application fields: Etiological diagnosis and presurgical evaluation, surgery planning, intraoperative
Development status: in progress
Benefits FCD Detection:
Optimization of etiological diagnosis and presurgical evaluation
Automation, acceleration and optimization of FCD detection
Self-optimization with artificial intelligence and automatically downloaded updates
Detected FCD are automatically rendered and highlighted in the examined MRIs
MRIs with rendered and highlighted FCD can directly be used for “VSI Surgery”
About VSI FCD Detection
For etiological diagnosis or presurgical evaluation, MRIs are usually analyzed visually for lesions like FCD and, sometimes, also digitally post-processed. In case of a positive finding, the anatomic position of the FCD is described in a medical report or demonstrated at a doctors’ meeting.
With knowledge of its exact anatomic position, neurosurgeons can remove the FCD surgically. “FCD Detection” is an algorithm scanning high-resolution MRIs for FCDs automatically. It optimizes itself with artificial intelligence and automatically downloaded updates.
Detected FCDs are rendered and highlighted in the examined MRIs and can directly be used for “VSI surgery”. “FCD detection” accelerates and optimizes the conventional non-automated search for FCDs in MRIs.
– Dr. med. Patrick House, Epilepsy specialist and senior doctor at Epilepsy Centre in Hamburg
- Video recordings
- Live photos
- Example of an automatically detected, rendered and highlighted FCD in an apparently normal MRI
- Example of an MRI with an automatically detected, rendered and highlighted FCD in the use of “VSI Surgery”