AUTOMATIC SEGMENTATION AND MULTIMODAL IMAGE FUSION FOR STEREOELECTROENCEPHALOGRAPHIC (SEEG) ANALYSIS IN VIRTUAL REALITY (SAVR)

• Main Authors: Evans, James, Soria, Nathan, Bramlet, Matthew, Maldonado, Andres, Sutton, Bradley P, Varatharajah, Yogatheesan, Xu, Michael
• Format: Patent
• Language: English
• Published: 06.06.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; DIAGNOSIS; HUMAN NECESSITIES; HYGIENE; IDENTIFICATION; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; MEDICAL OR VETERINARY SCIENCE; PHYSICS; SURGERY

Aspects of the subject disclosure may include, for example, co-registering MRI data with CT data to derive merged data, the MRI data and the CT data being associated with an anatomical part of a patient, the MRI data being obtained prior to implantation of a plurality of electrodes into the anatomical part and the CT data being obtained after the implantation of the plurality of electrodes, performing segmentation on the merged data to identify locations of the plurality of electrodes, resulting in identified locations, localizing a region of interest in the merged data based on the identified locations of the plurality of electrodes and based on activity recordings relating to the anatomical part, and generating a model of the anatomical part by performing multimodal image fusion of the activity recordings and the merged data to derive an output for VR viewing or manipulation. Additional embodiments are disclosed.