SYSTEMS AND METHODS FOR ELECTRODE ORIENTATION DETERMINATION IN DEEP BRAIN STIMULATION (DBS)

The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re...

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Bibliographische Detailangaben
Hauptverfasser:	Ross, Erika, Kyani, Anahita, Zhu, Dehan, Park, Hyun-Joo, Lautner, Douglas, Pathak, Yagna, Zhang, Simeng
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DIAGNOSIS ELECTROTHERAPY HANDLING RECORD CARRIERS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MAGNETOTHERAPY MEDICAL OR VETERINARY SCIENCE PHYSICS PRESENTATION OF DATA RADIATION THERAPY RECOGNITION OF DATA RECORD CARRIERS SURGERY ULTRASOUND THERAPY
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Beschreibung
Zusammenfassung:	The present disclosure provides systems and methods for estimating an orientation of an implanted deep brain stimulation (DBS) lead. Such methods include generating an initial image dataset, down-sampling a respective image or adding noise to images of the subset of the initial image dataset, and re-slicing at least a subset of the modified image dataset along an alternative primary imaging axis, to generate an integrated image dataset. The method also include partitioning the integrated image dataset into a preliminary training image dataset and a testing image dataset, and re-sizing at least a subset of the preliminary training image dataset with a localized field of view around a depicted DBS lead, to generate a training image dataset. The method further includes training a machine-learning model using the training image dataset, and executing the trained machine-learning model to estimate, during a DBS implantation procedure, an orientation of a subject implanted DBS lead.