Int J Comput Assist Radiol Surg - PyDBS: an automated image processing workflow for deep brain stimulation surgery.

Tópicos

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Resumo

RPOSE: Deep brain stimulation (DBS) is a surgical procedure for treating motor-related neurological disorders. DBS clinical efficacy hinges on precise surgical planning and accurate electrode placement, which in turn call upon several image processing and visualization tasks, such as image registration, image segmentation, image fusion, and 3D visualization. These tasks are often performed by a heterogeneous set of software tools, which adopt differing formats and geometrical conventions and require patient-specific parameterization or interactive tuning. To overcome these issues, we introduce in this article PyDBS, a fully integrated and automated image processing workflow for DBS surgery.METHODS: PyDBS consists of three image processing pipelines and three visualization modules assisting clinicians through the entire DBS surgical workflow, from the preoperative planning of electrode trajectories to the postoperative assessment of electrode placement. The system's robustness, speed, and accuracy were assessed by means of a retrospective validation, based on 92 clinical cases.RESULTS: The complete PyDBS workflow achieved satisfactory results in 92 % of tested cases, with a median processing time of 28 min per patient.CONCLUSION: The results obtained are compatible with the adoption of PyDBS in clinical practice.

Resumo Limpo

rpose deep brain stimul dbs surgic procedur treat motorrel neurolog disord dbs clinic efficaci hing precis surgic plan accur electrod placement turn call upon sever imag process visual task imag registr imag segment imag fusion d visual task often perform heterogen set softwar tool adopt differ format geometr convent requir patientspecif parameter interact tune overcom issu introduc articl pydb fulli integr autom imag process workflow dbs surgerymethod pydb consist three imag process pipelin three visual modul assist clinician entir dbs surgic workflow preoper plan electrod trajectori postop assess electrod placement system robust speed accuraci assess mean retrospect valid base clinic casesresult complet pydb workflow achiev satisfactori result test case median process time min per patientconclus result obtain compat adopt pydb clinic practic

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