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Deformable Physiological Atlas-Based Programming of Deep Brain Stimulators: A Feasibility Study

机译:基于可变形的生理地图集的深脑刺激器的编程:可行性研究

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The postoperative neurological management of patients with deep brain stimulation (DBS) of the subthalamic nucleus (STN) for Parkinson’s disease is a complex and dynamic process that involves optimizing the stimulation parameters and decreasing the anti-parkinsonian medication while assessing the interactions of both treatment modalities. Neurologists who manage patients undergoing DBS therapy must have expert knowledge of the electro-anatomy of the subthalamic area and be familiar with the medical treatment of motor and non-motor symptoms. In clinical practice, finding the optimal programming parameters can be a challenging and time-consuming process. We have developed a computerized system to facilitate one of the bottlenecks of DBS therapy: the IPG (Internal Pulse Generator) programming. This system consists of a deformable physiological atlas built on more than 300 intra-operative macro-stimulations acquired from 30 Parkinson’s patients and of a non-rigid registration algorithm used to map these data into an atlas.
机译:帕金森病的亚脑刺激(DBS)患者的术后神经系统管理是一种复杂和动态的过程,涉及优化刺激参数并降低抗帕金森尼药物,同时评估治疗方式的相互作用。管理接受DBS治疗的患者的神经科医生必须具有亚多米兰地区的电解解剖学的专业知识,并熟悉电机和非运动症状的医疗。在临床实践中,找到最佳的编程参数可能是一个具有挑战性和耗时的过程。我们开发了一种计算机化系统,以促进DBS治疗的瓶颈之一:IPG(内部脉冲发生器)编程。该系统包括可变形的生理意大利舞台,其内置于300多个帕金森患者的术中术中宏观刺激,并且用于将这些数据映射到地图集的非刚性登记算法。

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