Application of Advanced Imaging and Visualization to Clinical Deep Brain Stimulation

项目总结 丘脑深部电刺激(DBS)治疗帕金森病(PD) 有效地改善运动症状，提高患者的生活质量。然而，星展银行外科手术 靶向技术和术后规划实践在过去20年中相对停滞不前 治疗一年的病史。尽管如此，核磁共振成像的获取已经取得了实质性的科学进步。 协议、患者特定的DBS建模方法和3D可视化技术。因此，目标是 这项生物工程研究拨款(PAR-19-159)是为了应用磁共振成像的最新进展，星展银行 建模，并将全息可视化应用于丘脑底核DBS治疗帕金森病的临床实践。 该项目的第一步是将定量核磁共振的科学进展应用于临床问题 帕金森病患者丘脑底核(STN)的识别磁共振指纹识别(MRF)是一种 全新的MR采集、重建和后处理方法。我们的团队已经使用磁流变液 同时获取T1、T2和T2*的量化地图*在一个固有地共同注册的全脑中 3D采集，图像分辨率为0.6 mm~3，持续时间仅为15分钟。多维技术的主要优势 MRF数据为执行STN的体积分割提供了可能的最佳信息。 这个项目的第二步是获取患者特定的MRF数据，以及我们的STN分段，以及 通过全息可视化将它们与立体定向框架的坐标系相结合 神经外科医生。我们团队开发了第一个全功能神经外科导航系统 Microsoft HoloLens可视化平台，该系统直接兼容Leksell立体定向仪 框架。这项研究将应用我们称为HoloDBS的工具来创建我们的手术前计划 研究对象。 这个项目的第三步是将DBS患者特定的全息模型放入 编程神经科医生的手。现代DBS设备由具有8个触点的电极和一个 刺激幅度、脉冲持续时间和频率的几乎无限的参数空间。这项研究将 将我们特定于患者的DBS模型提供给神经科医生，该模型也在HoloLens平台上运行 然后可以使用全息可视化来帮助定制患者的治疗。

PROJECT SUMMARY Subthalamic deep brain stimulation (DBS) for the treatment of Parkinson’s disease (PD) can be highly effective at improving motor symptoms and enhancing the patient’s quality of life. However, DBS surgical targeting technology and post-operative programming practices have been relatively stagnant over the ~20 year history of the therapy. Nonetheless, substantial scientific advances have been made in MRI acquisition protocols, patient-specific DBS modeling methods, and 3D visualization technologies. Therefore, the goal of this Bioengineering Research Grant (PAR-19-159) is to apply the latest advances in MR imaging, DBS modeling, and holographic visualization to the clinical practice of subthalamic DBS for PD. The first step of this project is to apply the scientific advances of quantitative MRI to the clinical problem of subthalamic nucleus (STN) identification in patients with PD. Magnetic Resonance Fingerprinting (MRF) is a completely new approach to MR acquisition, reconstruction, and post processing. Our group has used MRF to simultaneously acquire quantitative maps of T1, T2, and T2* in a single, inherently co-registered, whole-brain 3D acquisition, with 0.6 mm3 image resolution, lasting only ~15 min. The key advantage of multi-dimensional MRF data is that provides the best possible information for performing volumetric segmentation of the STN. The second step of this project is to take the patient-specific MRF data, with our STN segmentations, and integrate them with the coordinate system of the stereotactic frame via holographic visualization for the neurosurgeon. Our group developed the first fully functional neurosurgical navigation system within the Microsoft HoloLens visualization platform and this system is directly compatible with the Leksell stereotactic frame. This study will apply that tool we call HoloDBS to the creation of the pre-operative surgical plan for our research subjects. The third step of this project is to take the patient-specific holographic model of DBS and put it into the hands of the programming neurologist. Modern DBS devices consist of electrodes with 8 contacts and a nearly infinite parameter space of stimulus amplitudes, pulse durations, and frequencies. This study will provide our patient-specific DBS models, which also run within the HoloLens platform, to the neurologist who can then use holographic visualization to help customize the treatment to patient.