基于连接组和7次特斯拉MRI数据的强迫症深部脑刺激虚拟患者模拟器。

Giorgio Bonmassar, Nikos Makris
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引用次数: 0

摘要

我们介绍了基于连接组和7特斯拉磁共振成像(MRI)数据的深部脑刺激(DBS)植入患者的虚拟患者模型的研究进展。根据美国食品和药物管理局(Food and Drug Administration)的说法,虚拟病人是一种真实的计算机化病人模型,可以让医疗设备公司更早地测试新产品,帮助这些设备更快、更便宜地进入市场。我们设想提出的新的虚拟患者模拟器将使接受MRI的DBS植入物患者能够进行射频功率剂量测定。未来的DBS植入患者可能会受益于拟议的虚拟患者,允许MRI检查而不是更具侵入性的计算机断层扫描(CT)扫描。虚拟病人将是灵活和可变形的,与神经和精神疾病有关,如强迫症(OCD),这得益于DBS。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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The Virtual Patient Simulator of Deep Brain Stimulation in the Obsessive Compulsive Disorder Based on Connectome and 7 Tesla MRI Data.

We present work in progress on the virtual patient model for patients with Deep Brain Stimulation (DBS) implants based on Connectome and 7 Tesla Magnetic Resonance Imaging (MRI) data. Virtual patients are realistic computerized models of patients that allow medical-device companies to test new products earlier, helping the devices get to market more quickly and cheaply according to the Food and Drug Administration. We envision that the proposed new virtual patient simulator will enable radio frequency power dosimetry on patients with the DBS implant undergoing MRI. Future patients with DBS implants may profit from the proposed virtual patient by allowing for a MRI investigation instead of more invasive Computed Tomography (CT) scans. The virtual patient will be flexible and morphable to relate to neurological and psychiatric conditions such as Obsessive Compulsive Disorder (OCD), which benefit from DBS.

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Language Processing with Perl and Prolog The Virtual Patient Simulator of Deep Brain Stimulation in the Obsessive Compulsive Disorder Based on Connectome and 7 Tesla MRI Data. Reactive Kripke Semantics The Deductive Spreadsheet Foundations of Rule Learning
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