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Integration of 3D ~1H-magnetic resonance spectroscopy data into neuronavigation systems for tumor biopsies

机译:3D〜1H-磁共振光谱数据将3D〜1H-磁共振光谱数据集成到肿瘤活检中的神经元疫电系统中

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Many important applications in clinical medicine can benefit from the fusion of spectroscopy data with anatomical images. For example, the correlation of metabolite profiles with specific regions of interest in anatomical tumor images can be useful in characterizing and treating heterogeneous tumors that appear structurally homogeneous. Such applications can build on the correlation of data from in-vivo Proton Magnetic Resonance Spectroscopy Imaging ('H-MRSI) with data from genetic and ex-vivo Nuclear Magnetic Resonance spectroscopy. To establish that correlation, tissue samples must be neurosurgically extracted from specifically identified locations with high accuracy. Toward that end, this paper presents new neuronavigation technology that enhances current clinical capabilities in the context of neurosurgical planning and execution. The proposed methods improve upon the current state-of-the-art in neuronavigation through the use of detailed three dimensional (3D) !H-MRSI data. MRSI spectra are processed and analyzed, and specific voxels are selected based on their chemical contents. 3D neuronavigation overlays are then generated and applied to anatomical image data in the operating room. Without such technology, neurosurgeons must rely on memory and other qualitative resources alone for guidance in accessing specific MRSI-identified voxels. In contrast, MRSI-based overlays provide quantitative visual cues and location information during neurosurgery. The proposed methods enable a progressive new form of online MRSI-guided neuronavigation that we demonstrate in this study through phantom validation and clinical application.
机译:临床医学中的许多重要应用可以受益于具有解剖图像的光谱数据的融合。例如,在解剖肿瘤图像中具有特定感兴趣区域的代谢物分布的相关性可用于表征和治疗显现的结构均匀的异质肿瘤。这些应用可以建立在来自体内质子磁共振光谱成像('H-MRSI)中的数据的相关性与来自遗传和前体内核磁共振光谱的数据的相关性。为了建立这种相关性,组织样品必须高精度地从特异性鉴定的位置被神经诊断。朝上,本文提出了新的神经通讯,在神经外科规划和执行的背景下提高了当前的临床能力。所提出的方法通过使用详细的三维(3D)来改善当前最先进的神经元辐射状态!H-MRSI数据。处理和分析MRSI光谱,基于其化学物质选择特异性体素。然后生成3D神经元维镜覆盖物并将其应用于手术室中的解剖图像数据。如果没有这种技术,神经外科医生必须依赖于存储器和其他定性资源,以便访问特定的MRSI鉴定的体素的指导。相反,基于MRSI的叠加在神经外科期间提供定量视觉提示和位置信息。所提出的方法使我们在本研究中通过幻影验证和临床应用在本研究中展示了逐步的新形式。

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