...
首页> 外文期刊>Neurosurgical focus >Magnetic resonance imaging–based synthetic computed tomography of the lumbar spine for surgical planning: a clinical proof-of-concept
【24h】

Magnetic resonance imaging–based synthetic computed tomography of the lumbar spine for surgical planning: a clinical proof-of-concept

机译:基于磁共振成像的腰椎的综合计算断层扫描,用于手术规划:临床概念验证

获取原文

摘要

OBJECTIVE Computed tomography scanning of the lumbar spine incurs a radiation dose ranging from 3.5 mSv to 19.5 mSv as well as relevant costs and is commonly necessary for spinal neuronavigation. Mitigation of the need for treatment-planning CT scans in the presence of MRI facilitated by MRI-based synthetic CT (sCT) would revolutionize navigated lumbar spine surgery. The authors aim to demonstrate, as a proof of concept, the capability of deep learning–based generation of sCT scans from MRI of the lumbar spine in 3 cases and to evaluate the potential of sCT for surgical planning. METHODS Synthetic CT reconstructions were made using a prototype version of the “BoneMRI” software. This deep learning–based image synthesis method relies on a convolutional neural network trained on paired MRI-CT data. A specific but generally available 4-minute 3D radiofrequency-spoiled T1-weighted multiple gradient echo MRI sequence was supplemented to a 1.5T lumbar spine MRI acquisition protocol. RESULTS In the 3 presented cases, the prototype sCT method allowed voxel-wise radiodensity estimation from MRI, resulting in qualitatively adequate CT images of the lumbar spine based on visual inspection. Normal as well as pathological structures were reliably visualized. In the first case, in which a spiral CT scan was available as a control, a volume CT dose index (CTDI vol ) of 12.9 mGy could thus have been avoided. Pedicle screw trajectories and screw thickness were estimable based on sCT findings. CONCLUSIONS The evaluated prototype BoneMRI method enables generation of sCT scans from MRI images with only minor changes in the acquisition protocol, with a potential to reduce workflow complexity, radiation exposure, and costs. The quality of the generated CT scans was adequate based on visual inspection and could potentially be used for surgical planning, intraoperative neuronavigation, or for diagnostic purposes in an adjunctive manner.
机译:客观计算机断层扫描腰椎的辐射扫描从3.5msv到19.5 msv的辐射剂量,以及相关成本,并且通常是脊髓神经道等所必需的。减轻治疗计划CT扫描在受MRI基合成CT(SCT)的MRI存在下的需求将彻底改变导航的腰椎手术。作者旨在作为概念证明,展示基于深度学习的SCT生成的能力从腰椎的MRI扫描3例,并评估SCT的外科规划潜力。方法使用“Bonemri”软件的原型版本进行合成CT重建。这种基于深度学习的图像合成方法依赖于对配对MRI-CT数据训练的卷积神经网络。特定但一般可用的4分钟3D射频损坏的T1加权多梯度回声MRI序列被补充到1.5T腰椎MRI采集协议。结果在3呈现的情况下,原型SCT方法允许来自MRI的Voxel-Wise radiodeny估计,从而基于目视检查的腰椎的定性足够的CT图像。正常和病理结构可靠地可视化。在第一种情况下,其中螺旋CT扫描作为对照可用,因此可以避免12.9变化的体积CT剂量指数(CTDI体积)。基于SCT调查结果,椎弓根螺钉轨迹和螺钉厚度是可评估的。结论评估的原型BONEMRI方法能够从MRI图像产生SCT扫描,只有采集协议的微小变化,有可能降低工作流程复杂性,辐射曝光和成本。产生的CT扫描的质量基于目视检查是足够的,并且可能用于外科计划,术中神经道,或以辅助方式用于诊断目的。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号