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三维医学建模的新方向:神经外科规划中的 3D 打印解剖结构和功能。

New Directions in 3D Medical Modeling: 3D-Printing Anatomy and Functions in Neurosurgical Planning.

机构信息

Institute of Biomedical and Neural Engineering/Medical Technology Center, Reykjavik University and Landspitali University Hospital, Menntavegi 1, 101 Reykjavik, Iceland.

Department of Neurosurgery, Landspitali University Hospital, Áland, 108 Reykjavik, Iceland.

出版信息

J Healthc Eng. 2017;2017:1439643. doi: 10.1155/2017/1439643. Epub 2017 Jun 8.

DOI:10.1155/2017/1439643
PMID:29065569
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5480056/
Abstract

This paper illustrates the feasibility and utility of combining cranial anatomy and brain function on the same 3D-printed model, as evidenced by a neurosurgical planning case study of a 29-year-old female patient with a low-grade frontal-lobe glioma. We herein report the rapid prototyping methodology utilized in conjunction with surgical navigation to prepare and plan a complex neurosurgery. The method introduced here combines CT and MRI images with DTI tractography, while using various image segmentation protocols to 3D model the skull base, tumor, and five eloquent fiber tracts. This 3D model is rapid-prototyped and coregistered with patient images and a reported surgical navigation system, establishing a clear link between the printed model and surgical navigation. This methodology highlights the potential for advanced neurosurgical preparation, which can begin before the patient enters the operation theatre. Moreover, the work presented here demonstrates the workflow developed at the National University Hospital of Iceland, Landspitali, focusing on the processes of anatomy segmentation, fiber tract extrapolation, MRI/CT registration, and 3D printing. Furthermore, we present a qualitative and quantitative assessment for fiber tract generation in a case study where these processes are applied in the preparation of brain tumor resection surgery.

摘要

本文通过一个 29 岁女性低级别额叶胶质瘤患者的神经外科手术计划案例研究,展示了在同一个 3D 打印模型上结合颅骨解剖结构和大脑功能的可行性和实用性。我们在此报告了一种快速成型方法,该方法与手术导航相结合,用于准备和规划复杂的神经外科手术。本文介绍的方法将 CT 和 MRI 图像与 DTI 示踪技术相结合,同时使用各种图像分割协议对颅骨底、肿瘤和 5 条重要纤维束进行 3D 建模。该 3D 模型通过快速成型并与患者图像和报告的手术导航系统进行配准,在打印模型和手术导航之间建立了明确的联系。该方法突出了先进的神经外科准备的潜力,这种准备可以在患者进入手术室之前开始。此外,本文介绍了冰岛国家大学医院(Landspitali)开发的工作流程,重点介绍了解剖分割、纤维束外推、MRI/CT 配准和 3D 打印的流程。此外,我们还在一个案例研究中对纤维束生成进行了定性和定量评估,这些过程应用于脑肿瘤切除术的准备中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/aa2f090c1702/JHE2017-1439643.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/fc6dab003287/JHE2017-1439643.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/b895f52155a9/JHE2017-1439643.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/35a237e9a3f9/JHE2017-1439643.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/1f4e899bfbc8/JHE2017-1439643.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/aa2f090c1702/JHE2017-1439643.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/fc6dab003287/JHE2017-1439643.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/b895f52155a9/JHE2017-1439643.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/35a237e9a3f9/JHE2017-1439643.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/1f4e899bfbc8/JHE2017-1439643.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/008c/5480056/aa2f090c1702/JHE2017-1439643.005.jpg

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