Registration of functional and anatomical MRI: accuracy assessment and application in navigated neurosurgery.

Registration of functional and anatomical MRI: accuracy assessment and application in navigated neurosurgery.
复制标题

功能和解剖 MRI 的配准:准确性评估及其在导航神经外科手术中的应用。

DOI:
10.1002/igs.1003
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发表时间:
2000
期刊:
Computer aided surgery : official journal of the International Society for Computer Aided Surgery.
影响因子:
--
通讯作者:
Thomale,UW
Thomale,UW
中科院分区:
--
文献类型:
--
作者:
Rohlfing,T;West,JB;Beier,J;Liebig,T;Taschner,CA;Thomale,UW

文献摘要

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目的:介绍一种功能磁共振图像和解剖磁共振图像的采集、自动配准和融合的方法。其准确性是使用公开可用的黄金标准进行定量评估的。材料和方法:在功能磁共振成像(FMRI)采集前后,在与功能图像相同的空间位置(5-10层)采集额外的解剖图像,用于基于体素的图像配准。解剖体积和高分辨率3D MRI体积(MP-RAGE成像)的配准准确性使用来自Vanderbilt回顾注册评估项目(NIH项目1 R01 NS33926-02)的适配数据(8名患者)进行量化。从该数据中选择三个切片子集(5个切片/6 mm切片距离、10个切片/3 mm距离和10个切片/6 mm距离),考虑了从fMRI采集获得的少量图像。然后将记录这些稀疏数据集的精度与使用完整数据获得的精度进行比较。对于临床患者数据(16例患者),将fMRI图像与MP-RAGE图像融合,从而将解剖图像与有关功能区位置的信息相结合。在手术显微镜(MKM,Zeiss)上,将生成的图像用于计划和导航肿瘤。结果:定量分析显示,无论使用5层还是10层,配准精度都没有因为切片数量的减少而损失。对于解剖图像中的小体积覆盖(厚度24 mm),有一名患者登记失败,这很容易通过肉眼检查来识别。覆盖54 mm时无一例失败。在临床环境中,使用融合的fMRI和MRI数据的16项干预都是成功的。
Objective: A procedure for acquisition, automated registration, and fusion of functional and anatomical magnetic resonance images is presented. Its accuracy is quantitatively assessed using a publicly available gold standard. A patient case is used to illustrate the technique's clinical usefulness in image-guided neurosurgery.Materials and Methods: Before and after functional MRI (fMRI) acquisition, additional anatomical images were acquired at spatial locations identical to those of the functional images (5–10 slices) for the purpose of voxel-based image registration. Registration accuracy of the anatomical volumes and high-resolution 3D MRI volumes (MP-RAGE imaging) was quantified using adapted data (8 patients) originating from the Vanderbilt Retrospective Registration Evaluation Project (NIH project 1 R01 NS33926–02). Selecting three subsets of slices from that data (5 slices/6 mm slice distance, 10 slices/3 mm distance, and 10 slices/6 mm distance), the small number of images available from fMRI acquisition was taken into account. Accuracies in registering these sparse data sets were then compared to the accuracy achieved using complete data. For clinical patient data (16 patients), fMRI images were fused with MP-RAGE images, thereby integrating anatomical images with information about the locations of functional areas. The resulting images were used for planning and navigation during tumor resections using an operating microscope (MKM, Zeiss).Results: Quantitative analysis showed no loss of registration accuracy due to a reduced number of slices, regardless of whether 5 or 10 slices were used. For small-volume coverage in the anatomical images (thickness 24 mm), registration of one patient failed, and this could easily be identified by visual inspection. No failures were experienced when 54 mm was covered. In the clinical environment, all 16 interventions using fused fMRI and MRI data were successful.