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基于术前影像和术中徒手超声的新型神经导航系统:系统描述与验证。

New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation.

机构信息

McConnell Brain Imaging Center, Montreal Neurological Institute, McGill University, Montreal, QC, Canada.

出版信息

Int J Comput Assist Radiol Surg. 2011 Jul;6(4):507-22. doi: 10.1007/s11548-010-0535-3. Epub 2010 Oct 1.


DOI:10.1007/s11548-010-0535-3
PMID:20886304
Abstract

PURPOSE: The aim of this report is to present IBIS (Interactive Brain Imaging System) NeuroNav, a new prototype neuronavigation system that has been developed in our research laboratory over the past decade that uses tracked intraoperative ultrasound to address surgical navigation issues related to brain shift. The unique feature of the system is its ability, when needed, to improve the initial patient-to-preoperative image alignment based on the intraoperative ultrasound data. Parts of IBIS Neuronav source code are now publicly available on-line. METHODS: Four aspects of the system are characterized in this paper: the ultrasound probe calibration, the temporal calibration, the patient-to-image registration and the MRI-ultrasound registration. In order to characterize its real clinical precision and accuracy, the system was tested in a series of adult brain tumor cases. RESULTS: Three metrics were computed to evaluate the precision and accuracy of the ultrasound calibration. 1) Reproducibility: 1.77 mm and 1.65 mm for the bottom corners of the ultrasound image, 2) point reconstruction precision 0.62-0.90 mm: and 3) point reconstruction accuracy: 0.49-0.74 mm. The temporal calibration error was estimated to be 0.82 ms. The mean fiducial registration error (FRE) of the homologous-point-based patient-to-MRI registration for our clinical data is 4.9 ± 1.1 mm. After the skin landmark-based registration, the mean misalignment between the ultrasound and MR images in the tumor region is 6.1 ± 3.4 mm. CONCLUSIONS: The components and functionality of a new prototype system are described and its precision and accuracy evaluated. It was found to have an accuracy similar to other comparable systems in the literature.

摘要

目的:本报告旨在介绍 IBIS(交互式脑成像系统)NeuroNav,这是我们研究实验室在过去十年中开发的一种新型原型神经导航系统,它使用术中跟踪超声来解决与脑移位相关的手术导航问题。该系统的独特之处在于,它能够根据术中超声数据在需要时改进初始患者与术前图像的配准。IBIS 神经导航的部分源代码现在可在线公开获取。

方法:本文对系统的四个方面进行了描述:超声探头校准、时间校准、患者到图像的配准以及 MRI-超声配准。为了表征其实际临床精度和准确性,该系统在一系列成人脑肿瘤病例中进行了测试。

结果:为了评估超声校准的精度和准确性,计算了三个度量值。1)可重复性:超声图像底部角的 1.77mm 和 1.65mm,2)点重建精度 0.62-0.90mm:和 3)点重建准确性:0.49-0.74mm。时间校准误差估计为 0.82ms。对于我们的临床数据,基于同源点的患者到 MRI 配准的平均标志点配准误差(FRE)为 4.9±1.1mm。在进行皮肤标志点配准后,超声和磁共振图像在肿瘤区域的平均错位为 6.1±3.4mm。

结论:描述了一种新型原型系统的组件和功能,并评估了其精度和准确性。发现其准确性与文献中其他可比系统相似。

相似文献

[1]
New prototype neuronavigation system based on preoperative imaging and intraoperative freehand ultrasound: system description and validation.

Int J Comput Assist Radiol Surg. 2010-10-1

[2]
Functional neuronavigation combined with intra-operative 3D ultrasound: initial experiences during surgical resections close to eloquent brain areas and future directions in automatic brain shift compensation of preoperative data.

Acta Neurochir (Wien). 2007

[3]
Preoperative magnetic resonance and intraoperative ultrasound fusion imaging for real-time neuronavigation in brain tumor surgery.

Ultraschall Med. 2015-4

[4]
IBIS: an OR ready open-source platform for image-guided neurosurgery.

Int J Comput Assist Radiol Surg. 2016-8-31

[5]
Application of intraoperative 3D ultrasound during navigated tumor resection.

Minim Invasive Neurosurg. 2006-8

[6]
Intraoperative imaging in a comprehensive neuronavigation environment for minimally invasive brain tumour surgery.

Acta Neurochir Suppl. 2003

[7]
Computer-assisted 3D ultrasound-guided neurosurgery: technological contributions, including multimodal registration and advanced display, demonstrating future perspectives.

Int J Med Robot. 2006-3

[8]
Automatic and efficient MRI-US segmentations for improving intraoperative image fusion in image-guided neurosurgery.

Neuroimage Clin. 2019-3-12

[9]
Intraoperative navigated 3-dimensional ultrasound angiography in tumor surgery.

Surg Neurol. 2006-12

[10]
Accuracy evaluation of a 3D ultrasound-based neuronavigation system.

Comput Aided Surg. 2002

引用本文的文献

[1]
Recent Advances in Tracking Devices for Biomedical Ultrasound Imaging Applications.

Micromachines (Basel). 2022-10-29

[2]
Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware.

Int J Comput Assist Radiol Surg. 2021-8

[3]
Evaluation of an Ultrasound-Based Navigation System for Spine Neurosurgery: A Porcine Cadaver Study.

Front Oncol. 2021-3-4

[4]
Intraoperative Imaging for High-Grade Glioma Surgery.

Neurosurg Clin N Am. 2021-1

[5]
fMRI functional connectivity as an indicator of interictal epileptic discharges.

Neuroimage Clin. 2019-10-23

[6]
Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: Accuracy and generality in multi-site data.

Neuroimage. 2019-8-22

[7]
Internodular functional connectivity in heterotopia-related epilepsy.

Ann Clin Transl Neurol. 2019-5-3

[8]
The spike onset zone: The region where epileptic spikes start and from where they propagate.

Neurology. 2018-7-13

[9]
Combining intraoperative ultrasound brain shift correction and augmented reality visualizations: a pilot study of eight cases.

J Med Imaging (Bellingham). 2018-4

[10]
IBIS: an OR ready open-source platform for image-guided neurosurgery.

Int J Comput Assist Radiol Surg. 2016-8-31

本文引用的文献

[1]
The role of registration in accurate surgical guidance.

Proc Inst Mech Eng H. 2010

[2]
Impact of intraoperative high-field magnetic resonance imaging guidance on glioma surgery: a prospective volumetric analysis.

Neurosurgery. 2009-6

[3]
Mutual-information-based image to patient re-registration using intraoperative ultrasound in image-guided neurosurgery.

Med Phys. 2008-10

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Wien Med Wochenschr. 1947-10-4

[5]
Fiducial versus nonfiducial neuronavigation registration assessment and considerations of accuracy.

Neurosurgery. 2008-3

[6]
Preoperative functional magnetic resonance imaging assessment of higher-order cognitive function in patients undergoing surgery for brain tumors.

J Neurosurg. 2008-2

[7]
Morphometric analysis of white matter lesions in MR images: method and validation.

IEEE Trans Med Imaging. 1994

[8]
Clinical validation of vessel-based registration for correction of brain-shift.

Med Image Anal. 2007-12

[9]
Freehand 3D ultrasound reconstruction algorithms--a review.

Ultrasound Med Biol. 2007-7

[10]
Is the image guidance of ultrasonography beneficial for neurosurgical routine?

Surg Neurol. 2007-6

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