Goubran Maged, de Ribaupierre Sandrine, Hammond Robert R, Currie Catherine, Burneo Jorge G, Parrent Andrew G, Peters Terry M, Khan Ali R
Imaging Research Laboratories, Robarts Research Institute, London, Ontario, Canada; Biomedical Engineering, Western University, London, Ontario, Canada.
Epilepsy Program, Department of Clinical Neurological Sciences, Western University & London Health Sciences Centre, London, Ontario, Canada; Biomedical Engineering, Western University, London, Ontario, Canada.
J Neurosci Methods. 2015 Feb 15;241:53-65. doi: 10.1016/j.jneumeth.2014.12.005. Epub 2014 Dec 13.
Advances in MRI have the potential to improve surgical treatment of epilepsy through improved identification and delineation of lesions. However, validation is currently needed to investigate histopathological correlates of these new imaging techniques. The purpose of this work is to develop and evaluate a protocol for deformable image registration of in-vivo to ex-vivo resected brain specimen MRI. This protocol, in conjunction with our previous work on ex-vivo to histology registration, completes a registration pipeline for histology to in-vivo MRI, enabling voxel-based validation of novel and existing MRI techniques with histopathology.
A combination of image-based and landmark-based 3D registration was used to register in-vivo MRI and the ex-vivo MRI from patients (N=10) undergoing epilepsy surgery. Target registration error (TRE) was used to assess accuracy and the added benefit of deformable registration.
A mean TRE of 1.35±0.11 and 1.41±0.33mm was found for neocortical and hippocampal specimens respectively. Statistical analysis confirmed that the deformable registration significantly improved the registration accuracy for both specimens.
Image registration of surgically resected brain specimens is a unique application which presents numerous technical challenges and that have not been fully addressed in previous literature. Our computed TRE are comparable to previous attempts tackling similar applications, as registering in-vivo MRI to whole brain or serial histology.
The presented registration pipeline finds dense and accurate spatial correspondence between in-vivo MRI and histology and allows for the spatially local and quantitative assessment of pathological correlates in MRI.
磁共振成像(MRI)技术的进步有潜力通过更好地识别和描绘病变来改善癫痫的外科治疗。然而,目前需要进行验证以研究这些新成像技术的组织病理学相关性。本研究的目的是开发并评估一种用于体内与体外切除脑标本MRI的可变形图像配准方案。该方案结合我们之前关于体外与组织学配准的工作,完成了从组织学到体内MRI的配准流程,能够对新的和现有的MRI技术与组织病理学进行基于体素的验证。
采用基于图像和基于地标点的三维配准相结合的方法,对接受癫痫手术患者(N = 10)的体内MRI和体外MRI进行配准。使用目标配准误差(TRE)评估准确性以及可变形配准的附加益处。
新皮质和海马标本的平均TRE分别为1.35±0.11毫米和1.41±0.33毫米。统计分析证实,可变形配准显著提高了两个标本的配准精度。
手术切除脑标本的图像配准是一个独特的应用,存在许多技术挑战,且以前的文献中尚未完全解决。我们计算得到的TRE与之前处理类似应用(如将体内MRI与全脑或系列组织学进行配准)的尝试结果相当。
所提出的配准流程在体内MRI和组织学之间找到了密集且准确的空间对应关系,并允许对MRI中的病理相关性进行空间局部和定量评估。