Elfarnawany M, Alam S Riyahi, Rohani S A, Zhu N, Agrawal S K, Ladak H M
Department of Otolaryngology-Head and Neck Surgery, Western University, London, Ontario, Canada.
Biomedical Engineering Graduate Program, Western University, London, Ontario, Canada.
J Microsc. 2017 Mar;265(3):349-357. doi: 10.1111/jmi.12507. Epub 2016 Dec 9.
High-resolution images of the cochlea are used to develop atlases to extract anatomical features from low-resolution clinical computed tomography (CT) images. We compare visualization and contrast of conventional absorption-based micro-CT to synchrotron radiation phase contrast imaging (SR-PCI) images of whole unstained, nondecalcified human cochleae. Three cadaveric cochleae were imaged using SR-PCI and micro-CT. Images were visually compared and contrast-to-noise ratios (CNRs) were computed from n = 27 regions-of-interest (enclosing soft tissue) for quantitative comparisons. Three-dimensional (3D) models of cochlear internal structures were constructed from SR-PCI images using a semiautomatic segmentation method. SR-PCI images provided superior visualization of soft tissue microstructures over conventional micro-CT images. CNR improved from 7.5 ± 2.5 in micro-CT images to 18.0 ± 4.3 in SR-PCI images (p < 0.0001). The semiautomatic segmentations yielded accurate reconstructions of 3D models of the intracochlear anatomy. The improved visualization, contrast and modelling achieved using SR-PCI images are very promising for developing atlas-based segmentation methods for postoperative evaluation of cochlear implant surgery.
耳蜗的高分辨率图像被用于开发图谱,以便从低分辨率的临床计算机断层扫描(CT)图像中提取解剖特征。我们将传统的基于吸收的微型CT与未染色、未脱钙的完整人类耳蜗的同步辐射相衬成像(SR-PCI)图像的可视化和对比度进行了比较。使用SR-PCI和微型CT对三个尸体耳蜗进行成像。对图像进行视觉比较,并从n = 27个感兴趣区域(包围软组织)计算对比度噪声比(CNR)以进行定量比较。使用半自动分割方法从SR-PCI图像构建耳蜗内部结构的三维(3D)模型。与传统微型CT图像相比,SR-PCI图像能更好地显示软组织微观结构。CNR从微型CT图像中的7.5±2.5提高到SR-PCI图像中的18.0±4.3(p<0.0001)。半自动分割产生了耳蜗内解剖结构3D模型的准确重建。使用SR-PCI图像实现的更好的可视化、对比度和建模对于开发基于图谱的分割方法用于人工耳蜗植入手术的术后评估非常有前景。