Validation of phalanx bone three-dimensional surface segmentation from computed tomography images using laser scanning
Validation of phalanx bone three-dimensional surface segmentation from computed tomography images using laser scanning
复制标题
DOI：
10.1007/s00256-007-0386-3
复制
发表时间：
2008-01-01
影响因子：
2.1
通讯作者：
Grosland, Nicole M.
中科院分区：
文献类型：
--
作者：
DeVries, Nicole A.;Gassman, Esther E.;Grosland, Nicole M.
目的对5具尸体食指3节指骨的CT冠状面重建图像进行分割测量，以验证CT扫描中人工定义感兴趣区的有效性。评价了两种平滑算法（基于图像和基于拉普拉斯表面），以确定其准确表示解剖表面的能力。所得的表面进行了比较，与激光表面扫描相应的尸体samples.Results之间的平均相对重叠两个示踪剂为0.91的所有骨骼。手动未平滑表面和激光表面扫描之间的总体平均差异为0.20 mm。比较了基于图像和基于拉普拉斯表面的平滑;基于图像的平滑的总体平均差异为0.21 mm，拉普拉斯平滑为0.20 mm。结论本研究表明，高对比度、冠状、重新格式化的手动分割，CT数据集可以准确地表示骨骼的真实表面几何形状。此外，平滑技术并没有显着改变表面表示。这种验证技术应扩展到其他骨骼，图像分割和空间滤波技术。
Objective To examine the validity of manually defined bony regions of interest from computed tomography (CT) scans.Materials and methods Segmentation measurements were performed on the coronal reformatted CT images of the three phalanx bones of the index finger from five cadaveric specimens. Two smoothing algorithms (image-based and Laplacian surface-based) were evaluated to determine their ability to represent accurately the anatomic surface. The resulting surfaces were compared with laser surface scans of the corresponding cadaveric specimen.Results The average relative overlap between two tracers was 0.91 for all bones. The overall mean difference between the manual unsmoothed surface and the laser surface scan was 0.20 mm. Both image-based and Laplacian surface-based smoothing were compared; the overall mean difference for image-based smoothing was 0.21 mm and 0.20 mm for Laplacian smoothing.Conclusions This study showed that manual segmentation of high-contrast, coronal, reformatted, CT datasets can accurately represent the true surface geometry of bones. Additionally, smoothing techniques did not significantly alter the surface representations. This validation technique should be extended to other bones, image segmentation and spatial filtering techniques.