Hacihaliloglu Ilker, Abugharbieh Rafeef, Hodgson Antony, Rohling Robert
Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada.
Med Image Comput Comput Assist Interv. 2008;11(Pt 1):287-95. doi: 10.1007/978-3-540-85988-8_35.
3D ultrasound (US) is increasingly considered as a viable alternative imaging modality in computer-assisted orthopaedic surgery (CAOS) applications. Automatic bone segmentation from US images, however, remains a challenge due to speckle noise and various other artifacts inherent to US. In this paper, we present intensity invariant three dimensional (3D) local image phase features, obtained using 3D Log-Gabor filter banks, for extracting ridge-like features similar to those that occur at soft tissue/bone interfaces. Our contributions include the novel extension of 2D phase symmetry features to 3D and their use in automatic extraction of bone surfaces and fractured fragments in 3D US. We validate our technique using phantom, in vitro, and in vivo experiments. Qualitative and quantitative results demonstrate remarkably clear segmentations results of bone surfaces with a localization accuracy of better than 0.62 mm and mean errors in estimating fracture displacements below 0.65 mm, which will likely be of strong clinical utility.
在计算机辅助骨科手术（CAOS）应用中，三维超声（US）越来越被视为一种可行的替代成像方式。然而，由于超声固有的斑点噪声和各种其他伪像，从超声图像中自动分割骨骼仍然是一项挑战。在本文中，我们提出了强度不变的三维（3D）局部图像相位特征，通过三维对数-伽柏滤波器组获得，用于提取类似于软组织/骨界面处出现的脊状特征。我们的贡献包括将二维相位对称特征新颖地扩展到三维，并将其用于三维超声中骨表面和骨折碎片的自动提取。我们使用模型、体外和体内实验验证了我们的技术。定性和定量结果表明，骨表面的分割结果非常清晰，定位精度优于0.62毫米，估计骨折位移的平均误差低于0.65毫米，这可能具有很强的临床实用性。
