Hacihaliloglu Ilker, Guy Pierre, Hodgson Antony J, Abugharbieh Rafeef
Department of Orthopaedics, University of British Columbia, Vancouver, BC, Canada.
Int J Med Robot. 2014 Dec;10(4):461-73. doi: 10.1002/rcs.1552. Epub 2014 Jan 9.
Accurate localization of bone surfaces remains a challenge hampering adoption of ultrasound guidance in computer-assisted orthopaedic surgery. Local phase image features have recently been proven efficacious for segmenting bone surfaces from ultrasound images, but the quality of the processing depends on numerous filter parameters that are currently set through a trial and error process that is tedious, unintuitive and subject to large inter-user variability.
A method is presented for automatically selecting parameters of Log-Gabor filters used to extract bone surfaces from 3D ultrasound volumes that is based on properties estimated directly from the specific image.
A 15% and 69% average improvement in bone surface localization accuracy on phantom and clinical data, respectively, is demonstrated compared with empirically-set parameters.
These findings imply that Log-Gabor filter parameter optimization is necessary for accurate extraction of bone surfaces from ultrasound data.
骨表面的准确定位仍然是一个挑战，阻碍了超声引导在计算机辅助骨科手术中的应用。局部相位图像特征最近已被证明可有效从超声图像中分割骨表面，但处理质量取决于众多滤波器参数，目前这些参数是通过反复试验过程设置的，该过程繁琐、不直观且存在较大的用户间差异。
提出了一种基于直接从特定图像估计的属性自动选择用于从三维超声体积中提取骨表面的对数伽柏滤波器参数的方法。
与凭经验设置的参数相比，在体模和临床数据上骨表面定位精度分别平均提高了15%和69%。
这些发现表明，对数伽柏滤波器参数优化对于从超声数据中准确提取骨表面是必要的。
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