尺度不变特征变换作为4D成像中的特征跟踪方法：一项可行性研究。
Scale Invariant Feature Transform as feature tracking method in 4D imaging: a feasibility study.
作者信息
Paganelli C, Peroni M, Pennati F, Baroni G, Summers P, Bellomi M, Riboldi M
机构信息
Department of Bioengineering, Politecnico di Milano, Milano, Italy. chiara1.paganelli@ mail.polimi.it
出版信息
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:6543-6. doi: 10.1109/EMBC.2012.6347493.
We propose the use of Scale Invariant Feature Transform (SIFT) as a method able to extract stable landmarks from 4D images and to quantify internal motion. We present a preliminary validation of the SIFT method relying on expert user identification of landmarks and then apply it to 4D lung CT and liver MRI data. Results demonstrate SIFT capabilities as an operator-independent feature tracking method.
我们建议使用尺度不变特征变换（SIFT）作为一种能够从4D图像中提取稳定地标并量化内部运动的方法。我们基于专家用户对地标进行识别，对SIFT方法进行了初步验证，然后将其应用于4D肺部CT和肝脏MRI数据。结果证明了SIFT作为一种独立于操作员的特征跟踪方法的能力。
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