一种基于配准的医学图像插值新方法。
A new method for registration-based medical image interpolation.
作者信息
Frakes David H, Dasi Lakshmi P, Pekkan Kerem, Kitajima Hiroumi D, Sundareswaran Kartik, Yoganathan Ajit P, Smith Mark J T
机构信息
4-D Imaging, Inc., Atlanta, GA30332, USA.
出版信息
IEEE Trans Med Imaging. 2008 Mar;27(3):370-7. doi: 10.1109/TMI.2007.907324.
A new technique is presented for interpolating between grey-scale images in a medical data set. Registration between neighboring slices is achieved with a modified control grid interpolation algorithm that selectively accepts displacement field updates in a manner optimized for performance. A cubic interpolator is then applied to pixel intensities correlated by the displacement fields. Special considerations are made for efficiency, interpolation quality, and compression in the implementation of the algorithm. Experimental results show that the new method achieves good quality, while offering dramatic improvement in efficiency relative to the best competing method.
本文提出了一种在医学数据集中的灰度图像之间进行插值的新技术。通过一种改进的控制网格插值算法实现相邻切片之间的配准，该算法以优化性能的方式选择性地接受位移场更新。然后将三次插值器应用于由位移场关联的像素强度。在算法实现过程中，对效率、插值质量和压缩进行了特殊考虑。实验结果表明，新方法在保证良好质量的同时，相对于最佳竞争方法在效率上有显著提高。
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