Accurate super-resolution reconstruction for CT and MR images
Accurate super-resolution reconstruction for CT and MR images
复制标题
CT 和 MR 图像的精确超分辨率重建
DOI：
10.1109/cbms.2013.6627837
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
S. Wesarg
中科院分区：
文献类型：
--
作者：
Wissam El Hakimi;S. Wesarg
医学图像的分辨率和准确性对早期医学诊断起着重要作用，因为错误的分辨率可能会增加做出错误决策的风险。在实际应用中，磁共振和计算机断层成像图像常常受到各向异性分辨率的影响，因此只能在切片内获得高质量的图像。在这篇文章中，我们提出了一个先前提出的超分辨率方法的进一步发展，该方法仅从两个正交的低分辨率数据集重建各向同性的高分辨率图像。因此，考虑了图像采集和预处理过程中产生的体素不确定性。此外，还引入了一种自适应的修复方法，以确保对缺失数据进行更好的初始估计。通过将区域和当地信息结合起来，重建质量也得到了提高。在合成数据集和临床数据集上的实验表明，图像质量和精度都有了显著的提高，与传统的重建方法相比，得到了更好的结果。
The resolution and accuracy of medical images play an important role for early medical diagnosis, since a wrong resolution may increase the risk of making a poor decision. In practice, magnetic resonance and computed tomography images often suffer from anisotropic resolution, so that the image quality is high only within the slices. In this paper we propose a further development of a previously presented super-resolution approach, to reconstruct isotropic high resolution images from only two orthogonal low resolution data sets. Thereby, voxel uncertainties, which arise during image acquisition and preprocessing, are considered. Furthermore, an adapted inpainting method is introduced to ensure a better initial estimation of missing data. Reconstruction quality is also improved, by combining regional and local information. Experiments on synthetic and clinical data sets reveal significant improvement of image quality and accuracy, yielding better results when compared with conventional reconstruction approaches.