Department of Computer Science and Engineering, University of North Texas, Denton, TX 76210, USA.
Comput Med Imaging Graph. 2011 Jul;35(5):373-82. doi: 10.1016/j.compmedimag.2010.11.013. Epub 2010 Dec 21.
Due to the scan time limitation, our MRI studies of the human tongue can acquire only a limited number of contiguous two-dimensional (2D) slices to form a volumetric data set in a given series. An interpolated three-dimensional (3D) reconstruction using images acquired in a single plane presents artifacts. To address this issue, we developed a wavelet-based bidirectional linear fusion method that uses slices acquired from sagittal and coronal planes to estimate the unknown values of the inter-slice voxels. We use an interpolation method to estimate the voxel value based on neighboring fiducial voxels in the bounding slices. This interpolation is followed by a wavelet fusion to recover image details by integrating prominent coefficients from the interpolated images. Our method was evaluated using 2D MR images and 3D phantoms. Experiments demonstrated that our method reduces interpolation artifacts and greatly improves the 3D reconstruction accuracy. The advantage of our method casts new light on MR imaging and image processing and permits us to achieve high resolution and short acquisition time simultaneously.
由于扫描时间的限制，我们对人体舌头的 MRI 研究只能获取有限数量的连续二维 (2D) 切片，以在给定序列中形成一个体积数据集。在单个平面上获取的图像进行插值的三维 (3D) 重建会产生伪影。为了解决这个问题，我们开发了一种基于小波的双向线性融合方法，该方法使用来自矢状面和冠状面的切片来估计切片间体素的未知值。我们使用一种插值方法根据边界切片中的相邻基准体素来估计体素值。然后进行小波融合，通过从插值图像中集成突出的系数来恢复图像细节。我们的方法使用二维 MR 图像和三维体模进行了评估。实验表明，我们的方法减少了插值伪影，并大大提高了 3D 重建的准确性。我们的方法的优势为磁共振成像和图像处理开辟了新的视角，使我们能够同时实现高分辨率和短采集时间。
