Med. Image Process. Group, Pennsylvania Univ., Philadelphia, PA, USA.
IEEE Trans Med Imaging. 1996;15(1):68-78. doi: 10.1109/42.481442.
Spherically symmetric volume elements with smooth tapering of the values near their boundaries are alternatives to the more conventional voxels for the construction of volume images in the computer. Their use, instead of voxels, introduces additional parameters which enable the user to control the shape of the volume element (blob) and consequently to control the characteristics of the images produced by iterative methods for reconstruction from projection data. For images composed of blobs, efficient algorithms have been designed for the projection and discrete back-projection operations, which are the crucial parts of iterative reconstruction methods. The authors have investigated the relationship between the values of the blob parameters and the properties of images represented by the blobs. Experiments show that using blobs in iterative reconstruction methods leads to substantial improvement in the reconstruction performance, based on visual quality and on quantitative measures, in comparison with the voxel case. The images reconstructed using appropriately chosen blobs are characterized by less image noise for both noiseless data and noisy data, without loss of image resolution.
球对称体积元素具有平滑的边界值渐变,是构建计算机体积图像时替代更传统体素的另一种选择。使用它们而不是体素会引入其他参数,使用户能够控制体积元素(blob)的形状,从而控制由投影数据迭代重建方法生成的图像的特征。对于由 blob 组成的图像,已经设计了用于投影和离散反向投影操作的高效算法,这些操作是迭代重建方法的关键部分。作者研究了 blob 参数值与 blob 表示的图像特性之间的关系。实验表明,与体素情况相比,在迭代重建方法中使用 blob 可以显著提高重建性能,无论是基于视觉质量还是基于定量测量。使用适当选择的 blob 重建的图像具有更低的图像噪声,无论是无噪声数据还是噪声数据,而不会损失图像分辨率。