对于大稀疏矩阵，在计算中保持矩阵的稀疏性是很重要的。

For large sparse matrix, it is very important to keep the sparse of matrix in computation.

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该矩阵由于其构成的非常稀疏性大大简化了图像重建过程中的投影计算，从而提高重建速度。

Owing to its sparsity of structure, new matrix greatly simplifies the projection operation during images reconstruction, which greatly improving the speed of reconstruction.

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对于所求解方程的系数矩阵的高度稀疏性，给出了紧缩存储算法，节省了存储空间和减少了计算量。

Because the coefficient matrix of the equation to be solved is very sparse, the algorithm with the compact storage scheme is given and the computation cost is also reduced.

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