TY - JOUR
T1 - Uniqueness and reconstruction of finite lattice sets from their line sums
AU - Ascolese, Michela
AU - Dulio, Paolo
AU - Pagani, Silvia Maria Carla
PY - 2024
Y1 - 2024
N2 - If an unknown finite set $C\subset\mathbb{Z}^2$ is cut by lines parallel to given directions, then one may count the number of points of $C$ that are intercepted by each line, that is, the projections of $C$ in the given directions. The inverse problem consists in reconstructing the set $C$, interpreted as a binary image, from the knowledge of its projections.
In general, this challenging combinatorial problem, also related to the tomographic reconstruction of an unknown homogeneous object by means of X-rays, is ill-posed, meaning that different binary images exist that match the available projections. Therefore, as a preliminary step, one can try to find conditions to be imposed on the considered directions in order to limit the number of allowed solutions.
In this paper we address the above problems for sets $C$ contained in a finite assigned lattice grid, and generalize some results known in literature.
First, we describe special sets of lattice directions, called simple cycles, and focus on some of their properties. Then we prove that uniqueness of reconstruction for binary images is guaranteed if and only if the line sums are computed along suitable simple cycles having even cardinality.
As a second item, we prove that the unique binary solution can be explicitly
reconstructed from a real-valued solution having minimal Euclidean norm. This leads to an explicit reconstruction algorithm, tested on four different phantoms and compared with previous results, which points out a significant improvement of the corresponding performance.
AB - If an unknown finite set $C\subset\mathbb{Z}^2$ is cut by lines parallel to given directions, then one may count the number of points of $C$ that are intercepted by each line, that is, the projections of $C$ in the given directions. The inverse problem consists in reconstructing the set $C$, interpreted as a binary image, from the knowledge of its projections.
In general, this challenging combinatorial problem, also related to the tomographic reconstruction of an unknown homogeneous object by means of X-rays, is ill-posed, meaning that different binary images exist that match the available projections. Therefore, as a preliminary step, one can try to find conditions to be imposed on the considered directions in order to limit the number of allowed solutions.
In this paper we address the above problems for sets $C$ contained in a finite assigned lattice grid, and generalize some results known in literature.
First, we describe special sets of lattice directions, called simple cycles, and focus on some of their properties. Then we prove that uniqueness of reconstruction for binary images is guaranteed if and only if the line sums are computed along suitable simple cycles having even cardinality.
As a second item, we prove that the unique binary solution can be explicitly
reconstructed from a real-valued solution having minimal Euclidean norm. This leads to an explicit reconstruction algorithm, tested on four different phantoms and compared with previous results, which points out a significant improvement of the corresponding performance.
KW - Binary tomography
KW - Discrete tomography
KW - Lattice grid
KW - Lattice set
KW - Line sum
KW - Minimum norm solution
KW - Simple cycle
KW - Uniqueness of reconstruction
KW - X-ray
KW - Binary tomography
KW - Discrete tomography
KW - Lattice grid
KW - Lattice set
KW - Line sum
KW - Minimum norm solution
KW - Simple cycle
KW - Uniqueness of reconstruction
KW - X-ray
UR - http://hdl.handle.net/10807/282536
UR - https://www.sciencedirect.com/science/article/pii/s0166218x24002427
U2 - 10.1016/j.dam.2024.05.047
DO - 10.1016/j.dam.2024.05.047
M3 - Article
SN - 0166-218X
VL - 356
SP - 293
EP - 306
JO - Discrete Applied Mathematics
JF - Discrete Applied Mathematics
ER -