Discrete Tomography Book

	Preface
	Contributors
I	Foundations	1
1	Discrete Tomography: A Historical Overview	3
2	Sets of Uniqueness and Additivity in Integer Lattices	35
3	Tomographic Equivalence and Switching Operations	59
4	Uniqueness and Complexity in Discrete Tomography	85
5	Reconstruction of Plane Figures from Two Projections	115
6	Reconstruction of Two-Valued Functions and Matrices	137
7	Reconstruction of Connected Sets from Two Projections	163
II	Algorithms	189
8	Binary Tomography Using Gibbs Priors	191
9	Probabilistic Modeling of Discrete Images	213
10	Multiscale Bayesian Methods for Discrete Tomography	237
11	An Algebraic Solution for Discrete Tomography	265
12	Binary Steering of Nonbinary Iterative Algorithms	285
13	Reconstruction of Binary Images via the EM Algorithm	297
14	Compact Object Reconstruction	317
III	Applications	343
15	CT-Assisted Engineering and Manufacturing	345
16	3D Reconstruction from Sparse Radiographic Data	363
17	Heart Chamber Reconstruction from Biplane Angiography	385
18	Discrete Tomography in Electron Microscopy	405
19	Tomography on the 3D-Torus and Crystals	417
20	A Recursive Algorithm for Diffuse Planar Tomography	435
21	From Orthogonal Projections to Symbolic Projections	455
	Index	472