Thursday, March 27, 4:15pm, 9206
 
Attila Kuba  
(University of Szeged)
 
"Binary Emission Tomography"
 
The shape of a three-dimensional (3D) object (respectively, one of its
2D cross-sections) can be represented by a 3D (respectively, 2D)
binary matrix, in which 1 indicates the presence of the object
at the corresponding point in space and 0 indicates its absence.
If the object material is homogeneous (for example, it is a single
piece of molded plastic), then physically obtained mesurements
(for example, by X-rays) through the object indicate the number of
1s in the matrix that happen to fall on certain lines. Binary Tomography
is concerned with the recovery of binary matrices from such line sums.
It has applications, for example, in non-destructive testing, electron
microscopy, and medical imaging.
A new direction of binary tomography is when the 1s in the matrix
are interpreted as a set of points emitting rays (e.g., light or
radioactivity) all of the same intensity and this emitted
radiation is partially absorbed between its source and the
detector by some material of a known uniform absorption coefficient.
The problem in Binary Emission Tomography (BET) is to
reconstruct the matrix from such absorbed line sums. BET is a young
research field, it is full of mathematically fascinating questions and
it has important potential applications (for example, the reconstruction
of radioactive objects).
From the algorithmic point of view, BET is quite different
from binary tomography. For example, the reconstruction of the so-called
horizontally and vertically convex binary matrices from their row and
column sums is an NP-hard problem in binary tomography, but the
corresponding BET problem has polynomial time complexity (at least for
certain absorption value
s). On the other hand, the problem of uniqueness
of the solution is more intractable in BET than in binary tomography.
In this presentation an overview of BET will be given, including
its foundations (uniqueness, existence, complexity), reconstruction
procedures, and applications. Since BET is a young area, many open
problems can be posed that are interesting from a theoretical point
of view and are also relevant to some applications.
 
The Colloquium is supported by generous
contributions from the CUNY Faculty Development Program, Bloomberg,
Information Builders, Inc., and Royal Philips Electronics.
 
 
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