Syllabus of Math 664, Seminar in Applied
Mathematics
Mathematical Methods of Computerized Tomography, Fall
2008

Instructor Peter Kuchment
Office Rm. Blocker 614A
Telephone (979)862-3257
E-mail:
kuchment@math.tamu.edu
Home Page: http://www.math.tamu.edu/~kuchment
Section: 601
Time: TR
02:20PM-03:35PM
Room: BLOC 628 or
624
Textbook: not required. Some
notes and Web links will be distributed. The recommended books
will be placed on reserve in the library.
Office hours: T & TR 9:30 -
10:30 am. Additional office hours can be arranged by appointment.
About the course
Tomography (or computerized tomography, or computer
assisted tomography) is a technology (in fact, a complex of different
technologies) that enables one to see inside of a non-transparent
body. Many of you have probably heard about CAT scanners currently
available in most hospitals. CAT here stands for Computer Assisted
Tomography. One can easily imagine that if such a technique is
available, it is extremely useful in all kinds of applications, e.g.
in medical diagnostics (search for tumors, lung deceases, etc.),
non-destructive evaluation in industry (checking for interior cracks
in materials), oil and water prospection, deep Earth geophysics
imaging, and border inspection. The crucial thing about tomography is
that there is no ``film" there like in the case of X-ray
pictures, so the final high quality images (we present some of them
below) are the results of an intricate MATHEMATICAL procedure that
belongs to the general area of inverse problems. The
mathematics of tomography is extremely beautiful and diverse. It
involves manifold techniques that are of general importance for
mathematicians (either pure or applied), engineers (especially
electrical engineers, biomedical engineers), physicists, and other
scientists. Among these one can especially distinguish the so called
Harmonic (or Fourier) Analysis, which is one of the most important
ideas of the whole mathematics. As the name Harmonic Analysis
suggests, it has some relations with music and sound propagation, but
in fact it is of much more general significance for most of
mathematics and for engineering topics like digital filtration,
information transmission, heat conduction, and many others.
Differential equations also play a significant role in most of the
tomographic fields. Algebraic and computer programming aspects come
into play as well.
New tomographic methods that require new engineering and
mathematics solutions are being constantly developed (in particular
at the mathematics, biomedical engineering, and nuclear engineering
departments at TAMU). The class will touch upon various well
established techniques (X-ray CAT scan, emission tomography, MRI,
ultrasound imaging, etc.), as well as of those that are being
developed (or improved) now (optical imaging, diffraction tomography,
electrical impedance imaging, electron tomography, neutron
tomography, hybrid methods such as thermo/photo-acoustic tomography).
Some Matlab codes will be also written.
Recommended texts:
Mathematics
and physics of emerging biomedical imaging. A non-technical
survey of various types of tomography (except the recently
emerging ones), available online.
Main resources on mathematics
of tomography:
Frank Natterer, The mathematics
of computerized tomography, SIAM, Philadelphia, 2001. The classics
of computerized tomography. (will be placed on reserve)
Frank Natterer and Frank
Wübbeling, Mathematical methods in image reconstruction,
Philadelphia : Society for Industrial and Applied Mathematics,
2001. An extension to the previous book covering developments
occurring since 1986. (will be placed on reserve)
Frank Natterer's online
lectures on algorithms
in tomography (also available as the last chapter in [1])
A more engineering prospective
is delivered in
Avinash C. Kak and Malcolm
Slaney, Principles of Computerized Tomographic Imaging (Classics
in Applied Mathematics, v. 33), SIAM, Philadelphia, PA 2001. (will
be placed on reserve)
Gabor T. Herman, Image
reconstruction from projections : the fundamentals of computerized
tomography, New York : Academic Press, 1980. An introductory
discussion of practical and mathematical problems of tomography.
(will be placed on reserve)
A rigorous discussion of
integral geometry underpinnings of several types of tomography can
be found in
Sigurdur Helgason, The Radon
transform, Boston : Birkhauser, 1980. (will be placed on reserve)
This is a thorough mathematical study of the properties of Radon
transform.
The contents of this book coincides with the first
chapter of Sigurdur Helgason's book Groups and geometric analysis
: integral geometry, invariant differential operators, and
spherical functions. (will be placed on reserve)
Victor Palamodov,
Reconstructive integral geometry, Birkhauser 2004. A short and
terse mathematical consideration of some tomography problems. More
demanding in terms of the math background. (will be placed on
reserve)
I.M. Gelfand, S.G. Gindikin,
M.I. Graev, Selected topics in integral geometry, AMS 2003. (will
be placed on reserve)
Andrew Markoe, Analytic
Tomography, Cambridge University Press, 2006. (will be placed on
reserve)
Some novel methods are
described in
Habib Ammari, An Introduction to Mathematics of Emerging
Biomedical Imaging, Springer 2008.
Last revised August 20th, 2008