Mathematical Methods in Tomography

Proceedings of a Conference held in Oberwolfach, Germany, 5-11 June, 1990
1. Auflage 1992
ISBN: 978-3-540-54970-3
Verlag: Springer

Buch, Englisch, Band 1497, 270 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g

Reihe: Lecture Notes in Mathematics

The conference was devoted to the discussion of present and
future techniques in medical imaging, including 3D x-ray CT,
ultrasound and diffraction tomography, and biomagnetic ima-
ging. The mathematical models, their theoretical aspects and
the development of algorithms were treated. The proceedings
contains surveys on reconstruction in inverse obstacle scat-
tering, inversion in 3D, and constrained least squares pro-
blems.Research papers include besides the mentioned imaging
techniques presentations on image reconstruction in Hilbert
spaces, singular value decompositions, 3D cone beam recon-
struction, diffuse tomography, regularization of ill-posed
problems, evaluation reconstruction algorithms and applica-
tions in non-medical fields.
Contents: Theoretical Aspects:

J.Boman: Helgason' s support theorem for Radon transforms-a
newproof and a generalization -P.Maass: Singular value de-
compositions for Radon transforms- W.R.Madych: Image recon-
struction in Hilbert space -R.G.Mukhometov: A problem of in-
tegral geometry for a family of rays with multiple reflec-
tions -V.P.Palamodov: Inversion formulas for the three-di-
mensional ray transform - Medical Imaging Techniques:

V.Friedrich: Backscattered Photons - are they useful for a
surface - near tomography - P.Grangeat: Mathematical frame-
work of cone beam 3D reconstruction via the first derivative
of the Radon transform -P.Grassin,B.Duchene,W.Tabbara: Dif-
fraction tomography: some applications and extension to 3D
ultrasound imaging -F.A.Gr}nbaum: Diffuse tomography: a re-
fined model -R.Kress,A.Zinn: Three dimensional reconstruc-
tions in inverse obstacle scattering -A.K.Louis: Mathemati-
cal questions of a biomagnetic imaging problem - Inverse
Problems and Optimization: Y.Censor: On variable block
algebraic reconstruction techniques -P.P.Eggermont: On
Volterra-Lotka differential equations and multiplicative
algorithms for monotone complementary problems

Zielgruppe

Research

Autoren/Hrsg.

Herman, Gabor T.

Louis, Alfred K.

Natterer, Frank

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Magnetresonanztomographie, Computertomographie (MRT, CT)
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

Helgason's support theorem for Radon transforms — A new proof and a generalization.- Singular value decompositions for Radon transforms.- Image reconstruction in Hilbert space.- A problem of integral geometry for a family of rays with multiple reflections.- Inversion formulas for the three-dimensional ray transform.- Backscattered photons — Are they useful for a surface-near tomography?.- Mathematical framework of cone beam 3D reconstruction via the first derivative of the radon transform.- Diffraction tomography some applications and extension to 3-D ultrasound imaging.- Diffuse tomography: A refined model.- Three dimensional reconstructions in inverse obstacle scattering.- Mathematical questions of a biomagnetic imaging problem.- On variable block algebraic reconstruction techniques.- On Volterra-Lotka differential equations and multiplicative algorithms for monotone complementarity problems.- Constrained regularized least squares problems.- Multiplicative iterative methods in computed tomography.- Remark on the informative content of few measurements.- Theorems for the number of zeros of the projection radial modulators of the 2D exponential radon transform.- Evaluation of reconstruction algorithms.- Radon transform and analog coding.- Determination of the specific density of an aerosol through tomography.- Computed tomography and rockets.