
As an Amazon Associate and affiliate partner, Menrva Books earns from qualifying purchases. Learn more
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
This collection explores the mathematical underpinnings and algorithmic development of tomographic imaging techniques. The book addresses both theoretical aspects and practical applications in medical imaging, including 3D x-ray CT, ultrasound, diffraction tomography, and biomagnetic imaging. It delves into reconstruction methods, inverse scattering, and constrained least squares problems, presenting surveys and research papers on these topics.
This volume is a collection of advanced research papers and theoretical discussions presented at a conference on mathematical methods in tomography. The content focuses on the rigorous mathematical models, their theoretical underpinnings, and the development of algorithms for various imaging techniques. The collection is geared towards researchers and practitioners in the fields of medical imaging, applied mathematics, and computer science, offering insights into complex reconstruction problems and optimization techniques.
Page Count:
268
Publication Date:
1991-01-01
ISBN-10:
3540549706
No comments yet. Be the first to share your thoughts!