Lavrent'ev / Zerkal / Trofimov Computer Modelling in Tomography and Ill-Posed Problems

Nachdruck 2014
ISBN: 978-3-11-094093-0
Verlag: De Gruyter
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 132 Seiten, Format (B × H): 155 mm x 230 mm

Reihe: ISSN

Comparatively weakly researched untraditional tomography problems are solved because of new achievements in calculation mathematics and the theory of ill-posed problems, the regularization process of solving ill-posed problems, and the increase of stability. Experiments show possibilities and applicability of algorithms of processing tomography data. This monograph is devoted to considering these problems in connection with series of ill-posed problems in tomography settings arising from practice.The book includes chapters to the following themes: - Mathematical basis of the method of computerized tomography - Cone-beam tomography reconstruction - Inverse kinematic problem in the tomographic setting

Zielgruppe

Students, Rearchers, and Lecturers in Mathematics and Mathematica

Autoren/Hrsg.

Lavrent'ev, Mikhail M.

Zerkal, Sergei M.

Trofimov, Oleg E.

Fachgebiete

• Naturwissenschaften Physik Physik Allgemein Theoretische Physik, Mathematische Physik, Computerphysik
• Mathematik | Informatik Mathematik Mathematische Analysis
• Naturwissenschaften Physik Angewandte Physik Medizinische Physik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Radiologie, Bildgebende Verfahren
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizinische Fachgebiete Bildgebende Verfahren, Nuklearmedizin, Strahlentherapie Nuklearmedizin, PET, Radiotherapie

Über Autor(innen)

Mikhail M. Lavrent'ev †; Sergei M. Zerkal, Sobolev Institute of Mathematics, Russian Academy of Sciences, Novosibirsk, Russia; Oleg E. Trofimov, Institute of Automation and Electrometry, Russian Academy of Sciences, Novosibirsk, Russia.