Mathematical Methods in Tomography

Mathematical Methods in Tomography

Math. Meth. in the Appl. Sci., 5, 176 - 185. MANGLOS S.H., BASSANO D.A., DUXBURY C.E., CAPONE R.B. (1990). “Attenuation maps for SPECT determined using cone beam transmission computed tomography”. IEEE Trans. on Nucl. Sci., NS-37 (2), ...

Author: Gabor T. Herman

Publisher: Springer

ISBN: 9783540466154

Category: Medical

Page: 270

View: 137

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
Categories: Medical

Mathematical Methods in Tomography

Mathematical Methods in Tomography

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.

Author: Gabor T. Herman

Publisher: Springer

ISBN: 3540549706

Category: Medical

Page: 270

View: 944

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
Categories: Medical

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis

Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis

... First Derivative of the Radon Transform, in Mathematical Methods in Tomography. 1992: Springer Verlag. p. 66. Tuy, H.K., INVERSION FORMULA FOR CONE-BEAM RECONSTRUCTION. SIAM Journal on Applied Mathematics, 1983. 43(3): p. 546-552.

Author: Milan Sonka

Publisher: Springer Science & Business Media

ISBN: 9783540226758

Category: Computers

Page: 444

View: 233

Medical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analysis.
Categories: Computers

Mathematical Methods in Image Reconstruction

Mathematical Methods in Image Reconstruction

Griinbaum et al. (eds.): Signal Processing Part II: Control Theory andApplications, 321—334. Springer, New York. F. Natterer and H. Herzog (1992), Attenuation correction in positron emission tomography, Math. Methods Appl. Sci.

Author: Frank Natterer

Publisher: SIAM

ISBN: 0898718325

Category: Computers

Page: 228

View: 861

This book describes the state of the art of the mathematical theory and numerical analysis of imaging. Some of the applications covered in the book include computerized tomography, magnetic resonance imaging, emission tomography, electron microscopy, ultrasound transmission tomography, industrial tomography, seismic tomography, impedance tomography, and NIR imaging.
Categories: Computers

The Radon Transform Inverse Problems and Tomography

The Radon Transform  Inverse Problems  and Tomography

... Mathematical framework of cone beam 3-D reconstruction via the first derivative of the Radon transform in Herman, G. T., Louis, A.K. and Natterer, F., editors, Mathematical Methods in Tomography. Springer, Berlin (1991) 66–97.

Author: Gestur Ólafsson

Publisher: American Mathematical Soc.

ISBN: 9780821839300

Category: Mathematics

Page: 158

View: 275

Since their emergence in 1917, tomography and inverse problems remain active and important fields that combine pure and applied mathematics and provide strong interplay between diverse mathematical problems and applications. The applied side is best known for medical and scientific use, in particular, medical imaging, radiotherapy, and industrial non-destructive testing. Doctors use tomography to see the internal structure of the body or to find functional information, such as metabolic processes, noninvasively. Scientists discover defects in objects, the topography of the ocean floor, and geological information using X-rays, geophysical measurements, sonar, or other data.This volume, based on the lectures in the Short Course The Radon Transform and Applications to Inverse Problems at the American Mathematical Society meeting in Atlanta, GA, January 3-4, 2005, brings together articles on mathematical aspects of tomography and related inverse problems. The articles cover introductory material, theoretical problems, and practical issues in 3-D tomography, impedance imaging, local tomography, wavelet methods, regularization and approximate inverse, sampling, and emission tomography. All contributions are written for a general audience, and the authors have included references for further reading.
Categories: Mathematics

Mathematical Methods in Medical Imaging

Mathematical Methods in Medical Imaging

Kudo H and Saito T. “ Helical - scan computed tomography using cone - beam projections , ” Conf . Record 1991 IEEE Nuc . Sci . Symp . and Med . Imag . ... Mathematical Methods in Tomography , Herman , Louis and Natterer ( eds . ) ...

Author:

Publisher:

ISBN: STANFORD:36105002742208

Category: Diagnostic imaging

Page: 412

View: 282

Categories: Diagnostic imaging