Frank Natterer
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The organizations/institutes from the scholar's latest article
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Latest Publications
- 30 June 2008
- Published by Elsevier in Wave Motion
- Vol. 45 (6) , 776-784
Reflectors in wave equation imaging
- 30 June 2008
- Published by Elsevier in Wave Motion
- Vol. 45 (6) , 776-784
Reflectors in wave equation imaging
- 1 January 2005
- Published by Walter de Gruyter GmbH in Journal of Inverse and Ill-posed Problems
- Vol. 13 (1) , 93-101
Inverting the Attenuated Vectorial Radon Transform
We give a new derivation of the inversion formula of Bukhgeim and Kazantsev for the attenuated vectorial Radon transform. We also study what happens if the attenuation tends to zero.
- 1 January 2005
- Published by Walter de Gruyter GmbH in Journal of Inverse and Ill-posed Problems
- Vol. 13 (1) , 93-101
Inverting the Attenuated Vectorial Radon Transform
We give a new derivation of the inversion formula of Bukhgeim and Kazantsev for the attenuated vectorial Radon transform. We also study what happens if the attenuation tends to zero.
- 24 September 2004
- Published by American Mathematical Society (AMS) in Bulletin of the American Mathematical Society
- Vol. 42 (01) , 89-92
Book Review: Mathematics of medical imaging
- 24 September 2004
- Published by American Mathematical Society (AMS) in Bulletin of the American Mathematical Society
- Vol. 42 (01) , 89-92
Book Review: Mathematics of medical imaging
- 8 January 2001
- Published by IOP Publishing in Inverse Problems
- Vol. 17 (1) , 113-119
Inversion of the attenuated Radon transform
- 8 January 2001
- Published by IOP Publishing in Inverse Problems
- Vol. 17 (1) , 113-119
Inversion of the attenuated Radon transform
- 1 January 1999
- Published by Cambridge University Press (CUP) in Acta Numerica
- Vol. 8, 107-141
Numerical methods in tomography
In this article we review the image reconstruction algorithms used in tomography. We restrict ourselves to the standard problems in the reconstruction of function from line or plane integrals as they occur in X-ray tomography, nuclear medicine, magnetic resonance imaging, and electron microscopy. Nonstandard situations, such as incomplete data, unknown orientations, local tomography, and discrete tomography are not dealt with. Nor do we treat nonlinear tomographic techniques such as impedance, ultrasound, and near-infrared imaging.
- 1 January 1999
- Published by Cambridge University Press (CUP) in Acta Numerica
- Vol. 8, 107-141
Numerical methods in tomography
In this article we review the image reconstruction algorithms used in tomography. We restrict ourselves to the standard problems in the reconstruction of function from line or plane integrals as they occur in X-ray tomography, nuclear medicine, magnetic resonance imaging, and electron microscopy. Nonstandard situations, such as incomplete data, unknown orientations, local tomography, and discrete tomography are not dealt with. Nor do we treat nonlinear tomographic techniques such as impedance, ultrasound, and near-infrared imaging.