Geometric Regularization in Bioluminescence Tomography
Bioluminescence tomography is a recent biomedical imaging technique which allows to study molecular and cellular activities in vivo. From a mathematical point of view, it is an ill-posed inverse source problem: the location and the intensity of a photon source inside an organism have to be determine...
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| Year of Publication: | 2014 |
| Language: | English |
| Physical Description: | 1 electronic resource (IX, 185 p. p.) |
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| 100 | 1 | |a Kreutzmann, Tim |4 auth | |
| 245 | 1 | 0 | |a Geometric Regularization in Bioluminescence Tomography |
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| 300 | |a 1 electronic resource (IX, 185 p. p.) | ||
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| 520 | |a Bioluminescence tomography is a recent biomedical imaging technique which allows to study molecular and cellular activities in vivo. From a mathematical point of view, it is an ill-posed inverse source problem: the location and the intensity of a photon source inside an organism have to be determined, given the photon count on the organism's surface. To face the ill-posedness of this problem, a geometric regularization approach is introduced, analyzed and numerically verified in this book. | ||
| 546 | |a English | ||
| 653 | |a bioluminescence tomography | ||
| 653 | |a shape optimization | ||
| 653 | |a Tikhonov like regularization | ||
| 653 | |a domain derivative | ||
| 653 | |a inverse source problem | ||
| 776 | |z 3-7315-0142-2 | ||
| 906 | |a BOOK | ||
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