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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| Format: | Online |
| Język: | angielski |
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KIT Scientific Publishing
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | 35167 |
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| _version_ | 1869515689141731328 |
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| author | Kreutzmann, Tim |
| author_browse | Kreutzmann, Tim |
| author_facet | Kreutzmann, Tim |
| author_sort | Kreutzmann, Tim |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-48487 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-484872023-12-20T18:40:33Z Geometric Regularization in Bioluminescence Tomography Kreutzmann, Tim QA1-939 bioluminescence tomography shape optimization Tikhonov like regularization domain derivative inverse source problem bic Book Industry Communication::P Mathematics & science 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. 2021-02-11T14:29:03Z 2021-02-11T14:29:03Z 2019-07-30 20:02:00 2014 book 35167 9783731501428 https://directory.doabooks.org/handle/20.500.12854/48487 eng image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731501428 KIT Scientific Publishing 10.5445/KSP/1000037411 10.5445/KSP/1000037411 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731501428 IX, 185 p. open access |
| spellingShingle | QA1-939 bioluminescence tomography shape optimization Tikhonov like regularization domain derivative inverse source problem bic Book Industry Communication::P Mathematics & science Kreutzmann, Tim Geometric Regularization in Bioluminescence Tomography |
| title | Geometric Regularization in Bioluminescence Tomography |
| title_full | Geometric Regularization in Bioluminescence Tomography |
| title_fullStr | Geometric Regularization in Bioluminescence Tomography |
| title_full_unstemmed | Geometric Regularization in Bioluminescence Tomography |
| title_short | Geometric Regularization in Bioluminescence Tomography |
| title_sort | geometric regularization in bioluminescence tomography |
| topic | QA1-939 bioluminescence tomography shape optimization Tikhonov like regularization domain derivative inverse source problem bic Book Industry Communication::P Mathematics & science |
| topic_facet | QA1-939 bioluminescence tomography shape optimization Tikhonov like regularization domain derivative inverse source problem bic Book Industry Communication::P Mathematics & science |
| url | 35167 |
| work_keys_str_mv | AT kreutzmanntim geometricregularizationinbioluminescencetomography |