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Geometric Regularization in Bioluminescence Tomography

dc.contributor.authorKreutzmann, Tim*
dc.date.accessioned2021-02-11T14:29:03Z
dc.date.available2021-02-11T14:29:03Z
dc.date.issued2014*
dc.date.submitted2019-07-30 20:02:00*
dc.identifier35167*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/48487
dc.description.abstractBioluminescence 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.*
dc.languageEnglish*
dc.subjectQA1-939*
dc.subject.classificationbic Book Industry Communication::P Mathematics & scienceen_US
dc.subject.otherbioluminescence tomography*
dc.subject.othershape optimization*
dc.subject.otherTikhonov like regularization*
dc.subject.otherdomain derivative*
dc.subject.otherinverse source problem*
dc.titleGeometric Regularization in Bioluminescence Tomography*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000037411*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731501428*
oapen.pagesIX, 185 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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