01709nam 2200397z- 450 9910347056903321202102111000037411(CKB)4920000000101947(oapen)https://directory.doabooks.org/handle/20.500.12854/48487(oapen)doab48487(oapen)48487(EXLCZ)99492000000010194720202102d2014 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierGeometric Regularization in Bioluminescence TomographyKIT Scientific Publishing20141 online resource (IX, 185 p. p.)3-7315-0142-2 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.Mathematics & sciencebicsscbioluminescence tomographydomain derivativeinverse source problemshape optimizationTikhonov like regularizationMathematics & scienceKreutzmann Timauth1311952BOOK9910347056903321Geometric Regularization in Bioluminescence Tomography3030608UNINA