LEADER 01596nam  2200361z- 450 
001 9910347056903321
005 20210211
010   $a1000037411
035   $a(CKB)4920000000101947
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/48487
035   $a(oapen)doab48487
035   $a(EXLCZ)994920000000101947
100   $a20202102d2014      |y         0
101 0 $aeng
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 00$aGeometric Regularization in Bioluminescence Tomography
210   $cKIT Scientific Publishing$d2014
215   $a1 online resource (IX, 185 p. p.)
311 08$a3-7315-0142-2 
330   $aBioluminescence 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.
610   $abioluminescence tomography
610   $adomain derivative
610   $ainverse source problem
610   $ashape optimization
610   $aTikhonov like regularization
700   $aKreutzmann$b Tim$4auth$01311952
906   $aBOOK
912   $a9910347056903321
996   $aGeometric Regularization in Bioluminescence Tomography$93030608
997   $aUNINA