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Geometric Regularization in Bioluminescence Tomography

Geometric Regularization in Bioluminescence Tomography

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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.

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Keywords

  • bioluminescence tomography
  • domain derivative
  • inverse source problem
  • Mathematics & science
  • shape optimization
  • Tikhonov like regularization

Links

DOI: 10.5445/KSP/1000037411

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