A shape reconstruction method for diffuse optical tomography using a transport model and level sets

A two-step shape reconstruction method for diffuse optical tomography (DOT) is presented which uses adjoint fields and level sets. The propagation of near-infrared photons in tissue is modeled by the time-dependent linear transport equation, of which the absorption parameter has to be reconstructed from boundary measurements. In the shape reconstruction approach, it is assumed that the inhomogeneous background absorption parameter and the values inside the obstacles are (approximately) known, but that the number, sizes, shapes, and locations of these obstacles have to be reconstructed from the data. An additional difficulty arises due to the presence of so-called clear regions in the medium. The first step of the reconstruction scheme is a transportbacktransport (TBT) method which provides us with a lowcontrast approximation to the sought objects. The second step uses this result as an initial guess for solving the shape reconstruction problem. A key point in this second step is th...

• Type: Conference
• Year: 2002
• Where: ISBI
• Authors: O. Dorn
• Keywords: Absorption Parameter, ISBI 2002, Shape Reconstruction, Shape Reconstruction Method