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Model reduction by multiresolution method applied to fluorescence diffuse optical tomography.

Anne Frassati¹, Anabela Da Silva, Jean-Marc Dinten

¹CEA-LETI-MINATEC, 17 rue des Martyrs, Grenoble Cedex 9, France. anne.frassati@cea.fr

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|November 16, 2007

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This study introduces a multiresolution technique for Fluorescence Diffuse Optical Tomography, reducing computational complexity in inverse problems. The method efficiently solves complex partial differential equations for practical applications.

Area of Science:

Biomedical Optics
Computational Imaging
Medical Physics

Background:

Fluorescence Diffuse Optical Tomography (FDOT) is a key imaging technique.
FDOT involves solving complex inverse problems using iterative algorithms.
Existing methods face challenges with computational complexity.

Purpose of the Study:

To introduce a novel multiresolution technique for FDOT.
To reduce the computational complexity of FDOT algorithms.
To enhance the efficiency of solving inverse problems in FDOT.

Main Methods:

Development of a multiresolution approach applied to partial differential equations.
Iterative algorithm implementation incorporating the multiresolution technique.
Validation through a practical application example.

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Main Results:

Significant reduction in computational complexity demonstrated.
Effectiveness of the multiresolution technique validated.
Feasibility for practical FDOT applications confirmed.

Conclusions:

The multiresolution technique offers an efficient solution for FDOT.
This approach addresses computational challenges in solving inverse problems.
The method shows promise for advancing FDOT applications.