Abstract
We report on the first formulation of the inverse problem in optical tomography within the framework of PDE-constrained optimization and combine Newton's method for numerical optimization with a Krylov subspace solver. This approach leads to reduced memory requirements and increased convergence speed.
| Original language | English (US) |
|---|---|
| Title of host publication | Biomedical Optics, BIOMED 2008 |
| State | Published - 2008 |
| Event | Biomedical Optics, BIOMED 2008 - St. Petersburg, FL, United States Duration: Mar 16 2008 → Mar 19 2008 |
Other
| Other | Biomedical Optics, BIOMED 2008 |
|---|---|
| Country/Territory | United States |
| City | St. Petersburg, FL |
| Period | 3/16/08 → 3/19/08 |
ASJC Scopus subject areas
- Biomedical Engineering
- Biomaterials
- Electronic, Optical and Magnetic Materials
- Atomic and Molecular Physics, and Optics