Name
Title | ||
|---|---|---|
A linear programming approach to limited angle 3D reconstruction from DSA projections. |
Abstract | ||
|---|---|---|
Objectives: We investigate the feasibility of binary-valued 3D tomographic reconstruction using only a small number of projections acquired over a limited range of angles. Methods: Regularization of this strongly ill-posed problem is achieved by (i) confining the reconstruction to binary vessel/non-vessel decisions, and (ii) by minimizing a global functional involving a smoothness prior. Results: Our approach successfully reconstructs volumetric vessel structures from three projections taken within 90degrees. The percentage of reconstructed voxels differing from ground truth is below 1%. Conclusion: We demonstrate that for particular applications - like Digital Subtraction Angiography - 3D reconstructions are possible where conventional methods must fail, due to a severely limited imaging geometry. This could play an important role for dose reduction and 3D reconstruction using non-conventional technical setups. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1267/METH04040320 | METHODS OF INFORMATION IN MEDICINE |
Keywords | Field | DocType |
X-ray tomography,computer-assisted image analysis,image reconstruction,computer-generated 3D imaging,digital subtraction angiography | Computer science,Algorithm,Linear programming,3D reconstruction | Conference |
Volume | Issue | ISSN |
43 | 4.0 | 0026-1270 |
Citations | PageRank | References |
7 | 1.21 | 10 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S Weber | 1 | 133 | 10.09 |
| T Schüle | 2 | 112 | 8.34 |
| Christoph Schnörr | 3 | 3025 | 219.34 |
| Joachim Hornegger | 4 | 1734 | 190.62 |