A linear programming approach to limited angle 3D reconstruction from DSA projections.
OBJECTIVE
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 90 degrees. The percentage of reconstructed voxels differing from ground truth is below 1%.


CONCLUSIONS
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.
University of Mannheim, Dept. M&CS, CVGPR-Group, 68131 Mannheim, Germany. wstefan@uni-mannheim.de
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S
Weber
T
T
Schüle
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C
Schnörr
J
J
Hornegger
D015901:Angiography, Digital Subtraction; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008491:Medical Informatics Applications; D011382:Programming, Linear; D011857:Radiographic Image Interpretation, Computer-Assisted; D014057:Tomography, X-Ray Computed