A linear programming approach to limited angle 3D reconstruction from DSA projections.

S Weber; T Schüle; C Schnörr; J Hornegger

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PubMed · 15472741

A linear programming approach to limited angle 3D reconstruction from DSA projections.

S Weber·T Schüle·C Schnörr·J Hornegger

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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 90 degrees. 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.

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Angiography, Digital Subtraction Humans Image Interpretation, Computer-Assisted Imaging, Three-Dimensional Medical Informatics Applications Programming, Linear Radiographic Image Interpretation, Computer-Assisted Tomography, X-Ray Computed Journal Article Research Support, Non-U.S. Gov't

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S Weber, T Schüle, C Schnörr, J Hornegger. 2004. A linear programming approach to limited angle 3D reconstruction from DSA projections.. https://pubmed.ncbi.nlm.nih.gov/15472741/

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