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

Weber S, Schüle T, Schnörr C, Hornegger J (2004)


Publication Type: Journal article, Original article

Publication year: 2004

Journal

Original Authors: Weber S., Schüle T., Schnörr C., Hornegger J.

Publisher: Schattauer

Book Volume: 43

Pages Range: 320-326

Journal Issue: 4

DOI: 10.1267/METH04040320

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°. 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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APA:

Weber, S., Schüle, T., Schnörr, C., & Hornegger, J. (2004). A linear programming approach to limited angle 3D recostruction from DSA projections. Methods of Information in Medicine, 43(4), 320-326. https://doi.org/10.1267/METH04040320

MLA:

Weber, Stefan, et al. "A linear programming approach to limited angle 3D recostruction from DSA projections." Methods of Information in Medicine 43.4 (2004): 320-326.

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