Literature DB >> 15472741

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

S Weber1, T Schüle, C Schnörr, J Hornegger.   

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.

Mesh:

Year:  2004        PMID: 15472741

Source DB:  PubMed          Journal:  Methods Inf Med        ISSN: 0026-1270            Impact factor:   2.176


  1 in total

1.  Limited view CT reconstruction and segmentation via constrained metric labeling.

Authors:  Vikas Singh; Lopamudra Mukherjee; Petru M Dinu; Jinhui Xu; Kenneth R Hoffmann
Journal:  Comput Vis Image Underst       Date:  2008-10-01       Impact factor: 3.876

  1 in total

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