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Tomographic reconstruction from fewer projections

Published: 06 June 2013 Publication History

Abstract

In this paper, we present an innovative analytic algorithm for tomographic reconstruction from fewer numbers of projections. Back-projection has been customized to make it work even when the projections are not uniformly distributed, and (or) are missing at certain orientation(s). Contour information of the object has been used efficiently to ignore all points/pixels that lie outside the objects boundary. Aiming successful reconstruction with minimum number of projections an innovative interpolation methodology has been proposed to figure out all the missing projections. Based on the experiments on simulated and real medical images it has been shown that the proposed modality is capable of producing better reconstruction than the state-of-the-art methods with comparatively less number of projections.

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      MIRAGE '13: Proceedings of the 6th International Conference on Computer Vision / Computer Graphics Collaboration Techniques and Applications
      June 2013
      137 pages
      ISBN:9781450320238
      DOI:10.1145/2466715
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      • Humboldt Univ.: Humboldt-Universität zu Berlin
      • FHHI: Fraunhofer Heinrich Hertz Institute

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 06 June 2013

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      Author Tags

      1. analytic approach
      2. back-projection
      3. computed tomography
      4. filtered back-projection
      5. iterative approach

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      • FHHI

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