Literature DB >> 23706624

Trajectory optimization for intra-operative nuclear tomographic imaging.

Jakob Vogel1, Tobias Lasser, José Gardiazabal, Nassir Navab.   

Abstract

Diagnostic nuclear imaging modalities like SPECT typically employ gantries to ensure a densely sampled geometry of detectors in order to keep the inverse problem of tomographic reconstruction as well-posed as possible. In an intra-operative setting with mobile freehand detectors the situation changes significantly, and having an optimal detector trajectory during acquisition becomes critical. In this paper we propose an incremental optimization method based on the numerical condition of the system matrix of the underlying iterative reconstruction method to calculate optimal detector positions during acquisition in real-time. The performance of this approach is evaluated using simulations. A first experiment on a phantom using a robot-controlled intra-operative SPECT-like setup demonstrates the feasibility of the approach.
Copyright © 2013 Elsevier B.V. All rights reserved.

Keywords:  Image reconstruction (iterative); Medical robotics; Nuclear imaging; Optimization

Mesh:

Year:  2013        PMID: 23706624     DOI: 10.1016/j.media.2013.04.009

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  2 in total

1.  Object Specific Trajectory Optimization for Industrial X-ray Computed Tomography.

Authors:  Andreas Fischer; Tobias Lasser; Michael Schrapp; Jürgen Stephan; Peter B Noël
Journal:  Sci Rep       Date:  2016-01-28       Impact factor: 4.379

2.  A learning-based method for online adjustment of C-arm Cone-beam CT source trajectories for artifact avoidance.

Authors:  Mareike Thies; Jan-Nico Zäch; Cong Gao; Russell Taylor; Nassir Navab; Andreas Maier; Mathias Unberath
Journal:  Int J Comput Assist Radiol Surg       Date:  2020-08-25       Impact factor: 2.924

  2 in total

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