Literature DB >> 24766905

PET-CT scanner characterization for PET raw data use in biomedical research.

Chiara Gianoli1, Marco Riboldi2, Christopher Kurz3, Elisabetta De Bernardi4, Julia Bauer5, Giulia Fontana6, Mario Ciocca7, Katia Parodi8, Guido Baroni9.   

Abstract

The purpose of this paper is to describe the experiments and methods that led to the geometrical interpretation of new-generation commercial PET-CT scanners, finalized to off-line PET-based treatment verification in ion beam therapy. Typically, the geometrical correspondence between the image domain (i.e., the dicom PET) and the sinogram domain (i.e., the PET raw data) is not explicitly described by scanner vendors. Hence, the proposed characterization can be applied to commercial PET-CT scanners used in biomedical research, for the development of technologies and methods requiring the use of PET raw data, without having access to confidential information from the vendors.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Keywords:  Biomedical imaging; Data interpretation; PET imaging; PET raw data; dicom PET image

Mesh:

Year:  2014        PMID: 24766905     DOI: 10.1016/j.compmedimag.2014.03.008

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN: 0895-6111            Impact factor:   4.790


  1 in total

1.  A sinogram warping strategy for pre-reconstruction 4D PET optimization.

Authors:  Chiara Gianoli; Marco Riboldi; Giulia Fontana; Christopher Kurz; Katia Parodi; Guido Baroni
Journal:  Med Biol Eng Comput       Date:  2015-07-01       Impact factor: 2.602

  1 in total

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