Literature DB >> 27157813

Respiratory Motion Correction Strategies in Thoracic PET-CT Imaging.

Sadek A Nehmeh1.   

Abstract

PET-CT scanners allow robust and synergistic fusion of anatomic and functional information, which has improved sensitivity, specificity, and enhancement in the value of PET and CT when assessing tumor response to therapy. Breathing motion and the difference in time resolutions commonly cause motion artifacts and spatial mismatch between the corresponding image sets. Correction for the breathing-induced artifacts represents a particular challenge. This article summarizes the materials, methods, and results involved in multiple investigations of the correction for respiratory motion in PET-CT imaging of the thorax. Some methods use respiratory-phase data selection, whereas others have adopted sophisticated software techniques.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Year:  2012        PMID: 27157813     DOI: 10.1016/j.cpet.2012.10.004

Source DB:  PubMed          Journal:  PET Clin        ISSN: 1556-8598


  4 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

2.  Data-driven, projection-based respiratory motion compensation of PET data for cardiac PET/CT and PET/MR imaging.

Authors:  Martin Lyngby Lassen; Thomas Beyer; Alexander Berger; Dietrich Beitzke; Sazan Rasul; Florian Büther; Marcus Hacker; Jacobo Cal-González
Journal:  J Nucl Cardiol       Date:  2019-02-13       Impact factor: 5.952

3.  Dynamic whole-body PET parametric imaging: I. Concept, acquisition protocol optimization and clinical application.

Authors:  Nicolas A Karakatsanis; Martin A Lodge; Abdel K Tahari; Y Zhou; Richard L Wahl; Arman Rahmim
Journal:  Phys Med Biol       Date:  2013-09-30       Impact factor: 3.609

4.  A preliminary evaluation of a high temporal resolution data-driven motion correction algorithm for rubidium-82 on a SiPM PET-CT system.

Authors:  Ian S Armstrong; Charles Hayden; Matthew J Memmott; Parthiban Arumugam
Journal:  J Nucl Cardiol       Date:  2020-05-21       Impact factor: 5.952

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.