Literature DB >> 9101323

Motion correction of PET images using multiple acquisition frames.

Y Picard1, C J Thompson.   

Abstract

Positron emission tomography (PET) is a relatively lengthy brain imaging method. Because it is difficult for the subject to stay still during the data acquisition, head motion during scans is a source of image degradation. A simple data acquisition technique to reduce the effect of this problem is described. The technique associates the incoming data with the real-space position of the head. During the PET scan, the head position is constantly monitored with two video cameras and compared to its initial position. Every time the displacement for a region within the field of view (FOV) is larger than a specified threshold displacement, the PET data acquisition system starts to save the PET data in a new frame. The total number of frames required for a complete study depends on the magnitude of the head motion during the study and on the threshold displacement. At the end of the study, all the acquired frames are reconstructed independently and each image is rotated and translated to coincide with the initial position. When these images are summed, they produce a final image with fewer motion artefacts.

Mesh:

Year:  1997        PMID: 9101323     DOI: 10.1109/42.563659

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  42 in total

1.  Estimation of the Rigid-Body Motion from Three-Dimensional Images Using a Generalized Center-of-Mass Points Approach.

Authors:  B Feng; P P Bruyant; P H Pretorius; R D Beach; H C Gifford; J Dey; M Gennert; M A King
Journal:  IEEE Trans Nucl Sci       Date:  2006-10       Impact factor: 1.679

2.  An event-driven motion correction method for neurological PET studies of awake laboratory animals.

Authors:  Victor W Zhou; Andre Z Kyme; Steven R Meikle; Roger Fulton
Journal:  Mol Imaging Biol       Date:  2008-08-01       Impact factor: 3.488

3.  Evaluation of motion correction methods in human brain PET imaging--a simulation study based on human motion data.

Authors:  Xiao Jin; Tim Mulnix; Jean-Dominique Gallezot; Richard E Carson
Journal:  Med Phys       Date:  2013-10       Impact factor: 4.071

Review 4.  From simultaneous to synergistic MR-PET brain imaging: A review of hybrid MR-PET imaging methodologies.

Authors:  Zhaolin Chen; Sharna D Jamadar; Shenpeng Li; Francesco Sforazzini; Jakub Baran; Nicholas Ferris; Nadim Jon Shah; Gary F Egan
Journal:  Hum Brain Mapp       Date:  2018-08-04       Impact factor: 5.038

5.  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

Review 6.  PET/MRI for neurologic applications.

Authors:  Ciprian Catana; Alexander Drzezga; Wolf-Dieter Heiss; Bruce R Rosen
Journal:  J Nucl Med       Date:  2012-11-09       Impact factor: 10.057

7.  Awake nonhuman primate brain PET imaging with minimal head restraint: evaluation of GABAA-benzodiazepine binding with 11C-flumazenil in awake and anesthetized animals.

Authors:  Christine M Sandiego; Xiao Jin; Tim Mulnix; Krista Fowles; David Labaree; Jim Ropchan; Yiyun Huang; Kelly Cosgrove; Stacy A Castner; Graham V Williams; Lisa Wells; Eugenii A Rabiner; Richard E Carson
Journal:  J Nucl Med       Date:  2013-10-10       Impact factor: 10.057

8.  Evaluation of frame-based and event-by-event motion-correction methods for awake monkey brain PET imaging.

Authors:  Xiao Jin; Tim Mulnix; Christine M Sandiego; Richard E Carson
Journal:  J Nucl Med       Date:  2014-01-16       Impact factor: 10.057

9.  Movement correction method for human brain PET images: application to quantitative analysis of dynamic 18F-FDDNP scans.

Authors:  Mirwais Wardak; Koon-Pong Wong; Weber Shao; Magnus Dahlbom; Vladimir Kepe; Nagichettiar Satyamurthy; Gary W Small; Jorge R Barrio; Sung-Cheng Huang
Journal:  J Nucl Med       Date:  2010-01-15       Impact factor: 10.057

10.  Accurate event-driven motion compensation in high-resolution PET incorporating scattered and random events.

Authors:  Arman Rahmim; Katie Dinelle; Ju-Chieh Cheng; Mikhail A Shilov; William P Segars; Sarah C Lidstone; Stephan Blinder; Olivier G Rousset; Hamid Vajihollahi; Benjamin M W Tsui; Dean F Wong; Vesna Sossi
Journal:  IEEE Trans Med Imaging       Date:  2008-08       Impact factor: 10.048

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