Literature DB >> 17138736

Correction of head movement on PET studies: comparison of methods.

Andrew J Montgomery1, Kris Thielemans, Mitul A Mehta, Federico Turkheimer, Sanida Mustafovic, Paul M Grasby.   

Abstract

UNLABELLED: Head movement presents a continuing problem in PET studies. Head restraint minimizes movement but is unreliable, resulting in the need to develop alternative strategies. These include frame-by-frame (FBF) realignment or use of motion tracking (MT) during the scan to realign PET acquisition data. Here we present a comparative analysis of these 2 methods of motion correction.
METHODS: Eight volunteers were examined at rest using (11)C-raclopride PET with the radioligand administered as a bolus followed by constant infusion to achieve steady state. Binding potential (BP) was estimated using the ratio method during 2 periods of the scan at steady state. Head movement was compensated by using coregistration between frames (FBF) and 3 methods using MT measurements of head position acquired with a commercially available optical tracking system.
RESULTS: All methods of realignment improved test-retest reliability and noise characteristics of the raw data, with important consequences for the power to detect small changes in radiotracer binding, and the potential to reduce false-positive and false-negative results. MT methods were superior to FBF realignment using coregistration on some indices.
CONCLUSION: Such methods have considerable potential to improve the reliability of PET data with important implications for the numbers of volunteers required to test hypotheses.

Entities:  

Mesh:

Year:  2006        PMID: 17138736

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  53 in total

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2.  Microglial Activity in People at Ultra High Risk of Psychosis and in Schizophrenia: An [(11)C]PBR28 PET Brain Imaging Study.

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Journal:  Am J Psychiatry       Date:  2015-10-16       Impact factor: 18.112

3.  Image coregistration: quantitative processing framework for the assessment of brain lesions.

Authors:  Hannu Huhdanpaa; Darryl H Hwang; Gregory G Gasparian; Michael T Booker; Yong Cen; Alexander Lerner; Orest B Boyko; John L Go; Paul E Kim; Anandh Rajamohan; Meng Law; Mark S Shiroishi
Journal:  J Digit Imaging       Date:  2014-06       Impact factor: 4.056

Review 4.  Positron emission tomography molecular imaging in late-life depression.

Authors:  Kentaro Hirao; Gwenn S Smith
Journal:  J Geriatr Psychiatry Neurol       Date:  2014-01-05       Impact factor: 2.680

5.  Use of MRI to assess the prediction of heart motion with gross body motion in myocardial perfusion imaging by stereotracking of markers on the body surface.

Authors:  Michael A King; Joyoni Dey; Karen Johnson; Paul Dasari; Joyeeta M Mukherjee; Joseph E McNamara; Arda Konik; Cliff Lindsay; Shaokuan Zheng; Dennis Coughlin
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

6.  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

7.  The effect of head movement on CT perfusion summary maps: simulations with CT hybrid phantom data.

Authors:  F Fahmi; A Riordan; L F M Beenen; G J Streekstra; N Y Janssen; H W de Jong; C B L Majoie; E van Bavel; H A Marquering
Journal:  Med Biol Eng Comput       Date:  2013-10-30       Impact factor: 2.602

8.  MRI-based nonrigid motion correction in simultaneous PET/MRI.

Authors:  Se Young Chun; Timothy G Reese; Jinsong Ouyang; Bastien Guerin; Ciprian Catana; Xuping Zhu; Nathaniel M Alpert; Georges El Fakhri
Journal:  J Nucl Med       Date:  2012-06-28       Impact factor: 10.057

9.  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

10.  Multimodal partial volume correction: Application to [11C]PIB PET/MRI myelin imaging in multiple sclerosis.

Authors:  Elisabetta Grecchi; Mattia Veronese; Benedetta Bodini; Daniel García-Lorenzo; Marco Battaglini; Bruno Stankoff; Federico E Turkheimer
Journal:  J Cereb Blood Flow Metab       Date:  2017-06-01       Impact factor: 6.200

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