Literature DB >> 22763629

Head motion evaluation and correction for PET scans with 18F-FDG in the Japanese Alzheimer's disease neuroimaging initiative (J-ADNI) multi-center study.

Yasuhiko Ikari1, Tomoyuki Nishio, Yoko Makishi, Yukari Miya, Kengo Ito, Robert A Koeppe, Michio Senda.   

Abstract

OBJECTIVE: Head motion during 30-min (six 5-min frames) brain PET scans starting 30 min post-injection of FDG was evaluated together with the effect of post hoc motion correction between frames in J-ADNI multicenter study carried out in 24 PET centers on a total of 172 subjects consisting of 81 normal subjects, 55 mild cognitive impairment (MCI) and 36 mild Alzheimer's disease (AD) patients.
METHODS: Based on the magnitude of the between-frame co-registration parameters, the scans were classified into six levels (A-F) of motion degree. The effect of motion and its correction was evaluated using between-frame variation of the regional FDG uptake values on ROIs placed over cerebral cortical areas. RESULT: Although AD patients tended to present larger motion (motion level E or F in 22 % of the subjects) than MCI (3 %) and normal (4 %) subjects, unignorable motion was observed in a small number of subjects in the latter groups as well. The between-frame coefficient of variation (SD/mean) was 0.5 % in the frontal, 0.6 % in the parietal and 1.8 % in the posterior cingulate ROI for the scans of motion level 1. The respective values were 1.5, 1.4, and 3.6 % for the scans of motion level F, but reduced by the motion correction to 0.5, 0.4 and 0.8 %, respectively. The motion correction changed the ROI value for the posterior cingulate cortex by 11.6 % in the case of severest motion.
CONCLUSION: Substantial head motion occurs in a fraction of subjects in a multicenter setup which includes PET centers lacking sufficient experience in imaging demented patients. A simple frame-by-frame co-registration technique that can be applied to any PET camera model is effective in correcting for motion and improving quantitative capability.

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Year:  2012        PMID: 22763629     DOI: 10.1007/s12149-012-0605-4

Source DB:  PubMed          Journal:  Ann Nucl Med        ISSN: 0914-7187            Impact factor:   2.668


  18 in total

1.  MR-assisted PET motion correction in simultaneous PET/MRI studies of dementia subjects.

Authors:  Kevin T Chen; Stephanie Salcedo; Daniel B Chonde; David Izquierdo-Garcia; Michael A Levine; Julie C Price; Bradford C Dickerson; Ciprian Catana
Journal:  J Magn Reson Imaging       Date:  2018-03-08       Impact factor: 4.813

2.  Visual-statistical interpretation of (18)F-FDG-PET images for characteristic Alzheimer patterns in a multicenter study: inter-rater concordance and relationship to automated quantitative evaluation.

Authors:  T Yamane; Y Ikari; T Nishio; K Ishii; K Ishii; T Kato; K Ito; D H S Silverman; M Senda; T Asada; H Arai; M Sugishita; T Iwatsubo
Journal:  AJNR Am J Neuroradiol       Date:  2013-08-01       Impact factor: 3.825

3.  Inter-rater variability of visual interpretation and comparison with quantitative evaluation of 11C-PiB PET amyloid images of the Japanese Alzheimer's Disease Neuroimaging Initiative (J-ADNI) multicenter study.

Authors:  Tomohiko Yamane; Kenji Ishii; Muneyuki Sakata; Yasuhiko Ikari; Tomoyuki Nishio; Kazunari Ishii; Takashi Kato; Kengo Ito; Michio Senda
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-12-13       Impact factor: 9.236

4.  4D flow MRI assessment of extracranial-intracranial bypass: qualitative and quantitative evaluation of the hemodynamics.

Authors:  Tetsuro Sekine; Ryo Takagi; Yasuo Amano; Yasuo Murai; Erika Orita; Yoshio Matsumura; Shin-Ichiro Kumita
Journal:  Neuroradiology       Date:  2015-12-02       Impact factor: 2.804

5.  An Efficient Approach to Perform MR-assisted PET Data Optimization in Simultaneous PET/MR Neuroimaging Studies.

Authors:  Kevin T Chen; Stephanie Salcedo; Kuang Gong; Daniel B Chonde; David Izquierdo-Garcia; Alexander E Drzezga; Bruce Rosen; Jinyi Qi; Bradford C Dickerson; Ciprian Catana
Journal:  J Nucl Med       Date:  2018-06-22       Impact factor: 10.057

6.  Improved Accuracy of Amyloid PET Quantification with Adaptive Template-Based Anatomic Standardization.

Authors:  Yuma Tsubaki; Takayoshi Kitamura; Natsumi Shimokawa; Go Akamatsu; Masayuki Sasaki
Journal:  J Nucl Med Technol       Date:  2021-04-05

7.  Ultra-Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs.

Authors:  Kevin T Chen; Enhao Gong; Fabiola Bezerra de Carvalho Macruz; Junshen Xu; Athanasia Boumis; Mehdi Khalighi; Kathleen L Poston; Sharon J Sha; Michael D Greicius; Elizabeth Mormino; John M Pauly; Shyam Srinivas; Greg Zaharchuk
Journal:  Radiology       Date:  2018-12-11       Impact factor: 29.146

Review 8.  Imago Mundi, Imago AD, Imago ADNI.

Authors:  Victor L Villemagne; Seong Yoon Kim; Christopher C Rowe; Takeshi Iwatsubo
Journal:  Alzheimers Res Ther       Date:  2014-08-29       Impact factor: 6.982

9.  4D Flow MR Imaging of Ophthalmic Artery Flow in Patients with Internal Carotid Artery Stenosis.

Authors:  Tetsuro Sekine; Ryo Takagi; Yasuo Amano; Yasuo Murai; Erika Orita; Yoshimitsu Fukushima; Yoshio Matsumura; Shin-Ichiro Kumita
Journal:  Magn Reson Med Sci       Date:  2017-03-27       Impact factor: 2.471

Review 10.  Diagnostic accuracy of (18)F amyloid PET tracers for the diagnosis of Alzheimer's disease: a systematic review and meta-analysis.

Authors:  Elizabeth Morris; Anastasia Chalkidou; Alexander Hammers; Janet Peacock; Jennifer Summers; Stephen Keevil
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-11-28       Impact factor: 9.236

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