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Impact of motion correction on [18F]-MK6240 tau PET imaging.
Tiss, Amal; Marin, Thibault; Chemli, Yanis; Spangler-Bickell, Matthew; Gong, Kuang; Lois, Cristina; Petibon, Yoann; Landes, Vanessa; Grogg, Kira; Normandin, Marc; Becker, Alex; Thibault, Emma; Johnson, Keith; El Fakhri, Georges; Ouyang, Jinsong.
Afiliación
  • Tiss A; Gordon Center for Medical Imaging, Department of Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
  • Marin T; Harvard Medical School, Boston MA 02115, United States of America.
  • Chemli Y; Gordon Center for Medical Imaging, Department of Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
  • Spangler-Bickell M; Harvard Medical School, Boston MA 02115, United States of America.
  • Gong K; Gordon Center for Medical Imaging, Department of Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
  • Lois C; Department of Image, Data & Signal, LTCI, Télécom Paris, Institut Polytechnique de Paris, France.
  • Petibon Y; PET/MR Engineering, GE Healthcare, Waukesha, WI, United States of America.
  • Landes V; Gordon Center for Medical Imaging, Department of Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
  • Grogg K; Harvard Medical School, Boston MA 02115, United States of America.
  • Normandin M; Gordon Center for Medical Imaging, Department of Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
  • Becker A; Harvard Medical School, Boston MA 02115, United States of America.
  • Thibault E; Gordon Center for Medical Imaging, Department of Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
  • Johnson K; Harvard Medical School, Boston MA 02115, United States of America.
  • El Fakhri G; GE Healthcare, Boston, MA, United States of America.
  • Ouyang J; Gordon Center for Medical Imaging, Department of Imaging, Massachusetts General Hospital, Boston, MA, United States of America.
Phys Med Biol ; 68(10)2023 05 15.
Article en En | MEDLINE | ID: mdl-37116511
ABSTRACT
Objective. Positron emission tomography (PET) imaging of tau deposition using [18F]-MK6240 often involves long acquisitions in older subjects, many of whom exhibit dementia symptoms. The resulting unavoidable head motion can greatly degrade image quality. Motion increases the variability of PET quantitation for longitudinal studies across subjects, resulting in larger sample sizes in clinical trials of Alzheimer's disease (AD) treatment.Approach. After using an ultra-short frame-by-frame motion detection method based on the list-mode data, we applied an event-by-event list-mode reconstruction to generate the motion-corrected images from 139 scans acquired in 65 subjects. This approach was initially validated in two phantoms experiments against optical tracking data. We developed a motion metric based on the average voxel displacement in the brain to quantify the level of motion in each scan and consequently evaluate the effect of motion correction on images from studies with substantial motion. We estimated the rate of tau accumulation in longitudinal studies (51 subjects) by calculating the difference in the ratio of standard uptake values in key brain regions for AD. We compared the regions' standard deviations across subjects from motion and non-motion-corrected images.Main results. Individually, 14% of the scans exhibited notable motion quantified by the proposed motion metric, affecting 48% of the longitudinal datasets with three time points and 25% of all subjects. Motion correction decreased the blurring in images from scans with notable motion and improved the accuracy in quantitative measures. Motion correction reduced the standard deviation of the rate of tau accumulation by -49%, -24%, -18%, and -16% in the entorhinal, inferior temporal, precuneus, and amygdala regions, respectively.Significance. The list-mode-based motion correction method is capable of correcting both fast and slow motion during brain PET scans. It leads to improved brain PET quantitation, which is crucial for imaging AD.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Enfermedad de Alzheimer Tipo de estudio: Observational_studies Límite: Aged / Humans Idioma: En Revista: Phys Med Biol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Procesamiento de Imagen Asistido por Computador / Enfermedad de Alzheimer Tipo de estudio: Observational_studies Límite: Aged / Humans Idioma: En Revista: Phys Med Biol Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos