ArticleAnnals of nuclear medicine2022
Brain PET motion correction using 3D face-shape model: the first clinical study.
Article in Annals of nuclear medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Brain PET in the era of anti-amyloid-β antibody therapy for Alzheimer disease.Japanese journal of radiology · 2026Review
- Technical Optimization Strategies for Amyloid PET Under Challenging Acquisition Conditions: A Comprehensive Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Quantitative validation of data-driven motion correction for brain PET using phantom with motion generator system.EJNMMI physics · 2025Article
- Future prospects for image-derived input function in molecular imaging quantification with the 7 T MR-BrainPET insert.Frontiers in neuroscience · 2025Article
- Validation and Evaluation of a Vendor-Provided Head Motion Correction Algorithm on the uMI Panorama PET/CT System.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Article
- Markerless head motion tracking and event-by-event correction in brain PET.Physics in medicine and biology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveHead motions during brain PET scan cause degradation of brain images, but head fixation or external-maker attachment become burdensome on patients. Therefore, we have developed a motion correction method that uses a 3D face-shape model generated by a range-sensing camera (Kinect) and by CT images. We have successfully corrected the PET images of a moving mannequin-head phantom containing radioactivity. Here, we conducted a volunteer study to verify the effectiveness of our method for clinical data.
methodsEight healthy men volunteers aged 22-45 years underwent a 10-min head-fixed PET scan as a standard of truth in this study, which was started 45 min after
resultsNo difference was identified visually and statistically in SUVRs between the head-moving PET images with motion correction and the head-fixed PET images. One of the small nuclei, the inferior colliculus, was identified in the head-fixed PET images and in the head-moving PET images with motion correction, but not in those without motion correction. In the test-retest experiment, the SUVRs were well correlated (determinant coefficient, r
conclusionOur motion correction method provided good accuracy for the volunteer data which suggested it is useable in clinical settings.
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