Super-resolution in brain positron emission tomography using a real-time motion capture system
Super-resolution (SR) is a methodology that seeks to improve image resolution by exploiting the increased spatial sampling information obtained from multiple acquisitions of the same target with accurately known sub-resolution shifts. This work aims to develop and evaluate an SR estimation framework...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-05-01
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| Series: | NeuroImage |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1053811923002021 |
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| author | Yanis Chemli Marc-André Tétrault Thibault Marin Marc D. Normandin Isabelle Bloch Georges El Fakhri Jinsong Ouyang Yoann Petibon |
| author_facet | Yanis Chemli Marc-André Tétrault Thibault Marin Marc D. Normandin Isabelle Bloch Georges El Fakhri Jinsong Ouyang Yoann Petibon |
| author_sort | Yanis Chemli |
| collection | DOAJ |
| description | Super-resolution (SR) is a methodology that seeks to improve image resolution by exploiting the increased spatial sampling information obtained from multiple acquisitions of the same target with accurately known sub-resolution shifts. This work aims to develop and evaluate an SR estimation framework for brain positron emission tomography (PET), taking advantage of a high-resolution infra-red tracking camera to measure shifts precisely and continuously. Moving phantoms and non-human primate (NHP) experiments were performed on a GE Discovery MI PET/CT scanner (GE Healthcare) using an NDI Polaris Vega (Northern Digital Inc), an external optical motion tracking device. To enable SR, a robust temporal and spatial calibration of the two devices was developed as well as a list-mode Ordered Subset Expectation Maximization PET reconstruction algorithm, incorporating the high-resolution tracking data from the Polaris Vega to correct motion for measured line of responses on an event-by-event basis. For both phantoms and NHP studies, the SR reconstruction method yielded PET images with visibly increased spatial resolution compared to standard static acquisitions, allowing improved visualization of small structures. Quantitative analysis in terms of SSIM, CNR and line profiles were conducted and validated our observations. The results demonstrate that SR can be achieved in brain PET by measuring target motion in real-time using a high-resolution infrared tracking camera. |
| first_indexed | 2024-04-09T18:16:45Z |
| format | Article |
| id | doaj.art-8bba1f24a18d4110b87630a368e92d42 |
| institution | Directory Open Access Journal |
| issn | 1095-9572 |
| language | English |
| last_indexed | 2024-04-09T18:16:45Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | NeuroImage |
| spelling | doaj.art-8bba1f24a18d4110b87630a368e92d422023-04-13T04:26:07ZengElsevierNeuroImage1095-95722023-05-01272120056Super-resolution in brain positron emission tomography using a real-time motion capture systemYanis Chemli0Marc-André Tétrault1Thibault Marin2Marc D. Normandin3Isabelle Bloch4Georges El Fakhri5Jinsong Ouyang6Yoann Petibon7Gordon Center for Medical Imaging, Department of Radiology Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; LTCI, Télécom Paris, Institut Polytechnique de Paris, FranceDepartment of Computer Engineering, Université de Sherbrooke, Sherbrooke, QC, CanadaGordon Center for Medical Imaging, Department of Radiology Massachusetts General Hospital, Harvard Medical School, Boston, MA, United StatesGordon Center for Medical Imaging, Department of Radiology Massachusetts General Hospital, Harvard Medical School, Boston, MA, United StatesSorbonne Université, CNRS, LIP6, Paris, France; LTCI, Télécom Paris, Institut Polytechnique de Paris, FranceGordon Center for Medical Imaging, Department of Radiology Massachusetts General Hospital, Harvard Medical School, Boston, MA, United StatesGordon Center for Medical Imaging, Department of Radiology Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States; Corresponding author at: 125 Nashua St. Suite 660, Boston, MA 02114-1101.Gordon Center for Medical Imaging, Department of Radiology Massachusetts General Hospital, Harvard Medical School, Boston, MA, United StatesSuper-resolution (SR) is a methodology that seeks to improve image resolution by exploiting the increased spatial sampling information obtained from multiple acquisitions of the same target with accurately known sub-resolution shifts. This work aims to develop and evaluate an SR estimation framework for brain positron emission tomography (PET), taking advantage of a high-resolution infra-red tracking camera to measure shifts precisely and continuously. Moving phantoms and non-human primate (NHP) experiments were performed on a GE Discovery MI PET/CT scanner (GE Healthcare) using an NDI Polaris Vega (Northern Digital Inc), an external optical motion tracking device. To enable SR, a robust temporal and spatial calibration of the two devices was developed as well as a list-mode Ordered Subset Expectation Maximization PET reconstruction algorithm, incorporating the high-resolution tracking data from the Polaris Vega to correct motion for measured line of responses on an event-by-event basis. For both phantoms and NHP studies, the SR reconstruction method yielded PET images with visibly increased spatial resolution compared to standard static acquisitions, allowing improved visualization of small structures. Quantitative analysis in terms of SSIM, CNR and line profiles were conducted and validated our observations. The results demonstrate that SR can be achieved in brain PET by measuring target motion in real-time using a high-resolution infrared tracking camera.http://www.sciencedirect.com/science/article/pii/S1053811923002021Super-resolutionPET/CT3D brain PET imagingReal timeTrackingReconstruction |
| spellingShingle | Yanis Chemli Marc-André Tétrault Thibault Marin Marc D. Normandin Isabelle Bloch Georges El Fakhri Jinsong Ouyang Yoann Petibon Super-resolution in brain positron emission tomography using a real-time motion capture system NeuroImage Super-resolution PET/CT 3D brain PET imaging Real time Tracking Reconstruction |
| title | Super-resolution in brain positron emission tomography using a real-time motion capture system |
| title_full | Super-resolution in brain positron emission tomography using a real-time motion capture system |
| title_fullStr | Super-resolution in brain positron emission tomography using a real-time motion capture system |
| title_full_unstemmed | Super-resolution in brain positron emission tomography using a real-time motion capture system |
| title_short | Super-resolution in brain positron emission tomography using a real-time motion capture system |
| title_sort | super resolution in brain positron emission tomography using a real time motion capture system |
| topic | Super-resolution PET/CT 3D brain PET imaging Real time Tracking Reconstruction |
| url | http://www.sciencedirect.com/science/article/pii/S1053811923002021 |
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