2021
DOI: 10.1002/mp.14654
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Sub‐2 mm depth of interaction localization in PET detectors with prismatoid light guide arrays and single‐ended readout using convolutional neural networks

Abstract: Purpose Depth of interaction (DOI) readout in PET imaging has been researched in efforts to mitigate parallax error, which would enable the development of small diameter, high‐resolution PET scanners. However, DOI PET has not yet been commercialized due to the lack of practical, cost‐effective, and data efficient DOI readout methods. The rationale for this study was to develop a supervised machine learning algorithm for DOI estimation in PET that can be trained and deployed on unique sets of crystals. Methods … Show more

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Cited by 17 publications
(12 citation statements)
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“…The best timing resolution performance of Prism-PET modules in head-on configuration with DOI filter (4-to-1 Prism-PET module, ∼254 ps) is close to that of the state-of-the-art TOF PET scanner, Siemens Biograph Vision [30], although investigation and verification at the system level should be implemented in the near future. However, it is significant to note that the PET module with single-ended readout and uniform glass light guide has achieved up to 157 ps FWHM CTR using depth correction techniques [18], which we have looked into by exploring the potential of the machine-learning using a convolutional neural network (CNN) in training our collected data to improve the DOI resolution and hence achieve better CTR [19], [23], [31].…”
Section: Discussionmentioning
confidence: 99%
“…The best timing resolution performance of Prism-PET modules in head-on configuration with DOI filter (4-to-1 Prism-PET module, ∼254 ps) is close to that of the state-of-the-art TOF PET scanner, Siemens Biograph Vision [30], although investigation and verification at the system level should be implemented in the near future. However, it is significant to note that the PET module with single-ended readout and uniform glass light guide has achieved up to 157 ps FWHM CTR using depth correction techniques [18], which we have looked into by exploring the potential of the machine-learning using a convolutional neural network (CNN) in training our collected data to improve the DOI resolution and hence achieve better CTR [19], [23], [31].…”
Section: Discussionmentioning
confidence: 99%
“…Both scanners consist of 14 detector rings and 40 detector blocks per ring, forming an axial FOV of 37.2 cm. Such a compact geometry is only possible thanks to the high DOI resolution of the Prism‐PET modules 65,69 …”
Section: Methodsmentioning
confidence: 99%
“…The ground truth DOI was calculated based on the distance from the hit position to the surface of the corresponding crystal. In order to accurately simulate the DOI performance of the Prism‐PET detector modules, Gaussian noise with 4 and 2 mm full width at half maximum (FWHM) was added to the ground truth DOI of the Prism‐PET 1 mm and 1.5 mm scanners, respectively 65,68,69 …”
Section: Methodsmentioning
confidence: 99%
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“…(2) Arranging a light guide at the top of the crystal arrays to guide the optical photons to specific photodetectors and thus decode the DOI. LaBella et al designed and fabricated a novel prismatoid light-guide array that realized a DOI resolution of 2.5 mm and an energy resolution of 9% [29,30]. Continuous crystals are also used in small animal PET scanners [31].…”
Section: Introductionmentioning
confidence: 99%