Literature DB >> 35663419

Ultrafast timing enables reconstruction-free positron emission imaging.

Sun Il Kwon1, Ryosuke Ota2, Eric Berg1, Fumio Hashimoto2, Kyohei Nakajima3, Izumi Ogawa3, Yoichi Tamagawa3, Tomohide Omura2, Tomoyuki Hasegawa4, Simon R Cherry1.   

Abstract

X-ray and gamma-ray photons are widely used for imaging but require a mathematical reconstruction step, known as tomography, to produce cross-sectional images from the measured data. Theoretically, the back-to-back annihilation photons produced by positron-electron annihilation can be directly localized in three-dimensional space using time-of-flight information without tomographic reconstruction. However, this has not yet been demonstrated due to the insufficient timing performance of available radiation detectors. Here, we develop techniques based on detecting prompt Cerenkov photons, which when combined with a convolutional neural network for timing estimation resulted in an average timing precision of 32 picoseconds, corresponding to a spatial precision of 4.8 mm. We show this is sufficient to produce cross-sectional images of a positron-emitting radionuclide directly from the detected coincident annihilation photons, without using any tomographic reconstruction algorithm. The reconstruction-free imaging demonstrated here directly localizes positron emission, and frees the design of an imaging system from the geometric and sampling constraints that normally present for tomographic reconstruction.

Entities:  

Year:  2021        PMID: 35663419      PMCID: PMC9165659          DOI: 10.1038/s41566-021-00871-2

Source DB:  PubMed          Journal:  Nat Photonics        ISSN: 1749-4885            Impact factor:   39.728


  14 in total

1.  Ultrafast microchannel plate photomultipliers.

Authors:  H Kume; K Koyama; K Nakatsugawa; S Suzuki; D Fatlowitz
Journal:  Appl Opt       Date:  1988-03-15       Impact factor: 1.980

2.  GATE V6: a major enhancement of the GATE simulation platform enabling modelling of CT and radiotherapy.

Authors:  S Jan; D Benoit; E Becheva; T Carlier; F Cassol; P Descourt; T Frisson; L Grevillot; L Guigues; L Maigne; C Morel; Y Perrot; N Rehfeld; D Sarrut; D R Schaart; S Stute; U Pietrzyk; D Visvikis; N Zahra; I Buvat
Journal:  Phys Med Biol       Date:  2011-01-20       Impact factor: 3.609

Review 3.  Deep learning.

Authors:  Yann LeCun; Yoshua Bengio; Geoffrey Hinton
Journal:  Nature       Date:  2015-05-28       Impact factor: 49.962

4.  Coincidence time resolution of 30 ps FWHM using a pair of Cherenkov-radiator-integrated MCP-PMTs.

Authors:  R Ota; K Nakajima; I Ogawa; Y Tamagawa; H Shimoi; M Suyama; T Hasegawa
Journal:  Phys Med Biol       Date:  2019-03-29       Impact factor: 3.609

5.  Bismuth germanate coupled to near ultraviolet silicon photomultipliers for time-of-flight PET.

Authors:  Sun Il Kwon; Alberto Gola; Alessandro Ferri; Claudio Piemonte; Simon R Cherry
Journal:  Phys Med Biol       Date:  2016-09-02       Impact factor: 3.609

6.  Using convolutional neural networks to estimate time-of-flight from PET detector waveforms.

Authors:  Eric Berg; Simon R Cherry
Journal:  Phys Med Biol       Date:  2018-01-11       Impact factor: 3.609

7.  Time-of-flight positron emission tomography: status relative to conventional PET.

Authors:  T F Budinger
Journal:  J Nucl Med       Date:  1983-01       Impact factor: 10.057

8.  EM reconstruction algorithms for emission and transmission tomography.

Authors:  K Lange; R Carson
Journal:  J Comput Assist Tomogr       Date:  1984-04       Impact factor: 1.826

9.  Improved single photon time resolution for analog SiPMs with front end readout that reduces influence of electronic noise.

Authors:  Joshua W Cates; Stefan Gundacker; Etiennette Auffray; Paul Lecoq; Craig S Levin
Journal:  Phys Med Biol       Date:  2018-09-19       Impact factor: 3.609

10.  Lead-free MCP to improve coincidence time resolution and reduce MCP direct interactions.

Authors:  R Ota; K Nakajima; I Ogawa; Y Tamagawa; S I Kwon; E Berg; S R Cherry; H Shimoi; Y Hasegawa; H Nishizawa; K Shimano; T Hasegawa
Journal:  Phys Med Biol       Date:  2021-03-17       Impact factor: 3.609

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  3 in total

1.  Deep-TOF-PET: Deep learning-guided generation of time-of-flight from non-TOF brain PET images in the image and projection domains.

Authors:  Amirhossein Sanaat; Azadeh Akhavanalaf; Isaac Shiri; Yazdan Salimi; Hossein Arabi; Habib Zaidi
Journal:  Hum Brain Mapp       Date:  2022-09-10       Impact factor: 5.399

Review 2.  Advances in Preclinical PET.

Authors:  Stephen S Adler; Jurgen Seidel; Peter L Choyke
Journal:  Semin Nucl Med       Date:  2022-03-18       Impact factor: 4.802

3.  High resolution detectors for whole-body PET scanners by using dual-ended readout.

Authors:  Zheng Liu; Ming Niu; Zhonghua Kuang; Ning Ren; San Wu; Longhan Cong; Xiaohui Wang; Ziru Sang; Crispin Williams; Yongfeng Yang
Journal:  EJNMMI Phys       Date:  2022-04-21
  3 in total

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