Literature DB >> 29461254

Lesion detection and quantification performance of the Tachyon-I time-of-flight PET scanner: phantom and human studies.

Xuezhu Zhang1, Qiyu Peng, Jian Zhou, Jennifer S Huber, William W Moses, Jinyi Qi.   

Abstract

The first generation Tachyon PET (Tachyon-I) is a demonstration single-ring PET scanner that reaches a coincidence timing resolution of 314 ps using LSO scintillator crystals coupled to conventional photomultiplier tubes. The objective of this study was to quantify the improvement in both lesion detection and quantification performance resulting from the improved time-of-flight (TOF) capability of the Tachyon-I scanner. We developed a quantitative TOF image reconstruction method for the Tachyon-I and evaluated its TOF gain for lesion detection and quantification. Scans of either a standard NEMA torso phantom or healthy volunteers were used as the normal background data. Separately scanned point source and sphere data were superimposed onto the phantom or human data after accounting for the object attenuation. We used the bootstrap method to generate multiple independent noisy datasets with and without a lesion present. The signal-to-noise ratio (SNR) of a channelized hotelling observer (CHO) was calculated for each lesion size and location combination to evaluate the lesion detection performance. The bias versus standard deviation trade-off of each lesion uptake was also calculated to evaluate the quantification performance. The resulting CHO-SNR measurements showed improved performance in lesion detection with better timing resolution. The detection performance was also dependent on the lesion size and location, in addition to the background object size and shape. The results of bias versus noise trade-off showed that the noise (standard deviation) reduction ratio was about 1.1-1.3 over the TOF 500 ps and 1.5-1.9 over the non-TOF modes, similar to the SNR gains for lesion detection. In conclusion, this Tachyon-I PET study demonstrated the benefit of improved time-of-flight capability on lesion detection and ROI quantification for both phantom and human subjects.

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Year:  2018        PMID: 29461254      PMCID: PMC5933937          DOI: 10.1088/1361-6560/aab0f3

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  37 in total

1.  A theoretical study of the contrast recovery and variance of MAP reconstructions from PET data.

Authors:  J Qi; R M Leahy
Journal:  IEEE Trans Med Imaging       Date:  1999-04       Impact factor: 10.048

2.  Theoretical study of lesion detectability of MAP reconstruction using computer observers.

Authors:  J Qi; R H Huesman
Journal:  IEEE Trans Med Imaging       Date:  2001-08       Impact factor: 10.048

3.  Scatter correction for positron emission mammography.

Authors:  Jinyi Qi; Ronald H Huesman
Journal:  Phys Med Biol       Date:  2002-08-07       Impact factor: 3.609

4.  Comparison of bootstrap resampling methods for 3-D PET imaging.

Authors:  C Lartizien; J-B Aubin; I Buvat
Journal:  IEEE Trans Med Imaging       Date:  2010-04-19       Impact factor: 10.048

5.  Penalized maximum-likelihood image reconstruction for lesion detection.

Authors:  Jinyi Qi; Ronald H Huesman
Journal:  Phys Med Biol       Date:  2006-08-02       Impact factor: 3.609

6.  Detection performance analysis for time-of-flight PET.

Authors:  Nannan Cao; Ronald H Huesman; William W Moses; Jinyi Qi
Journal:  Phys Med Biol       Date:  2010-11-03       Impact factor: 3.609

Review 7.  Focus on time-of-flight PET: the benefits of improved time resolution.

Authors:  Maurizio Conti
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-01-13       Impact factor: 9.236

8.  Optimization of a LSO-Based Detector Module for Time-of-Flight PET.

Authors:  W W Moses; M Janecek; M A Spurrier; P Szupryczynski; W-S Choong; C L Melcher; M Andreaco
Journal:  IEEE Trans Nucl Sci       Date:  2010-06-01       Impact factor: 1.679

9.  Designing a compact high performance brain PET scanner-simulation study.

Authors:  Kuang Gong; Stan Majewski; Paul E Kinahan; Robert L Harrison; Brian F Elston; Ravindra Manjeshwar; Sergei Dolinsky; Alexander V Stolin; Julie A Brefczynski-Lewis; Jinyi Qi
Journal:  Phys Med Biol       Date:  2016-04-15       Impact factor: 3.609

10.  Regularization design in penalized maximum-likelihood image reconstruction for lesion detection in 3D PET.

Authors:  Li Yang; Jian Zhou; Andrea Ferrero; Ramsey D Badawi; Jinyi Qi
Journal:  Phys Med Biol       Date:  2013-12-19       Impact factor: 3.609

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  1 in total

1.  Theoretical study of the benefit of long axial field-of-view PET on region of interest quantification.

Authors:  Xuezhu Zhang; Ramsey D Badawi; Simon R Cherry; Jinyi Qi
Journal:  Phys Med Biol       Date:  2018-06-27       Impact factor: 3.609

  1 in total

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