Pre-acquired CT-based attenuation correction with automated headrest removal for a brain-dedicated PET system

Bailey DL. Transmission scanning in emission tomography. Eur J Nucl Med. 1998;25(7):774–87. https://doi.org/10.1007/S002590050282.

Article  CAS  PubMed  Google Scholar 

Kinahan PE, Hasegawa BH, Beyer T. X-ray-based attenuation correction for positron emission tomography/computed tomography scanners. Semin Nucl Med. 2003;33(3):166–79. https://doi.org/10.1053/SNUC.2003.127307.

Article  PubMed  Google Scholar 

Tashima H, Yamaya T. Proposed helmet PET geometries with add-on detectors for high sensitivity brain imaging. Phys Med Biol. 2016;61(19):7205–20. https://doi.org/10.1088/0031-9155/61/19/7205.

Article  PubMed  Google Scholar 

Watanabe M, et al. Performance evaluation of a high-resolution brain PET scanner using four-layer MPPC DOI detectors. Phys Med Biol. 2017;62(17):7148–66. https://doi.org/10.1088/1361-6560/AA82E8.

Article  CAS  PubMed  Google Scholar 

Yoshida E, et al. 245 ps-TOF brain-dedicated PET prototype with a hemispherical detector arrangement. Phys Med Biol. 2020. https://doi.org/10.1088/1361-6560/AB8C91.

Article  PubMed  Google Scholar 

Akamatsu G, et al. Performance evaluation of VRAIN: a brain-dedicated PET with a hemispherical detector arrangement. Phys Med Biol. 2022. https://doi.org/10.1088/1361-6560/ac9e87.

Article  PubMed  Google Scholar 

Takahashi M, Akamatsu G, Iwao Y, Tashima H, Yoshida E, Yamaya T. Small nuclei identification with a hemispherical brain PET. EJNMMI Phys. 2022;9(1):1–11. https://doi.org/10.1186/S40658-022-00498-4/TABLES/2.

Article  Google Scholar 

Chen W. Clinical applications of PET in brain tumors. J Nucl Med. 2007;48(9):1468–81. https://doi.org/10.2967/JNUMED.106.037689.

Article  PubMed  Google Scholar 

Marinelli M, Positano V, Tucci F, Neglia D, Landini L. Automatic PET-CT image registration method based on mutual information and genetic algorithms. Sci World J. 2012;2012:12. https://doi.org/10.1100/2012/567067.

Article  Google Scholar 

Maes F, Collignon A, Vandermeulen D, Marchal G, Suetens P. Multimodality image registration by maximization of mutual information. IEEE Trans Med Imaging. 1997;16(2):187–98. https://doi.org/10.1109/42.563664.

Article  CAS  PubMed  Google Scholar 

Tashima H, Akamatsu G, Yamashita T, Yamaya T. Scatter correction with image-domain interpolation for TOF helmet-type PET. IEEE NSS/MIC conference record 2021; 1–2.

Verwer EE, et al. Harmonisation of PET/CT contrast recovery performance for brain studies. doi: https://doi.org/10.1007/s00259-021-05201-w/Published.

Ikari Y, et al. Phantom criteria for qualification of brain FDG and amyloid PET across different cameras. EJNMMI Phys. 2016;3(1):1–18. https://doi.org/10.1186/S40658-016-0159-Y/TABLES/4.

Article  Google Scholar 

Sankur B. Survey over image thresholding techniques and quantitative performance evaluation. J Electron Imaging. 2004;13(1):146. https://doi.org/10.1117/1.1631315.

Article  Google Scholar 

Vandenberghe S, Marsden PK. PET-MRI: a review of challenges and solutions in the development of integrated multimodality imaging. Phys Med Biol. 2015;60(4):R115. https://doi.org/10.1088/0031-9155/60/4/R115.

Article  PubMed  Google Scholar 

Sunderland JJ, Christian PE. Quantitative PET/CT scanner performance characterization based upon the Society of Nuclear Medicine and Molecular Imaging Clinical Trials Network oncology clinical simulator phantom. J Nucl Med. 2023;56:145–52.

Article  Google Scholar 

Scheuermann JS, Saffer JR, Karp JS, Levering AM, Siegel BA. Qualification of PET scanners for use in multicenter cancer clinical trials: the American College of Radiology Imaging Network experience. J Nucl Med. 2023;50:1187–93.

Article  Google Scholar 

PET Amyloid Biomarker Committee. 18F-labeled PET tracers targeting amyloid as an imaging biomarker. Quantitative imaging biomarkers alliance. technically confirmed version. Jun 3, 2022. Available from; RSNA.ORG/QIBA

Ladefoged CN, et al. A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients. Neuroimage. 2017;147:346–59. https://doi.org/10.1016/J.NEUROIMAGE.2016.12.010.

Article  PubMed  Google Scholar 

Liu F, Jang H, Kijowski R, Zhao G, Bradshaw T, McMillan AB. A deep learning approach for 18F-FDG PET attenuation correction. EJNMMI Phys. 2018;5(1):1–15. https://doi.org/10.1186/S40658-018-0225-8.

Article  Google Scholar 

Dong X, et al. Synthetic CT generation from non-attenuation corrected PET images for whole-body PET imaging. Phys Med Biol. 2019. https://doi.org/10.1088/1361-6560/AB4EB7.

Article  PubMed  PubMed Central  Google Scholar 

Lee JS. A review of deep-learning-based approaches for attenuation correction in positron emission tomography. IEEE Trans Radiat Plasma Med Sci. 2021;5(2):160–84. https://doi.org/10.1109/TRPMS.2020.3009269.

Article  Google Scholar 

Rezaei A, Defrise M, Nuyts J. ML-reconstruction for TOF-PET with simultaneous estimation of the attenuation factors. IEEE Trans Med Imaging. 2014;33(7):1563–72. https://doi.org/10.1109/TMI.2014.2318175.

Article  PubMed  Google Scholar 

Chun SY, Kim KY, Lee JS, Fessier JA. Joint estimation of activity distribution and attenuation map for TOF-PET using alternating direction method of multiplier. Proceedings - International Symposium on Biomedical Imaging, 2016;pp. 86–89. doi: https://doi.org/10.1109/ISBI.2016.7493217.

Chilamkurthy S, et al. Development and validation of deep learning algorithms for detection of critical findings in head CT scans. 2018; Accessed: 13 Jun 2022. [Online]. Available: http://arxiv.org/abs/1803.05854

Boellaard R, Hofman MBM, Hoekstra OS, Lammertsma AA. Accurate PET/MR quantification using time-of-flight MLAA image reconstruction. Mol Imag Biol. 2014;16:469–77.

Article  CAS  Google Scholar 

Rezaei A, et al. Simultaneous reconstruction of activity and attenuation in time-of-flight PET. IEEE Trans Med Imag. 2023;31:2224–33.

Article  Google Scholar 

Lecoq P, et al. Roadmap toward the 10 ps time-of-flight PET challenge. Phys Med Biol. 2023;65:2101.

Article  Google Scholar 

留言 (0)

沒有登入
gif