Data-Driven Respiratory Motion Correction in Clinical PET - A Turning Point.
暂无分享,去创建一个
[1] Wolfgang A Weber,et al. Small Data: A Ubiquitous, Yet Untapped, Resource for Low-Cost Imaging Innovation , 2017, The Journal of Nuclear Medicine.
[2] Yun Dong,et al. Self-Gating: An Adaptive Center-of-Mass Approach for Respiratory Gating in PET , 2018, IEEE Transactions on Medical Imaging.
[3] Adam L Kesner,et al. On noting the achievements and future potential of data-driven gating for respiratory motion correction in PET imaging. , 2014, Nuclear medicine communications.
[4] Kevin M Bradley,et al. Evaluation of principal component analysis-based data-driven respiratory gating for positron emission tomography , 2018, The British journal of radiology.
[5] Adam Leon Kesner. The relevance of data driven motion correction in diagnostic PET , 2017, European Journal of Nuclear Medicine and Molecular Imaging.
[6] Adam Kesner,et al. Real-time data-driven motion correction in PET , 2019, EJNMMI Physics.
[7] M. Walker,et al. Data-Driven Respiratory Gating Outperforms Device-Based Gating for Clinical 18F-FDG PET/CT , 2020, The Journal of Nuclear Medicine.
[8] Florian Büther,et al. Detection of respiratory tumour motion using intrinsic list mode-driven gating in positron emission tomography , 2010, European Journal of Nuclear Medicine and Molecular Imaging.
[9] M. Walker,et al. Evaluation of data-driven respiratory gating waveforms for clinical PET imaging , 2019, EJNMMI Research.
[10] P. Marsden,et al. Retrospective data-driven respiratory gating for PET/CT , 2008, Physics in medicine and biology.
[11] Phillip J Koo,et al. Carpe Datum: A Consideration of the Barriers and Potential of Data-Driven PET Innovation. , 2016, Journal of the American College of Radiology : JACR.