Data-Driven Respiratory Motion Correction in Clinical PET - A Turning Point.

[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.