Deep learning, another important tool for improving acquisition efficiency in SPECT MPI Imaging
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging
Link
https://link.springer.com/content/pdf/10.1007/s12350-020-02188-z.pdf
Reference21 articles.
1. Cerqueira MD, Allman KC, Ficaro EP, et al. Recommendations for reducing radiation exposure in myocardial perfusion imaging. J Nucl Cardiol 2010;17:709-18. https://doi.org/10.1007/s12350-010-9244-0.
2. Al Badarin FJ, Spertus JA, Bateman TM, et al. Drivers of radiation dose reduction with myocardial perfusion imaging: A large health system experience. J Nucl Cardiol 2019. https://doi.org/10.1007/s12350-018-01576-w.
3. van Dijk JD, Mouden M, Ottervanger JP, et al. Value of attenuation correction in stress-only myocardial perfusion imaging using CZT-SPECT. J Nucl Cardiol 2017;24:395-401. https://doi.org/10.1007/s12350-015-0374-2.
4. Pretorius PH, Ramon AJ, King MA, et al. Retrospective fractional dose reduction in Tc-99m cardiac perfusion SPECT/CT patients: A human and model observer study. J Nucl Cardiol 2019. https://doi.org/10.1007/s12350-019-01743-7.
5. DePuey EG, Gadiraju R, Clark J, et al. Ordered subset expectation maximization and wide beam reconstruction “half-time” gated myocardial perfusion SPECT functional imaging: A comparison to “full-time” filtered backprojection. J Nucl Cardiol 2008;15:547-63.
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