SPECT/CT: an update on technological developments and clinical applications von Ljungberg, Michael, Pretorius, P Hendrik

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Cross-vender, cross-tracer, and cross-protocol deep transfer learning for attenuation map generation of cardiac SPECT von Chen, Xiongchao, Hendrik Pretorius, P., Zhou, Bo, Liu, Hui, Johnson, Karen, Liu, Yi-Hwa, King, Michael A., Liu, Chi

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A novel deep-learning–based approach for automatic reorientation of 3D cardiac SPECT images von Zhang, Duo, Pretorius, P. Hendrik, Lin, Kaixian, Miao, Weibing, Li, Jingsong, King, Michael A., Zhu, Wentao

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Investigation of the physical effects of respiratory motion compensation in a large population of patients undergoing Tc-99m cardiac perfusion SPECT/CT stress imaging von Pretorius, P. Hendrik, Johnson, Karen L., Dahlberg, Seth T., King, Michael A.

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Evaluation of different respiratory gating schemes for cardiac SPECT von Zhang, Duo, Pretorius, P. Hendrik, Ghaly, Michael, Zhang, Qi, King, Michael A., Mok, Greta S.P.

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Improving detection accuracy of perfusion defect in standard dose SPECT-myocardial perfusion imaging by deep-learning denoising von Liu, Junchi, Yang, Yongyi, Wernick, Miles N., Pretorius, P. Hendrik, Slomka, Piotr J., King, Michael A.

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Cardiac motion correction for improving perfusion defect detection in cardiac SPECT at standard and reduced doses of activity von Song, Chao, Yang, Yongyi, Wernick, Miles N, Pretorius, P Hendrik, Slomka, Piotr J, King, Michael A

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Observer studies of image quality of denoising reduced-count cardiac single photon emission computed tomography myocardial perfusion imaging by three-dimensional Gaussian post-reco... von Pretorius, P. Hendrik, Liu, Junchi, Kalluri, Kesava S., Jiang, Yulei, Leppo, Jeffery A., Dahlberg, Seth T., Kikut, Janusz, Parker, Matthew W., Keating, Friederike K., Licho, Robert, Auer, Benjamin, Lindsay, Clifford, Konik, Arda, Yang, Yongyi, Wernick, Miles N., King, Michael A.

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Retrospective fractional dose reduction in Tc-99m cardiac perfusion SPECT/CT patients: A human and model observer study von Pretorius, P. Hendrik, Ramon, Albert Juan, King, Michael A., Konik, Arda, Dahlberg, Seth T., Parker, Mathew W., Botkin, Naomi F., Johnson, Karen L., Yang, Yongyi, Wernick, Miles N.

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Evaluation of the effect of reducing administered activity on assessment of function in cardiac gated SPECT von Juan Ramon, Albert, Yang, Yongyi, Wernick, Miles N., Pretorius, P. Hendrik, Johnson, Karen L., Slomka, Piotr J., King, Michael A.

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Scatter and crosstalk corrections for (99m)Tc/(123)I dual-radionuclide imaging using a CZT SPECT system with pinhole collimators von Fan, Peng, Hutton, Brian F, Holstensson, Maria, Ljungberg, Michael, Pretorius, P Hendrik, Prasad, Rameshwar, Ma, Tianyu, Liu, Yaqiang, Wang, Shi, Thorn, Stephanie L, Stacy, Mitchel R, Sinusas, Albert J, Liu, Chi

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Diminishing the impact of the partial volume effect in cardiac SPECT perfusion imaging von Pretorius, P. Hendrik, King, Michael A.

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A review of partial volume correction techniques for emission tomography and their applications in neurology, cardiology and oncology von Erlandsson, Kjell, Buvat, Irène, Pretorius, P Hendrik, Thomas, Benjamin A, Hutton, Brian F

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Effect of Non-Alignment/Alignment of Attenuation Map Without/With Emission Motion Correction in Cardiac SPECT/CT von Dey, Joyoni, Segars, W. Paul, Pretorius, P. Hendrik, King, Michael A.

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Investigation of scatter energy window width and count levels for deep learning-based attenuation map estimation in cardiac SPECT/CT imaging von Chen, Yuan, Pretorius, P Hendrik, Yang, Yongyi, King, Michael A, Lindsay, Clifford

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Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks von Ramon, Albert Juan, Yang, Yongyi, Pretorius, P. Hendrik, Johnson, Karen L., King, Michael A., Wernick, Miles N.

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Respiratory signal estimation for cardiac perfusion SPECT using deep learning von Chen, Yuan, Pretorius, P. Hendrik, Lindsay, Clifford, Yang, Yongyi, King, Michael A.

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Deep learning with noise‐to‐noise training for denoising in SPECT myocardial perfusion imaging von Liu, Junchi, Yang, Yongyi, Wernick, Miles N., Pretorius, P. Hendrik, King, Michael A.

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Data‐driven respiratory signal estimation from temporally finely sampled projection data in conventional cardiac perfusion SPECT imaging von Pretorius, P. Hendrik, King, Michael A.

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A flexible multicamera visual-tracking system for detecting and correcting motion-induced artifacts in cardiac SPECT slices von McNamara, Joseph E., Pretorius, P. Hendrik, Johnson, Karen, Mukherjee, Joyeeta Mitra, Dey, Joyoni, Gennert, Michael A., King, Michael A.

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