2019
DOI: 10.1016/j.ejmp.2019.08.008
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Using a deep neural network for four-dimensional CT artifact reduction in image-guided radiotherapy

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Cited by 10 publications
(14 citation statements)
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“…After 5 minutes, massage was used to induce penile erection, and its length and circumference were measured. en, the Doppler ultrasound was used to detect bilateral deep penile arteries, peak systolic velocity (PSV), peak end-diastolic velocity, and blood flow resistance index (RI) [2,3].…”
Section: Operation Methodmentioning
confidence: 99%
“…After 5 minutes, massage was used to induce penile erection, and its length and circumference were measured. en, the Doppler ultrasound was used to detect bilateral deep penile arteries, peak systolic velocity (PSV), peak end-diastolic velocity, and blood flow resistance index (RI) [2,3].…”
Section: Operation Methodmentioning
confidence: 99%
“…For a small tumor, the internal respiratory measured CT produced a smaller volume than that from the CT image obtained using external surrogates. Recently, machine learning using deep neural network approaches are being investigated to reduce the magnitude of 4D-CT artifacts [44].…”
Section: Motion Incorporated Imagingmentioning
confidence: 99%
“…CT and CBCT or CT and magnetic resonance images (MRI)) and preserve the anatomy of the daily images in the derived synthetic CT images (sCT). Several studies achieved a significant artifacts reduction and therefore increased the potential for a clinical implementation of ART for different anatomical regions [20][21][22][23][24][25].…”
Section: Introductionmentioning
confidence: 99%