Physical characteristics of deep learning-based image processing software in computed tomography: a phantom study

Purpose This study aimed to assess the image characteristics of deep-learning-based image processing software (DLIP; FCT PixelShine, FUJIFILM, Tokyo, Japan) and compare it with filtered back projection (FBP), model-based iterative reconstruction (MBIR), and deep-learning-based reconstruction (DLR)....

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Veröffentlicht in:	Australasian physical & engineering sciences in medicine 2023-12, Vol.46 (4), p.1713-1721
Hauptverfasser:	Sato, Seiya, Urikura, Atsushi, Mimatsu, Makoto, Miyamae, Yuta, Jibiki, Yuji, Yamashita, Mami, Ishihara, Toshihiro
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Biological and Medical Physics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Computed tomography Deep Learning Drug dosages Fourier transforms Frequency ranges Frequency shift Image processing Image reconstruction Iterative methods Medical and Radiation Physics Medicine Noise reduction Peak frequency Physical properties Radiation Radiation Dosage Scanners Scientific Paper Software Spatial resolution Tomography Tomography, X-Ray Computed - methods Transfer functions
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