2020
DOI: 10.1016/j.mric.2020.04.001
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New Advances in Magnetic Resonance Techniques in Abdomen and Pelvis

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Cited by 4 publications
(4 citation statements)
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“…Considering disadvantages of DWI, such as low signal-to-noise ratio (SNR) or low spatial resolution, dynamic and unenhanced MRI sequences should be combined together in order to provide an appropriate lesion assessment [12]. A reduced FOV DWI evaluated by Wargo et al provided higher image SNR, which was supported by Chan et al In this study, according to the authors, reducing the acquisition FOV DWI to a smaller area of interest may contribute to improving the scanning time without loss in diagnostic performance [7,8].…”
Section: Introductionmentioning
confidence: 62%
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“…Considering disadvantages of DWI, such as low signal-to-noise ratio (SNR) or low spatial resolution, dynamic and unenhanced MRI sequences should be combined together in order to provide an appropriate lesion assessment [12]. A reduced FOV DWI evaluated by Wargo et al provided higher image SNR, which was supported by Chan et al In this study, according to the authors, reducing the acquisition FOV DWI to a smaller area of interest may contribute to improving the scanning time without loss in diagnostic performance [7,8].…”
Section: Introductionmentioning
confidence: 62%
“…provided higher image SNR, which was supported by Chan et al . In this study, according to the authors, reducing the acquisition FOV DWI to a smaller area of interest may contribute to improving the scanning time without loss in diagnostic performance [ 7 , 8 ].…”
Section: Metastatic Liver Diseasementioning
confidence: 99%
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“…BPF algorithm was used to optimize CT images, which presented the most intuitive and comprehensive images of pelvic fractures and pelvic organ injuries. Chan et al [19] proposed the CNN model based on level set contour constraint, which can realize the segmentation of bladder cancer from CT urography data. Useful information can be retained and the optimization efficiency of deep network can be improved by using the contour features of the level set to constrain the loss function of CNN.…”
Section: Discussionmentioning
confidence: 99%