Corpus ID: 237532285

Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys

@article{Koanaoullar2021LearningTR,
  title={Learning the Regularization in DCE-MR Image Reconstruction for Functional Imaging of Kidneys},
  author={Aziz Koçanaoğulları and Cemre Ariyurek and Onur Afacan and Sila Kurugol},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.07548}
}
Kidney DCE-MRI aims at both qualitative assessment of kidney anatomy and quantitative assessment of kidney function by estimating the tracer kinetic (TK) model parameters. Accurate estimation of TK model parameters requires an accurate measurement of the arterial input function (AIF) with high temporal resolution. Accelerated imaging is used to achieve high temporal resolution, which yields under-sampling artifacts in the reconstructed images. Compressed sensing (CS) methods offer a variety of… Expand

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