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[2Q6-GS-10-02] Artificial Enhanced MRI Imaging Generative Model
Keywords:breast cancer, MRI, screening
[background]Breast MRI screening for breast cancer has been recommended for those with BRCA1/2 mutations. However, there are disadvantages having an annual MRI scan. The MRI imaging model which generated enhanced MRI images from the simple MRI without contrast agent was constructed.
[materials&methods]Of the contrast-enhanced MRI images of the cases diagnosed as primary breast cancer, fat suppression T1-weighted images(T1), fat suppression T2-weighted images(T2), diffusion weighted images(DWI) and contrasted early-phase images(early phase) in which cut planes match in all types were used. U-Net algorithm was trained to estimate the early phase from T1, T2, and DWI.
[result]The mean squared error was decreased down to 264. The peak signal-to-noise ratio was 55.1 dB, indicatig that the images were properly generated.
[discussion]MRI screening can be performed more safely and efficiently without contrast agent.
[materials&methods]Of the contrast-enhanced MRI images of the cases diagnosed as primary breast cancer, fat suppression T1-weighted images(T1), fat suppression T2-weighted images(T2), diffusion weighted images(DWI) and contrasted early-phase images(early phase) in which cut planes match in all types were used. U-Net algorithm was trained to estimate the early phase from T1, T2, and DWI.
[result]The mean squared error was decreased down to 264. The peak signal-to-noise ratio was 55.1 dB, indicatig that the images were properly generated.
[discussion]MRI screening can be performed more safely and efficiently without contrast agent.
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