Keywords: AI/ML Image Reconstruction, Machine Learning/Artificial Intelligence, Transfer learning, Head and neck
Motivation: Propeller and multi shot EPI sequences offer DWI head and neck images with reduced distortions, but suffer from longer scanning time and reduced SNR.
Goal(s): Shorten the scan time while improving SNR and without impacting ADC values.
Approach: Apply transfer learning to retrain denoising deep learning algorithm pretrained on different anatomy and vendor scanner, and using limited amount of data.
Results: Retraining has improved quantitative metrics, resulting in higher quality denoised images using a limited dataset of 5 cases.
Impact: Offsett extra time needed by distortion-reducing protocols to enhance the efficiency of MRI for cancer applications.
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