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Adaptive-size dictionary learning using information theoretic criteria for image reconstruction from undersampled k-space data in low field magnetic resonance imaging
(BMC Medical Imaging, 2020-06)
Background
Magnetic resonance imaging (MRI) is a safe non-invasive and nonionizing medical imaging modality that is used to visualize the structure of human anatomy. Conventional (high-field) MRI scanners are very expensive ...
A dictionary learning approach for joint reconstruction and denoising in low field magnetic resonance imaging
(2021 IST-Africa Conference (IST-Africa), 2021-10)
Currently, many children with hydrocephalus in East Africa and other resource-constrained countries do not have access to Magnetic Resonance Imaging (MRI) scanners, the preferred imaging tool during the disease administration ...
A survey on deep learning in medical image reconstruction
(Elsevier, 2021-03)
Medical image reconstruction aims to acquire high-quality medical images for clinical usage at minimal cost and
risk to the patients. Deep learning and its applications in medical imaging, especially in image reconstruction
have ...