A regularized reconstruction pipeline for high‐definition diffusion MRI in challenging regions incorporating a per‐shot image correction
Sign Up to like & getrecommendations! Published in 2019 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.27802
Abstract: Diffusion MRI is of interest for clinical research and diagnosis. Whereas high‐ resolution DWI/DTI is hard to achieve by single‐shot methods, interleaved acquisitions can deliver these if motion and/or folding artefacts are overcome. Thanks to… read more here.
Keywords: regularized reconstruction; diffusion mri; shot; mri ... See more keywords
A content-adaptive unstructured grid based regularized CT reconstruction method with a SART-type preconditioned fixed-point proximity algorithm
Sign Up to like & getrecommendations! Published in 2022 at "Inverse Problems"
DOI: 10.1088/1361-6420/ac490f
Abstract: The goal of this study is to develop a new computed tomography (CT) image reconstruction method, aiming at improving the quality of the reconstructed images of existing methods while reducing computational costs. Existing CT reconstruction… read more here.
Keywords: regularized reconstruction; sart; reconstruction; method ... See more keywords
Target depth-regularized reconstruction in diffuse optical tomography using ultrasound segmentation as prior information.
Sign Up to like & getrecommendations! Published in 2020 at "Biomedical optics express"
DOI: 10.1364/boe.388816
Abstract: Ultrasound (US)-guided diffuse optical tomography (DOT) is a promising non-invasive functional imaging technique for diagnosing breast cancer and monitoring breast cancer treatment response. However, because larger lesions are highly absorbing, reconstructions of these lesions using… read more here.
Keywords: reconstruction; depth; diffuse optical; depth regularized ... See more keywords