Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians
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DOI: 10.1002/jmri.27078
Abstract: Artificial intelligence (AI) shows tremendous promise in the field of medical imaging, with recent breakthroughs applying deep‐learning models for data acquisition, classification problems, segmentation, image synthesis, and image reconstruction. With an eye towards clinical applications,… read more here.
Keywords: reconstruction; image; deep learning; artificial intelligence ... See more keywords
Penalized maximum likelihood simultaneous longitudinal PET image reconstruction with difference‐image priors
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DOI: 10.1002/mp.12937
Abstract: Purpose Many clinical contexts require the acquisition of multiple positron emission tomography (PET) scans of a single subject, for example, to observe and quantitate changes in functional behaviour in tumors after treatment in oncology. Typically,… read more here.
Keywords: reconstruction; image; pet; difference image ... See more keywords
Evaluation of Quantitative, Efficient Image Reconstruction for VersaPET, a Compact PET System.
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DOI: 10.1002/mp.14158
Abstract: PURPOSE Previously we developed a high-resolution PET system-VersaPET -- characterized by a block geometry with relatively large axial and transaxial inter-block gaps and a compact geometry susceptible to parallax blurring effects. In this work, we… read more here.
Keywords: image reconstruction; geometry; system; psf ... See more keywords
Multilayer residual sparsifying transform (MARS) model for low-dose CT image reconstruction.
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DOI: 10.1002/mp.15013
Abstract: PURPOSE Signal models based on sparse representations have received considerable attention in recent years. On the other hand, deep models consisting of a cascade of functional layers, commonly known as deep neural networks, have been… read more here.
Keywords: reconstruction; image; low dose; mars model ... See more keywords
Image reconstruction from data over two orthogonal arcs of limited-angular ranges.
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DOI: 10.1002/mp.15450
Abstract: PURPOSE Computed tomography (CT) scanning over limited-angular ranges (LARs) is of practical interest in possible reduction of imaging dose and time and in design of non-standard scans. This work aims to investigate image reconstruction for… read more here.
Keywords: orthogonal arc; two orthogonal; image reconstruction; image ... See more keywords
Deep supervised dictionary learning by algorithmic unrolling - application to fast 2D dynamic MR image reconstruction.
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DOI: 10.1002/mp.16182
Abstract: BACKGROUND Unrolled Neural Networks (NNs) have been extensively applied to different image reconstruction problems across all imaging modalities. A key component of the latter is that they allow for physics-informed learning of the regularization method… read more here.
Keywords: physics; reconstruction; image reconstruction; method ... See more keywords
Multichannel compressed sensing MR image reconstruction using statistically optimized nonlinear diffusion
Sign Up to like & getrecommendations! Published in 2017 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.26774
Abstract: Eliminate the need for parametric tuning in total variation (TV) based multichannel compressed‐sensing image reconstruction using statistically optimized nonlinear diffusion without compromising image quality. read more here.
Keywords: image; sensing image; multichannel compressed; compressed sensing ... See more keywords
Image reconstruction algorithm for motion insensitive MR Fingerprinting (MRF): MORF
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DOI: 10.1002/mrm.27227
Abstract: The purpose of this study is to increase the robustness of MR fingerprinting (MRF) toward subject motion. read more here.
Keywords: algorithm motion; motion; fingerprinting mrf; motion insensitive ... See more keywords
MaxGIRF: Image reconstruction incorporating concomitant field and gradient impulse response function effects
Sign Up to like & getrecommendations! Published in 2022 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.29232
Abstract: To develop and evaluate an improved strategy for compensating concomitant field effects in non‐Cartesian MRI at the time of image reconstruction. read more here.
Keywords: concomitant field; maxgirf image; image reconstruction;
Accurate quaternion radial harmonic Fourier moments for color image reconstruction and object recognition
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DOI: 10.1007/s10044-020-00877-6
Abstract: Orthogonal moments have become a powerful tool for object representation and image analysis. Radial harmonic Fourier moments (RHFMs) are one of such image descriptors based on a set of orthogonal projection bases, which outperform other… read more here.
Keywords: image; radial harmonic; harmonic fourier; image reconstruction ... See more keywords
Deep learning for biomedical image reconstruction: a survey
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DOI: 10.1007/s10462-020-09861-2
Abstract: Medical imaging is an invaluable resource in medicine as it enables to peer inside the human body and provides scientists and physicians with a wealth of information indispensable for understanding, modelling, diagnosis, and treatment of… read more here.
Keywords: reconstruction; reconstruction algorithms; image reconstruction; deep learning ... See more keywords