The application and optimization of super-resolution reconstruction for isotropic out-of-plane MRI to study the musculoskeletal system
暂无分享,去创建一个
[1] J. Grauer,et al. 3D-FSE Isotropic MRI of the Lumbar Spine: Novel Application of an Existing Technology , 2015, Journal of spinal disorders & techniques.
[2] J. Bloem,et al. Automatic quantification of bone marrow edema on MRI of the wrist in patients with early arthritis: A feasibility study , 2017, Magnetic resonance in medicine.
[3] F. Lecouvet. Whole-Body MR Imaging: Musculoskeletal Applications. , 2016, Radiology.
[4] Jan Sijbers,et al. General and Efficient Super-Resolution Method for Multi-slice MRI , 2010, MICCAI.
[5] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[6] Alan C. Bovik,et al. No-Reference Image Quality Assessment in the Spatial Domain , 2012, IEEE Transactions on Image Processing.
[7] N. Mohtadi,et al. Longitudinal Effects of Acute Anterior Cruciate Ligament Tears on Peri‐Articular Bone in Human Knees Within the First Year of Injury , 2019, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.
[8] A. Bhalla,et al. Rheumatoid Arthritis Revisited – Advanced Imaging Review , 2016, Polish journal of radiology.
[9] Sébastien Ourselin,et al. Volumetric reconstruction from printed films: Enabling 30 year longitudinal analysis in MR neuroimaging , 2018, NeuroImage.
[10] Jeff Wood,et al. Super‐resolution musculoskeletal MRI using deep learning , 2018, Magnetic resonance in medicine.
[11] G. Chang,et al. MRI-based assessment of proximal femur strength compared to mechanical testing. , 2020, Bone.
[12] Kristoffer Hougaard Madsen,et al. Are Movement Artifacts in Magnetic Resonance Imaging a Real Problem?—A Narrative Review , 2017, Front. Neurol..
[13] I. Sudoł-Szopińska,et al. Cartilage and bone damage in rheumatoid arthritis , 2018, Reumatologia.
[14] M. Englund,et al. Soft Tissue Knee Injury With Concomitant Osteochondral Fracture Is Associated With Higher Degree of Acute Joint Inflammation , 2014, The American journal of sports medicine.
[15] Onur Afacan,et al. Super-resolution reconstruction in frequency, image, and wavelet domains to reduce through-plane partial voluming in MRI. , 2015, Medical physics.
[16] M. Zaitsev,et al. Motion artifacts in MRI: A complex problem with many partial solutions , 2015, Journal of magnetic resonance imaging : JMRI.
[17] E. A. Waters,et al. High-resolution magnetic resonance imaging of ankle joints in murine arthritis discriminates inflammation and bone destruction in a quantifiable manner. , 2013, Arthritis and rheumatism.
[18] B Helgason,et al. The influence of the modulus-density relationship and the material mapping method on the simulated mechanical response of the proximal femur in side-ways fall loading configuration. , 2016, Medical engineering & physics.
[19] Guido Gerig,et al. User-guided 3D active contour segmentation of anatomical structures: Significantly improved efficiency and reliability , 2006, NeuroImage.
[20] V. Gudnason,et al. Interactive graph-cut segmentation for fast creation of finite element models from clinical ct data for hip fracture prediction , 2016, Computer methods in biomechanics and biomedical engineering.
[21] A. Chhabra,et al. Bone and joint modeling from 3D knee MRI: feasibility and comparison with radiographs and 2D MRI. , 2016, Clinical imaging.
[22] Sébastien Ourselin,et al. An Automated Localization, Segmentation and Reconstruction Framework for Fetal Brain MRI , 2018, MICCAI.
[23] Sébastien Ourselin,et al. An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI , 2019, NeuroImage.
[24] David Zhang,et al. FSIM: A Feature Similarity Index for Image Quality Assessment , 2011, IEEE Transactions on Image Processing.
[25] Heshalini Rajagopal,et al. Modified-BRISQUE as no reference image quality assessment for structural MR images. , 2017, Magnetic resonance imaging.