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Tytuł :
MR features of high-pressure injection injuries caused by grease and paints.
Autorzy :
Li Q; Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical Universtiy, Yantai, People's Republic of China.
Zheng L; Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical Universtiy, Yantai, People's Republic of China.
Han X; Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical Universtiy, Yantai, People's Republic of China.
Han M; Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical Universtiy, Yantai, People's Republic of China.
Li J; Department of Radiology, Yantai Affiliated Hospital of Binzhou Medical Universtiy, Yantai, People's Republic of China. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May 11. Date of Electronic Publication: 2022 May 11.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
IVIM-DWI and MRI-based radiomics in cervical cancer: Prediction of concurrent chemoradiotherapy sensitivity in combination with clinical prognostic factors.
Autorzy :
Zhang Y; Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, 17 Lujiang Road, Hefei, Anhui 230001, China.
Zhang K; Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, 17 Lujiang Road, Hefei, Anhui 230001, China.
Jia H; Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, 17 Lujiang Road, Hefei, Anhui 230001, China; Department of Radiology, West Branch of the First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, 107 Huanhu East Road, Hefei, Anhui 230031, China.
Xia B; Department of Radiology, West Branch of the First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, 107 Huanhu East Road, Hefei, Anhui 230031, China; Department of Radiation Oncology, West Branch of the First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, 107 Huanhu East Road, Hefei, Anhui 230031, China.
Zang C; Department of Radiation Oncology, West Branch of the First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, 107 Huanhu East Road, Hefei, Anhui 230031, China.
Liu Y; Department of Radiation Oncology, West Branch of the First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, 107 Huanhu East Road, Hefei, Anhui 230031, China.
Qian L; Department of Radiation Oncology, Anhui Provincial Hospital Affiliated to Anhui Medical University, 17 Lujiang Road, Hefei, Anhui 230001, China; Department of Radiation Oncology, West Branch of the First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, 107 Huanhu East Road, Hefei, Anhui 230031, China. Electronic address: .
Dong J; Department of Radiology, West Branch of the First Affiliated Hospital of University of Science and Technology of China, Anhui Provincial Cancer Hospital, 107 Huanhu East Road, Hefei, Anhui 230031, China. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May 11. Date of Electronic Publication: 2022 May 11.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Diffusion-relaxation scattered MR signal representation in a multi-parametric sequence.
Autorzy :
Bogusz F; AGH University of Science and Technology, Kraków, Poland. Electronic address: .
Pieciak T; AGH University of Science and Technology, Kraków, Poland; LPI, ETSI Telecomunicación, Universidad de Valladolid, Valladolid, Spain.
Afzali M; Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), Leeds, United Kingdom; Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom.
Pizzolato M; Department of applied mathematics and computer science, Technical University of Denmark, Kongens Lyngby, Denmark; Signal Processing Lab (LTS5), École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May 10. Date of Electronic Publication: 2022 May 10.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Assessing the influence of the menstrual cycle on APT CEST-MRI in the human breast.
Autorzy :
Loi L; German Cancer Research Center, Department of Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; Faculty of Medicine, University of Heidelberg, Im Neuenheimer Feld 672, 69120 Heidelberg, Germany.
Goerke S; German Cancer Research Center, Department of Medical Physics in Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Zimmermann F; German Cancer Research Center, Department of Medical Physics in Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Korzowski A; German Cancer Research Center, Department of Medical Physics in Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Meissner JE; German Cancer Research Center, Department of Medical Physics in Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Breitling J; German Cancer Research Center, Department of Medical Physics in Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Schott S; University Hospital Heidelberg, Department of Gynecology and Obstetrics, Im Neuenheimer Feld 440, 69120 Heidelberg, Germany.
Bachert P; German Cancer Research Center, Department of Medical Physics in Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; Faculty of Physics and Astronomy, University of Heidelberg, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany.
Ladd ME; Faculty of Medicine, University of Heidelberg, Im Neuenheimer Feld 672, 69120 Heidelberg, Germany; German Cancer Research Center, Department of Medical Physics in Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; Faculty of Physics and Astronomy, University of Heidelberg, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany.
Schlemmer HP; German Cancer Research Center, Department of Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; Faculty of Medicine, University of Heidelberg, Im Neuenheimer Feld 672, 69120 Heidelberg, Germany.
Bickelhaupt S; German Cancer Research Center, Department of Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; German Cancer Research Center, Junior Group Medical Imaging and Radiology - Cancer Prevention, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany.
Paech D; German Cancer Research Center, Department of Radiology, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May 10; Vol. 91, pp. 24-31. Date of Electronic Publication: 2022 May 10.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Comparison of automatic liver volumetry performance using different types of magnetic resonance images.
Autorzy :
Saunders SL; Department of Biomedical Engineering, University of Minnesota College of Science and Engineering, United States of America; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School Twin Cities, United States of America.
Clark JM; Division of Biostatistics, University of Minnesota School of Public Health, United States of America.
Rudser K; Division of Biostatistics, University of Minnesota School of Public Health, United States of America.
Chauhan A; Department of Radiology, University of Minnesota Medical School Twin Cities, United States of America.
Ryder JR; Department of Pediatrics, University of Minnesota Medical School Twin Cities, United States of America; Center for Pediatric Obesity Medicine, University of Minnesota Medical School Twin Cities, United States of America.
Bolan PJ; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota Medical School Twin Cities, United States of America. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May 07; Vol. 91, pp. 16-23. Date of Electronic Publication: 2022 May 07.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Magnetic resonance imaging in patients with cardiac implantable electronic devices: A prospective study.
Autorzy :
Navarro-Valverde C; Department of Cardiology, Hospital Universitario de Valme, Seville, Spain.
Ramos-Maqueda J; Department of Cardiology, Arrhythmias Unit, Hospital Clínico Universitario Lozano Blesa, Zaragoza, Spain.
Romero-Reyes MJ; Department of Cardiology, Hospital Universitario de Valme, Seville, Spain.
Esteve-Ruiz I; Department of Cardiology, Hospital Juan Ramón Jiménez, Huelva, Spain. Electronic address: .
García-Medina D; Department of Cardiology, Hospital Universitario de Valme, Seville, Spain.
Pavón-Jiménez R; Department of Cardiology, Hospital Universitario de Valme, Seville, Spain.
Rodríguez-Gómez C; Department of Radiology, Hospital Universitario de Valme, Seville, Spain.
Leal-Del-Ojo J; Department of Cardiology, Hospital de Fátima, Seville, Spain.
Cayuela A; Department of Public Health, Prevention and Health Promotion, Hospital Universitario de Valme, Seville, Spain.
Molano-Casimiro FJ; Department of Cardiology, Hospital Universitario de Valme, Seville, Spain.
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May 06; Vol. 91, pp. 9-15. Date of Electronic Publication: 2022 May 06.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Multi-parametric MRI-based radiomics for the diagnosis of malignant soft-tissue tumor.
Autorzy :
Yue Z; Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang 110122, PR China.
Wang X; Department of Radiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, PR China.
Yu T; Department of Radiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, PR China.
Shang S; Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang 110122, PR China.
Liu G; Department of Radiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, PR China.
Jing W; Department of Medical Microbiology and Parasitology, Shanghai Medical College of Fudan University, Shanghai 200032, PR China.
Yang H; Department of Biophysics, School of Fundamental Sciences, China Medical University, Shenyang 110122, PR China.
Luo Y; Department of Radiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, PR China.
Jiang X; Department of Biomedical Engineering, School of Fundamental Sciences, China Medical University, Shenyang 110122, PR China. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May 04. Date of Electronic Publication: 2022 May 04.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Noncontrast T1ρ dispersion imaging is sensitive to diffuse fibrosis: A cardiovascular magnetic resonance study at 3T in hypertrophic cardiomyopathy.
Autorzy :
Wang K; The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhang W; The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Li S; The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jin H; The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jin Y; The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Wang L; The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Li R; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA.
Yang Y; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, NY, New York, USA.
Zheng J; Mallinckrodt Institute of Radiology, Washington University School of Medicine in St. Louis, St. Louis, MO, USA. Electronic address: .
Cheng J; The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May 04; Vol. 91, pp. 1-8. Date of Electronic Publication: 2022 May 04.
Typ publikacji :
Journal Article
Czasopismo naukowe
Tytuł :
Non-contrast hemodynamic imaging of Moyamoya disease with MR fingerprinting ASL: A feasibility study.
Autorzy :
Su P; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; Graduate School of Biomedical Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Liu P; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Pinho MC; Department of Radiology, University of Texas Southwestern Medical Center, Dallas, TX, USA; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Thomas BP; Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Qiao Y; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Huang J; Department of Neurosurgery, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Welch BG; Department of Neurosurgery, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Lu H; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA; F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Research Institute, Baltimore, MD, USA; Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 116-122. Date of Electronic Publication: 2022 Feb 18.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms :
Moyamoya Disease*/diagnostic imaging
Arteries ; Cerebrovascular Circulation/physiology ; Feasibility Studies ; Female ; Hemodynamics ; Humans ; Magnetic Resonance Angiography/methods ; Magnetic Resonance Imaging/methods ; Male ; Spin Labels
Czasopismo naukowe
Tytuł :
Evaluation of liver T 1rho and T 2 values in acute liver inflammation models using 7T-MRI.
Autorzy :
Arihara N; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Saito S; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan; Department of Advanced Medical Technologies, National Cardiovascular and Cerebral Research Center, Suita, Osaka, Japan. Electronic address: .
Sawaya R; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Onishi R; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Tsuji K; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Ohki A; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan; Department of Medical Technology, Kyoto University Hospital, Kyoto, Kyoto, Japan.
Ueda J; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Morimoto-Ishiwaka D; Department of Medical Physics and Engineering, Division of Health Sciences, Osaka University Graduate School of Medicine, Suita, Osaka, Japan; Department of Radiology, Kindai University, Osaka-Sayama, Osaka, Japan.
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 20-24. Date of Electronic Publication: 2022 Jan 25.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Liver*/diagnostic imaging
Magnetic Resonance Imaging*/methods
Animals ; Carbon Tetrachloride ; Inflammation/diagnostic imaging ; Mice ; Mice, Inbred C57BL
Czasopismo naukowe
Tytuł :
MRI-based radiomics models can improve prognosis prediction for nasopharyngeal carcinoma with neoadjuvant chemotherapy.
Autorzy :
Zeng F; Guangdong Medical University, Zhanjiang 524000, Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Lin KR; Clinical Research Institute, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Jin YB; Clinical Research Institute, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Li HJ; Department of Radiology, State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Sun Yat-Sen University Cancer Center, Guangzhou 510060, Guangdong, China.
Quan Q; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Su JC; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Chen K; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Zhang J; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Han C; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.
Zhang GY; Department of Radiation Oncology, Foshan Academy of Medical Sciences, Sun Yat-Sen University Foshan Hospital & the First People's Hospital of Foshan, Foshan 528000, Guangdong, China.. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 108-115. Date of Electronic Publication: 2022 Feb 15.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't; Systematic Review
MeSH Terms :
Nasopharyngeal Neoplasms*/diagnostic imaging
Nasopharyngeal Neoplasms*/drug therapy
Nasopharyngeal Neoplasms*/pathology
Neoadjuvant Therapy*
Humans ; Magnetic Resonance Imaging/methods ; Nasopharyngeal Carcinoma/diagnostic imaging ; Nasopharyngeal Carcinoma/pathology ; Prognosis ; Randomized Controlled Trials as Topic ; Retrospective Studies
Czasopismo naukowe
Tytuł :
Generalizing deep learning brain segmentation for skull removal and intracranial measurements.
Autorzy :
Liu Y; College of Information Science and Engineering, Northeastern University, Shenyang 110819, China; Electrical Engineering and Computer Science, Vanderbilt University, TN, USA. Electronic address: .
Huo Y; Electrical Engineering and Computer Science, Vanderbilt University, TN, USA.
Dewey B; Electrical and Computer Engineering, Johns Hopkins University, Baltimore, USA.
Wei Y; College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.
Lyu I; Electrical Engineering and Computer Science, Vanderbilt University, TN, USA; Department of Computer Science and Engineering, UNIST, Ulsan 44919, South Korea.
Landman BA; Electrical Engineering and Computer Science, Vanderbilt University, TN, USA.
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 44-52. Date of Electronic Publication: 2022 Jan 07.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms :
Deep Learning*
Image Processing, Computer-Assisted*/methods
Brain/diagnostic imaging ; Magnetic Resonance Imaging/methods ; Neuroimaging/methods ; Skull/diagnostic imaging
Czasopismo naukowe
Tytuł :
MRI-based peritumoral radiomics analysis for preoperative prediction of lymph node metastasis in early-stage cervical cancer: A multi-center study.
Autorzy :
Shi J; Department of Biomedical Engineering, School of Intelligent Medicine, China Medical University, Shenyang 110122, PR China.
Dong Y; Department of Radiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, PR China.
Jiang W; Scientific Research and Academic Department, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, PR China.
Qin F; Department of Radiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, PR China.
Wang X; Department of Radiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, PR China.
Cui L; Department of Biomedical Engineering, School of Intelligent Medicine, China Medical University, Shenyang 110122, PR China.
Liu Y; The Affiliated Reproductive Hospital of China Medical University, Liaoning Research Institute of Family Planning, Shenyang 110031, PR China.
Jin Y; The Affiliated Reproductive Hospital of China Medical University, Liaoning Research Institute of Family Planning, Shenyang 110031, PR China.
Luo Y; Department of Radiology, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang 110042, PR China.
Jiang X; Department of Biomedical Engineering, School of Intelligent Medicine, China Medical University, Shenyang 110122, PR China. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 1-8. Date of Electronic Publication: 2021 Dec 27.
Typ publikacji :
Journal Article; Multicenter Study; Research Support, Non-U.S. Gov't
MeSH Terms :
Uterine Cervical Neoplasms*/diagnostic imaging
Female ; Humans ; Lymphatic Metastasis ; Magnetic Resonance Imaging ; Nomograms ; Retrospective Studies
Czasopismo naukowe
Tytuł :
A data-driven deep learning pipeline for quantitative susceptibility mapping (QSM).
Autorzy :
Wang Z; Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China.
Xia P; Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China.
Huang F; Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China.
Wei H; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, China.
Hui ES; Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China.
Mak HK; Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China.
Cao P; Department of Diagnostic Radiology, The University of Hong Kong, Hong Kong, China. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 89-100. Date of Electronic Publication: 2022 Feb 03.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Deep Learning*
Algorithms ; Brain/diagnostic imaging ; Brain Mapping/methods ; Humans ; Image Processing, Computer-Assisted/methods ; Magnetic Resonance Imaging/methods
Czasopismo naukowe
Tytuł :
A revisit of the k-space filtering effects of magnetization-prepared 3D FLASH and balanced SSFP acquisitions: Analytical characterization of the point spread functions.
Autorzy :
Zhu D; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: .
Qin Q; F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, USA; The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 76-88. Date of Electronic Publication: 2022 Feb 01.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms :
Imaging, Three-Dimensional*/methods
Magnetic Resonance Imaging*/methods
Czasopismo naukowe
Tytuł :
MRI-based mechanical competence assessment of bone using micro finite element analysis (micro-FEA): Review.
Autorzy :
Jerban S; Department of Radiology, University of California, San Diego, CA, USA. Electronic address: .
Alenezi S; Research and Laboratories Sector, Saudi Food and Drug Authority, Saudi Arabia.
Afsahi AM; Department of Radiology, University of California, San Diego, CA, USA.
Ma Y; Department of Radiology, University of California, San Diego, CA, USA.
Du J; Department of Radiology, University of California, San Diego, CA, USA; Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA.
Chung CB; Department of Radiology, University of California, San Diego, CA, USA; Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA.
Chang EY; Department of Radiology, University of California, San Diego, CA, USA; Research Service, Veterans Affairs San Diego Healthcare System, San Diego, CA, USA. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 9-19. Date of Electronic Publication: 2022 Jan 25.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.; Review
MeSH Terms :
Bone Density*
Bone and Bones*/diagnostic imaging
Absorptiometry, Photon/methods ; Finite Element Analysis ; Magnetic Resonance Imaging
Czasopismo naukowe
Tytuł :
Dense channel splitting network for MR image super-resolution.
Autorzy :
He Y; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.
Tang F; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.
Jin J; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia; Siemens Healthcare Pty Ltd, Brisbane, Australia.
Li M; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.
Zhang H; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.
Liu F; School of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 53-61. Date of Electronic Publication: 2022 Feb 02.
Typ publikacji :
Journal Article
MeSH Terms :
Image Processing, Computer-Assisted*/methods
Magnetic Resonance Imaging*/methods
Algorithms ; Brain/diagnostic imaging ; Humans ; Neural Networks, Computer
Czasopismo naukowe
Tytuł :
Anisotropy measure from three diffusion-encoding gradient directions.
Autorzy :
Aja-Fernández S; LPI, ETSI Telecomunicación, Universidad de Valladolid, Castilla y León, Spain. Electronic address: .
París G; LPI, ETSI Telecomunicación, Universidad de Valladolid, Castilla y León, Spain.
Martín-Martín C; LPI, ETSI Telecomunicación, Universidad de Valladolid, Castilla y León, Spain.
Jones DK; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, UK.
Tristán-Vega A; LPI, ETSI Industriales, Universidad de Valladolid, Castilla y León, Spain.
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 38-43. Date of Electronic Publication: 2022 Feb 02.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms :
Diffusion Magnetic Resonance Imaging*/methods
White Matter*/diagnostic imaging
Anisotropy ; Brain/diagnostic imaging ; Diffusion
Czasopismo naukowe
Tytuł :
Diffusion MRI super-resolution reconstruction via sub-pixel convolution generative adversarial network.
Autorzy :
Luo S; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China.
Zhou J; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China; Images and Spatial Information 2011 Collaborative Innovation Center of Sichuan Province, Chengdu, 610225, China.
Yang Z; College of Electronic Engineering, Chengdu University of Information Technology, Chengdu, 610225, China; Images and Spatial Information 2011 Collaborative Innovation Center of Sichuan Province, Chengdu, 610225, China. Electronic address: .
Wei H; Department of Computer Science, University of Reading, Earley, RG6 6AY, UK.
Fu Y; School of Computer Science, Chengdu University of Information Technology, Chengdu, 610225, China; Images and Spatial Information 2011 Collaborative Innovation Center of Sichuan Province, Chengdu, 610225, China. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 101-107. Date of Electronic Publication: 2022 Feb 14.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Image Processing, Computer-Assisted*/methods
Magnetic Resonance Imaging*
Algorithms ; Diffusion Magnetic Resonance Imaging ; Signal-To-Noise Ratio
Czasopismo naukowe
Tytuł :
Iterative self-consistent parallel magnetic resonance imaging reconstruction based on nonlocal low-rank regularization.
Autorzy :
Pan T; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China.
Duan J; Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500, China. Electronic address: .
Wang J; Department of Hepatobiliary Surgery, The First People's Hospital of Yunnan Province, Kunming 650030, China.
Liu Y; School of Microelectronics, Tianjin University, Tianjin 300072, China.
Pokaż więcej
Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2022 May; Vol. 88, pp. 62-75. Date of Electronic Publication: 2022 Jan 31.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Algorithms*
Image Processing, Computer-Assisted*/methods
Brain/diagnostic imaging ; Calibration ; Magnetic Resonance Imaging/methods ; Tomography, X-Ray Computed
Czasopismo naukowe

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