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Tytuł :
Repeatability quantification of brain diffusion-weighted imaging for future clinical implementation at a low-field MR-linac.
Autorzy :
Rabe M; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany. .
Dietrich O; Department of Radiology, LMU University Hospital, LMU Munich, Munich, Germany.
Forbrig R; Institute of Neuroradiology, LMU University Hospital, LMU Munich, Munich, Germany.
Niyazi M; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.; German Cancer Consortium (DKTK), Partner Site Munich, a Partnership Between DKFZ and LMU University Hospital Munich, Munich, Germany.; Bavarian Cancer Research Center (BZKF), Munich, Germany.; Department of Radiation Oncology, University of Tübingen, Tübingen, Germany.
Belka C; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.; German Cancer Consortium (DKTK), Partner Site Munich, a Partnership Between DKFZ and LMU University Hospital Munich, Munich, Germany.; Bavarian Cancer Research Center (BZKF), Munich, Germany.
Corradini S; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Landry G; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
Kurz C; Department of Radiation Oncology, LMU University Hospital, LMU Munich, Munich, Germany.
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Źródło :
Radiation oncology (London, England) [Radiat Oncol] 2024 Mar 06; Vol. 19 (1), pp. 31. Date of Electronic Publication: 2024 Mar 06.
Typ publikacji :
Journal Article
MeSH Terms :
Brain*/diagnostic imaging
Diffusion Magnetic Resonance Imaging*
Humans ; Phantoms, Imaging ; Diffusion ; Dimethyl Sulfoxide
Czasopismo naukowe
Tytuł :
High-angular resolution diffusion imaging generation using 3d u-net.
Autorzy :
Suzuki Y; Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.
Ueyama T; Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.
Sakata K; Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.
Kasahara A; Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.
Iwanaga H; Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.
Yasaka K; Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan. .
Abe O; Radiology Center, The University of Tokyo Hospital, Tokyo, Japan.; Department of Radiology, The University of Tokyo Hospital, Tokyo, Japan.
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Źródło :
Neuroradiology [Neuroradiology] 2024 Mar; Vol. 66 (3), pp. 371-387. Date of Electronic Publication: 2024 Jan 18.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Diffusion Magnetic Resonance Imaging*/methods
Humans ; Middle Aged ; Adult ; Diffusion Tensor Imaging/methods ; Magnetic Resonance Imaging ; Neural Networks, Computer ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Tytuł :
Value of diffusion kurtosis MR imaging and conventional diffusion weighed imaging for evaluating response to first-line chemotherapy in unresectable pancreatic cancer.
Autorzy :
Zhang Z; Department of Radiology, Minhang Branch, Fudan University Shanghai Cancer Center, No. 106, Ruili Road, 201100, Shanghai, China.
Zhang Y; Department of Colorectal Surgery, Minhang Branch, Fudan University Shanghai Cancer Center, No. 106, Ruili Road, 201100, Shanghai, China.
Hu F; Department of Radiology, Fudan University Shanghai Cancer Center, No. 270, Dongan Road, 200032, Shanghai, China.
Xie T; Department of Radiology, Fudan University Shanghai Cancer Center, No. 270, Dongan Road, 200032, Shanghai, China.
Liu W; Department of Radiology, Fudan University Shanghai Cancer Center, No. 270, Dongan Road, 200032, Shanghai, China.
Xiang H; Department of Radiology, Minhang Branch, Fudan University Shanghai Cancer Center, No. 106, Ruili Road, 201100, Shanghai, China.
Li X; Nursing department, Minhang Branch, Fudan University Shanghai Cancer Center, No. 106. Ruili Road, 201100, Shanghai, China.
Chen L; Department of Radiology, Minhang Branch, Fudan University Shanghai Cancer Center, No. 106, Ruili Road, 201100, Shanghai, China. mac_.
Zhou Z; Department of Radiology, Minhang Branch, Fudan University Shanghai Cancer Center, No. 106, Ruili Road, 201100, Shanghai, China. .; Department of Radiology, Fudan University Shanghai Cancer Center, No. 270, Dongan Road, 200032, Shanghai, China. .
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Źródło :
Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2024 Feb 26; Vol. 24 (1), pp. 29. Date of Electronic Publication: 2024 Feb 26.
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Tensor Imaging*/methods
Pancreatic Neoplasms*/diagnostic imaging
Pancreatic Neoplasms*/drug therapy
Humans ; Sensitivity and Specificity ; Retrospective Studies ; Diffusion Magnetic Resonance Imaging/methods
Czasopismo naukowe
Tytuł :
Deep learning-based diffusion tensor cardiac magnetic resonance reconstruction: a comparison study.
Autorzy :
Huang J; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK. .; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK. .; Bioengineering Department and Imperial-X, Imperial College London, London, W12 7SL, UK. .
Ferreira PF; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK.
Wang L; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Department of Computing, Imperial College London, London, UK.
Wu Y; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK.
Aviles-Rivero AI; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
Schönlieb CB; Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge, UK.
Scott AD; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK.
Khalique Z; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK.
Dwornik M; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK.
Rajakulasingam R; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK.
De Silva R; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK.
Pennell DJ; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK.
Nielles-Vallespin S; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK.; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK.
Yang G; National Heart and Lung Institute, Imperial College London, London, SW7 2AZ, UK. .; Cardiovascular Research Centre, Royal Brompton Hospital, London, SW7 2AZ, UK. .; Bioengineering Department and Imperial-X, Imperial College London, London, W12 7SL, UK. .
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Źródło :
Scientific reports [Sci Rep] 2024 Mar 07; Vol. 14 (1), pp. 5658. Date of Electronic Publication: 2024 Mar 07.
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Tensor Imaging*/methods
Deep Learning*
Algorithms ; Magnetic Resonance Imaging ; Magnetic Resonance Spectroscopy ; Diffusion Magnetic Resonance Imaging/methods
Czasopismo naukowe
Tytuł :
Diffusion tensor imaging of the brain in children with sensory processing disorder: A review.
Autorzy :
Jang WH; Department of Occupational Therapy, College of Health Science, Kangwon National University, Samcheok-si, Republic of Korea.
Lee SH; Department of Occupational Therapy, College of Health Science, Kangwon National University, Samcheok-si, Republic of Korea.
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Źródło :
Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2024 Mar-Apr; Vol. 34 (2), pp. 167-178. Date of Electronic Publication: 2024 Jan 05.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Diffusion Tensor Imaging*/methods
White Matter*/diagnostic imaging
Child ; Humans ; Brain/diagnostic imaging ; Diffusion Magnetic Resonance Imaging ; Perception
Czasopismo naukowe
Tytuł :
Development and benchmarking diffusion magnetic resonance imaging analysis for integration into radiation treatment planning.
Autorzy :
Elliott A; Department Radiation Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA.
Villemoes E; RaySearch Laboratories AB, Stockholm, Sweden, USA.
Farhat M; Department Radiation Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA.
Klingberg E; RaySearch Laboratories AB, Stockholm, Sweden, USA.
Langshaw H; Department Radiation Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA.
Svensson S; RaySearch Laboratories AB, Stockholm, Sweden, USA.
Chung C; Department Radiation Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas, USA.
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Źródło :
Medical physics [Med Phys] 2024 Mar; Vol. 51 (3), pp. 2108-2118. Date of Electronic Publication: 2023 Aug 26.
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Tensor Imaging*/methods
Benchmarking*
Humans ; Reproducibility of Results ; Diffusion Magnetic Resonance Imaging/methods ; Magnetic Resonance Imaging ; Anisotropy
Czasopismo naukowe
Tytuł :
Model-based parcellation of diffusion MRI of injured spinal cord predicts hand use impairment and recovery in squirrel monkeys.
Autorzy :
Manzanera Esteve IV; Department of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA. Electronic address: .
Wang F; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Reed JL; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
Qi HX; Department of Psychology, Vanderbilt University, Nashville, TN, USA.
Thayer W; Department of Plastic Surgery, Vanderbilt University Medical Center, Nashville, TN, USA.
Gore JC; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, USA.
Chen LM; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
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Źródło :
Behavioural brain research [Behav Brain Res] 2024 Feb 29; Vol. 459, pp. 114808. Date of Electronic Publication: 2023 Dec 10.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms :
Diffusion Tensor Imaging*/methods
Spinal Cord Injuries*/diagnostic imaging
Spinal Cord Injuries*/pathology
Animals ; Humans ; Saimiri ; Spinal Cord/diagnostic imaging ; Spinal Cord/pathology ; Diffusion Magnetic Resonance Imaging
Czasopismo naukowe
Tytuł :
Innovation Diffusion Across 13 Specialties and Associated Clinician Characteristics.
Autorzy :
Novikov Z; a UTHealth Houston, USA.
Singer SJ; b Stanford University, USA.
Milstein A; c Stanford University School of Medicine, USA.
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Źródło :
Advances in health care management [Adv Health Care Manag] 2024 Feb 07; Vol. 22.
Typ publikacji :
Journal Article
MeSH Terms :
Artificial Intelligence*
Diffusion of Innovation*
Humans ; Diffusion ; Health Facilities ; Knowledge
Czasopismo naukowe
Tytuł :
Diffusion-weighted, intravoxel incoherent motion, and diffusion kurtosis tensor MR imaging in chronic kidney diseases: Correlations with histology.
Autorzy :
Zhu J; Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, PR China.
Chen A; Department of Nephrology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, PR China.
Gao J; Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, PR China.
Zou M; Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, PR China.
Du J; Department of Pathology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, PR China.
Wu PY; GE Healthcare, Beijing 100176, China.
Zhang J; Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, PR China.
Mao Y; Department of Nephrology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, PR China.
Song Y; Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, PR China. Electronic address: .
Chen M; Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, 100730, PR China. Electronic address: .
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2024 Feb; Vol. 106, pp. 1-7. Date of Electronic Publication: 2023 Jul 04.
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Tensor Imaging*/methods
Renal Insufficiency, Chronic*/diagnostic imaging
Humans ; Diffusion Magnetic Resonance Imaging/methods ; Kidney/diagnostic imaging ; Fibrosis
Czasopismo naukowe
Tytuł :
Ultrafast diffusion tensor imaging based on deep learning and multi-slice information sharing.
Autorzy :
Wang J; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China.
Chen Z; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China.
Cai C; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China.
Cai S; Department of Electronic Science, Fujian Provincial Key Laboratory of Plasma and Magnetic Resonance, Xiamen University, Xiamen 361005, People's Republic of China.
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Źródło :
Physics in medicine and biology [Phys Med Biol] 2024 Jan 30; Vol. 69 (3). Date of Electronic Publication: 2024 Jan 30.
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Tensor Imaging*/methods
Deep Learning*
Humans ; Algorithms ; Diffusion Magnetic Resonance Imaging ; Anisotropy
Czasopismo naukowe
Tytuł :
Dissection of the Temporofrontal Extreme Capsule Fasciculus Using Diffusion MRI Tractography and Association with Lexical Retrieval.
Autorzy :
Barbeau EB; Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada .; Center for Research on Brain, Language and Music (CRBLM), Montreal, Quebec H3G 2A8, Canada.
Badhwar A; Département de pharmacologie et physiologie, Faculté de médecine, Université de Montréal, Montreal, Québec H3C 3J7, Canada.; Institut de génie biomédical, Université de Montréal, Montréal, Québec H3C 3J7, Canada.; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, Québec H3C 3J7, Canada.
Kousaie S; Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada .
Bellec P; Centre de Recherche de l'Institut Universitaire de Gériatrie de Montréal (CRIUGM), Montreal, Québec H3C 3J7, Canada.; Département de Psychologie, Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Descoteaux M; Sherbrooke Connectivity Imaging Lab (SCIL), Computer Science Department, Université de Sherbrooke, Sherbrooke, Quebec J1K 2R1, Canada.
Klein D; Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada.; Center for Research on Brain, Language and Music (CRBLM), Montreal, Quebec H3G 2A8, Canada.; Departments of Neurology and Neurosurgery.
Petrides M; Cognitive Neuroscience Unit, Montreal Neurological Institute, McGill University, Montreal, Quebec H3A 2B4, Canada.; Center for Research on Brain, Language and Music (CRBLM), Montreal, Quebec H3G 2A8, Canada.; Departments of Neurology and Neurosurgery.; Psychology, McGill University, Montreal, Quebec H3A 1G1, Canada.
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Źródło :
ENeuro [eNeuro] 2024 Jan 29; Vol. 11 (1). Date of Electronic Publication: 2024 Jan 29 (Print Publication: 2024).
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Magnetic Resonance Imaging*
Frontal Lobe*/diagnostic imaging
Humans ; Neural Pathways/diagnostic imaging ; Diffusion Tensor Imaging ; Temporal Lobe/diagnostic imaging
Czasopismo naukowe
Tytuł :
Characterizing microstructural development in the fetal brain using diffusion MRI from 23 to 36 weeks of gestation.
Autorzy :
Calixto C; Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA 02115, United States.; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States.
Machado-Rivas F; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States.; Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States.
Cortes-Albornoz MC; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States.; Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States.
Karimi D; Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA 02115, United States.; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States.
Velasco-Annis C; Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA 02115, United States.; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States.
Afacan O; Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA 02115, United States.; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States.
Warfield SK; Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA 02115, United States.; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States.
Gholipour A; Computational Radiology Laboratory, Department of Radiology, Boston Children's Hospital, Boston, MA 02115, United States.; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States.
Jaimes C; Department of Radiology, Harvard Medical School, Boston, MA 02115, United States.; Department of Radiology, Massachusetts General Hospital, Boston, MA 02114, United States.
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Źródło :
Cerebral cortex (New York, N.Y. : 1991) [Cereb Cortex] 2024 Jan 14; Vol. 34 (1).
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
MeSH Terms :
Diffusion Tensor Imaging*/methods
White Matter*/diagnostic imaging
White Matter*/pathology
Female ; Humans ; Brain ; Prospective Studies ; Diffusion Magnetic Resonance Imaging ; Magnetic Resonance Imaging ; Anisotropy
Czasopismo naukowe
Tytuł :
Metal artifact reduction around cervical spine implant using diffusion tensor imaging at 3T: A phantom study.
Autorzy :
Tounekti S; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA. Electronic address: .
Alizadeh M; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA.
Middleton D; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
Harrop JS; Department of Neurosurgery, Thomas Jefferson University, Philadelphia, PA, USA.
Hiba B; Institut des Sciences Cognitives, CNRS UMR 5229, Université Lyon 1, Lyon, France.
Krisa L; Department of Physical Therapy, Thomas Jefferson University, Philadelphia, PA, USA.
Mekkaoui C; Harvard Medical School, Boston, MA, USA; Department of Radiology, Massachusetts General Hospital, Boston, MA, USA; A.A. Martinos Center for Biomedical Imaging, Charlestown, MA, USA.
Mohamed FB; Department of Radiology, Thomas Jefferson University, Philadelphia, PA, USA.
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Źródło :
Magnetic resonance imaging [Magn Reson Imaging] 2024 Jan; Vol. 105, pp. 57-66. Date of Electronic Publication: 2023 Nov 07.
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Tensor Imaging*/methods
Artifacts*
Humans ; Diffusion Magnetic Resonance Imaging/methods ; Spinal Cord ; Echo-Planar Imaging/methods ; Cervical Vertebrae/diagnostic imaging ; Cervical Vertebrae/surgery
Czasopismo naukowe
Tytuł :
Quantification of Diffusion Magnetic Resonance Imaging for Prognostic Prediction of Neonatal Hypoxic-Ischemic Encephalopathy.
Autorzy :
Onda K; The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Chavez-Valdez R; Division of Neonatology, Neuroscience Intensive Care Nursery Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.; Division of Neonatology, Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Graham EM; Division of Maternal-Fetal Medicine, Department of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Everett AD; Division of Pediatric Cardiology, Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Northington FJ; Division of Neonatology, Neuroscience Intensive Care Nursery Program, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.; Division of Neonatology, Department of Pediatrics, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Oishi K; The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
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Źródło :
Developmental neuroscience [Dev Neurosci] 2024; Vol. 46 (1), pp. 55-68. Date of Electronic Publication: 2023 May 10.
Typ publikacji :
Journal Article; Review
MeSH Terms :
Diffusion Tensor Imaging*/methods
Hypoxia-Ischemia, Brain*/pathology
Infant, Newborn ; Humans ; Prognosis ; Diffusion Magnetic Resonance Imaging/methods ; Magnetic Resonance Imaging/methods ; Brain/diagnostic imaging ; Brain/pathology ; Edema/complications ; Edema/pathology
Czasopismo naukowe
Tytuł :
Spatiotemporal patterns of cortical microstructural maturation in children and adolescents with diffusion MRI.
Autorzy :
Lynch KM; Laboratory of Neuro Imaging (LONI), USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, California, USA.
Cabeen RP; Laboratory of Neuro Imaging (LONI), USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, California, USA.
Toga AW; Laboratory of Neuro Imaging (LONI), USC Mark and Mary Stevens Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, California, USA.
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Źródło :
Human brain mapping [Hum Brain Mapp] 2024 Jan; Vol. 45 (1), pp. e26528. Date of Electronic Publication: 2023 Nov 22.
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Tensor Imaging*/methods
White Matter*
Child ; Humans ; Adolescent ; Diffusion Magnetic Resonance Imaging ; Neurites ; Neuroimaging ; Head
Czasopismo naukowe
Tytuł :
Improved reconstruction of crossing fibers in the mouse optic pathways with orientation distribution function fingerprinting.
Autorzy :
Filipiak P; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, New York, USA.
Sajitha TA; Department of Ophthalmology, NYU Langone Health, New York, New York, USA.
Shepherd TM; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, New York, USA.
Clarke K; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, New York, USA.
Goldman H; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, New York, USA.
Placantonakis DG; Department of Neurosurgery, Perlmutter Cancer Center, Neuroscience Institute, Kimmel Center for Stem Cell Biology, NYU Langone Health, New York, New York, USA.
Zhang J; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, New York, USA.
Chan KC; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, New York, USA.; Department of Ophthalmology, NYU Langone Health, New York, New York, USA.
Boada FE; Radiological Sciences Laboratory and Molecular Imaging Program at Stanford, Department of Radiology, Stanford University, Stanford, California, USA.
Baete SH; Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, NYU Langone Health, New York, New York, USA.
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Źródło :
Magnetic resonance in medicine [Magn Reson Med] 2024 Mar; Vol. 91 (3), pp. 1075-1086. Date of Electronic Publication: 2023 Nov 05.
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Magnetic Resonance Imaging*/methods
White Matter*
Animals ; Mice ; Mice, Inbred C57BL ; Magnetic Resonance Imaging/methods ; Diffusion Tensor Imaging/methods
Czasopismo naukowe
Tytuł :
Diffusion-weighted MR spectroscopy: Consensus, recommendations, and resources from acquisition to modeling.
Autorzy :
Ligneul C; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Najac C; C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Döring A; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.; CIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Beaulieu C; Departments of Biomedical Engineering and Radiology, University of Alberta, Alberta, Edmonton, Canada.
Branzoli F; Paris Brain Institute-ICM, Sorbonne University, UMR S 1127, Inserm U 1127, CNRS UMR 7225, Paris, France.
Clarke WT; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Cudalbu C; CIBM Center for Biomedical Imaging, Lausanne, Switzerland.; Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Genovese G; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minnesota, Minneapolis, USA.
Jbabdi S; Wellcome Centre for Integrative Neuroimaging, FMRIB, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Jelescu I; Department of Radiology, Lausanne University Hospital, Lausanne, Switzerland.; Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Karampinos D; Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Kreis R; MR Methodology, Department for Diagnostic and Interventional Neuroradiology, University of Bern, Bern, Switzerland.; Translational Imaging Center (TIC), Swiss Institute for Translational and Entrepreneurial Medicine, Bern, Switzerland.
Lundell H; Danish Research Centre for Magnetic Resonance, Centre for Functional and Diagnostic Imaging and Research, Copenhagen University Hospital-Amager anf Hvidovre, Hvidovre, Denmark.; Department of Health Technology, Technical University of Denmark, Lyngby, Denmark.
Marjańska M; Center for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minnesota, Minneapolis, USA.
Möller HE; NMR Methods & Development Group, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.
Mosso J; CIBM Center for Biomedical Imaging, Lausanne, Switzerland.; Animal Imaging and Technology, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.; LIFMET, EPFL, Lausanne, Switzerland.
Mougel E; Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoires des Maladies Neurodégénératives, Fontenay-aux-Roses, France.
Posse S; Department of Neurology, University of New Mexico School of Medicine, New Mexico, Albuquerque, USA.; Department of Physics and Astronomy, University of New Mexico School of Medicine, New Mexico, Albuquerque, USA.
Ruschke S; Department of Diagnostic and Interventional Radiology, Technical University of Munich, Munich, Germany.
Simsek K; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.; School of Computer Science and Informatics, Cardiff University, Cardiff, UK.
Szczepankiewicz F; Medical Radiation Physics, Clinical Sciences Lund, Lund University, Lund, Sweden.
Tal A; Department of Chemical and Biological Physics, The Weizmann Institute of Science, Rehovot, Israel.
Tax C; University Medical Center Utrecht, Utrecht, The Netherlands.; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Physics and Astronomy, Cardiff University, Cardiff, United Kingdom.
Oeltzschner G; Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Maryland, Baltimore, USA.; F. M. Kirby Center for Functional Brain Imaging, Kennedy Krieger Institute, Maryland, Baltimore, USA.
Palombo M; Cardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University, Cardiff, UK.; School of Computer Science and Informatics, Cardiff University, Cardiff, UK.
Ronen I; Clinical Imaging Sciences Centre, Brighton and Sussex Medical School, Brighton, UK.
Valette J; Université Paris-Saclay, CEA, CNRS, MIRCen, Laboratoires des Maladies Neurodégénératives, Fontenay-aux-Roses, France.
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Źródło :
Magnetic resonance in medicine [Magn Reson Med] 2024 Mar; Vol. 91 (3), pp. 860-885. Date of Electronic Publication: 2023 Nov 09.
Typ publikacji :
Journal Article
MeSH Terms :
Brain*/metabolism
Diffusion Magnetic Resonance Imaging*/methods
Consensus ; Magnetic Resonance Spectroscopy/methods ; Diffusion
Czasopismo naukowe
Tytuł :
Development and validation of cardiac diffusion weighted magnetic resonance imaging for the diagnosis of myocardial injury in small animal models.
Autorzy :
Park CH; Department of Radiology and the Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Kim PK; Department of Radiology and the Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Kim Y; Department of Laboratory Medicine, Gangnam Severance Hospital Yonsei University College of Medicine, Seoul, Republic of Korea.
Kim TH; Department of Radiology and the Research Institute of Radiological Science, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hong YJ; Department of Radiology and the Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Ahn E; Department of Radiology and the Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea.
Cha YJ; Department of Pathology, Gangnam Severance Hospital, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 06273, Republic of Korea. .
Choi BW; Department of Radiology and the Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Republic of Korea. .
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Źródło :
Scientific reports [Sci Rep] 2024 Feb 12; Vol. 14 (1), pp. 3552. Date of Electronic Publication: 2024 Feb 12.
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Tensor Imaging*
Heart Injuries*/chemically induced
Heart Injuries*/diagnostic imaging
Animals ; Rats ; Troponin I ; Isoproterenol ; Diffusion Magnetic Resonance Imaging/methods ; Magnetic Resonance Imaging/methods ; Models, Animal ; Reproducibility of Results
Czasopismo naukowe
Tytuł :
Comparative study of stretched-exponential and kurtosis models of diffusion-weighted imaging in renal assessment to distinguish patients with primary aldosteronism from healthy controls.
Autorzy :
Wen D; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Peng P; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Yue X; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.; Department of Radiology, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.
Xu C; Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Pu Q; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Ming Y; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Yang H; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
Zhang M; GE Healthcare, MR Research, Beijing, China.
Ren Y; Department of Endocrinology and Metabolism, West China Hospital, Sichuan University, Chengdu, China.
Sun J; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
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Źródło :
PloS one [PLoS One] 2024 Feb 08; Vol. 19 (2), pp. e0298207. Date of Electronic Publication: 2024 Feb 08 (Print Publication: 2024).
Typ publikacji :
Journal Article
MeSH Terms :
Diffusion Magnetic Resonance Imaging*/methods
Hyperaldosteronism*/diagnostic imaging
Humans ; Kidney/diagnostic imaging ; Diffusion Tensor Imaging/methods ; Magnetic Resonance Imaging/methods
Czasopismo naukowe
Tytuł :
Similarity between structural and proxy estimates of brain connectivity.
Autorzy :
Lizarraga A; Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Ripp I; Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Sala A; Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.; Coma Science Group, GIGA Consciousness, University of Liege; Centre du Cerveau2, University Hospital of Liege, Avenue de L'Hôpital 1, Liege, Belgium.
Shi K; Department of Nuclear Medicine, University Hospital Bern, Bern, Switzerland.
Düring M; Medical Image Analysis Center (MIAC AG) and Qbig, Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
Koch K; Department of Neuroradiology, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
Yakushev I; Department of Nuclear Medicine, School of Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany.
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Źródło :
Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism [J Cereb Blood Flow Metab] 2024 Feb; Vol. 44 (2), pp. 284-295. Date of Electronic Publication: 2023 Sep 29.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms :
Diffusion Tensor Imaging*
Connectome*/methods
Middle Aged ; Humans ; Fluorodeoxyglucose F18 ; Brain/pathology ; Magnetic Resonance Imaging/methods ; Diffusion Magnetic Resonance Imaging ; Brain Mapping
Czasopismo naukowe

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