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Tytuł:
iCanClean Removes Motion, Muscle, Eye, and Line-Noise Artifacts from Phantom EEG.
Autorzy:
Downey RJ; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
Ferris DP; J. Crayton Pruitt Family Department of Biomedical Engineering, University of Florida, Gainesville, FL 32611, USA.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Oct 01; Vol. 23 (19). Date of Electronic Publication: 2023 Oct 01.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Brain*/diagnostic imaging
Brain*/physiology
Humans ; Electroencephalography/methods ; Scalp ; Algorithms ; Facial Muscles ; Signal Processing, Computer-Assisted
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Histological implications of high-power laser use in the oral soft tissue lesions: a systematic review.
Autorzy:
Lopes-Santos G; Department of Surgery, Stomatology, Pathology and Radiology, Area of Pathology, Bauru School of Dentistry, University of São Paulo, Bauru, São Paulo, Brazil.
Peralta-Mamani M; Department of Surgery, Stomatology, Pathology and Radiology, Area of Pathology, Bauru School of Dentistry, University of São Paulo, Bauru, São Paulo, Brazil.; Faculdade do Centro Oeste Paulista - FACOP, Piratininga, São Paulo, Brazil.
Oliveira DT; Department of Surgery, Stomatology, Pathology and Radiology, Area of Pathology, Bauru School of Dentistry, University of São Paulo, Bauru, São Paulo, Brazil. .
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Źródło:
Lasers in medical science [Lasers Med Sci] 2023 Nov 11; Vol. 38 (1), pp. 263. Date of Electronic Publication: 2023 Nov 11.
Typ publikacji:
Systematic Review; Journal Article; Review
MeSH Terms:
Lasers*
Artifacts*
Administration, Oral ; Biopsy/methods
Czasopismo naukowe
Szczegóły
Tytuł:
Mitigation of motion-induced artifacts in cone beam computed tomography using deep convolutional neural networks.
Autorzy:
Amirian M; Centre for Artificial Intelligence CAI, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.; Institute of Neural Information Processing, Ulm University, Ulm, Germany.
Montoya-Zegarra JA; Centre for Artificial Intelligence CAI, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.
Herzig I; Institute for Applied Mathematics and Physics IAMP, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.
Eggenberger Hotz P; Institute for Applied Mathematics and Physics IAMP, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.
Lichtensteiger L; Institute for Applied Mathematics and Physics IAMP, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.
Morf M; Institute for Applied Mathematics and Physics IAMP, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.
Züst A; Institute for Applied Mathematics and Physics IAMP, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.
Paysan P; Varian Medical Systems Imaging Laboratory GmbH, Baden, Switzerland.
Peterlik I; Varian Medical Systems Imaging Laboratory GmbH, Baden, Switzerland.
Scheib S; Varian Medical Systems Imaging Laboratory GmbH, Baden, Switzerland.
Füchslin RM; Institute for Applied Mathematics and Physics IAMP, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.; European Centre for Living Technology, Venice, Italy.
Stadelmann T; Centre for Artificial Intelligence CAI, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.; European Centre for Living Technology, Venice, Italy.
Schilling FP; Centre for Artificial Intelligence CAI, Zurich University of Applied Sciences ZHAW, Winterthur, Switzerland.
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Źródło:
Medical physics [Med Phys] 2023 Oct; Vol. 50 (10), pp. 6228-6242. Date of Electronic Publication: 2023 Apr 11.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*/methods
Humans ; Neural Networks, Computer ; Motion ; Algorithms ; Cone-Beam Computed Tomography/methods ; Four-Dimensional Computed Tomography/methods ; Phantoms, Imaging
Czasopismo naukowe
Szczegóły
Tytuł:
Numerical approach to investigate MR imaging artifacts from orthopedic implants at different field strengths according to ASTM F2119.
Autorzy:
Spronk T; Erwin L. Hahn Institute for MR Imaging, University of Duisburg-Essen, Kokereiallee 7, Building C84, 45141, Essen, Germany. .; High-Field and Hybrid MR Imaging, University Hospital Essen, University Duisburg-Essen, Essen, Germany. .; MRI-STaR Magnetic Resonance Institute for Safety GmbH, Technology and Research GmbH, Gelsenkirchen, Germany. .
Kraff O; Erwin L. Hahn Institute for MR Imaging, University of Duisburg-Essen, Kokereiallee 7, Building C84, 45141, Essen, Germany.
Schaefers G; MRI-STaR Magnetic Resonance Institute for Safety GmbH, Technology and Research GmbH, Gelsenkirchen, Germany.; MR:Comp GmbH, Testing Services for MR Safety and Compatibility, Gelsenkirchen, Germany.
Quick HH; Erwin L. Hahn Institute for MR Imaging, University of Duisburg-Essen, Kokereiallee 7, Building C84, 45141, Essen, Germany.; High-Field and Hybrid MR Imaging, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
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Źródło:
Magma (New York, N.Y.) [MAGMA] 2023 Oct; Vol. 36 (5), pp. 725-735. Date of Electronic Publication: 2023 Mar 18.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Prostheses and Implants*
Humans ; Computer Simulation ; Magnetic Resonance Imaging/methods
Czasopismo naukowe
Szczegóły
Tytuł:
Neural network guided sinogram-domain iterative algorithm for artifact reduction.
Autorzy:
Zeng GL; Department of Computer Science, Utah Valley University, Salt Lake City, Utah, USA.; Department of Radiology and Imaging Sciences, University of Utah, Salt Lake City, Utah, USA.
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Źródło:
Medical physics [Med Phys] 2023 Sep; Vol. 50 (9), pp. 5410-5420. Date of Electronic Publication: 2023 Jun 06.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*/methods
Humans ; Metals ; Neural Networks, Computer ; Algorithms ; Phantoms, Imaging
Czasopismo naukowe
Szczegóły
Tytuł:
Low pitch significantly reduces helical artifacts in abdominal CT.
Autorzy:
Ahmad M; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, United States.
Sun P; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, United States.
Peterson CB; Department of Biostatistics, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, United States.
Anderson MR; Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, United States.
Liu X; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, United States.
Morani AC; Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, United States.
Jensen CT; Department of Abdominal Imaging, The University of Texas MD Anderson Cancer Center, 1400 Pressler Street, Unit 1473, Houston, TX 77030-4009, United States. Electronic address: .
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Źródło:
European journal of radiology [Eur J Radiol] 2023 Sep; Vol. 166, pp. 110977. Date of Electronic Publication: 2023 Jul 13.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Tomography, X-Ray Computed*/methods
Adult ; Humans ; Motion ; Retrospective Studies ; Abdomen/diagnostic imaging ; Phantoms, Imaging
Czasopismo naukowe
Szczegóły
Tytuł:
A pictorial guide to artifacts on contrast mammography: How to avoid pitfalls and improve interpretation.
Autorzy:
Bennett C; Heersink School of Medicine, University of Alabama Birmingham, 510 20th St S, Birmingham, AL 35233, United States.
Woodard S; University of Alabama at Birmingham, Department of Radiology, JTN 478, 619 20th Street South, Birmingham, AL 35249, United States.
Zamora K; University of Alabama at Birmingham, Department of Radiology, JTN 478, 619 20th Street South, Birmingham, AL 35249, United States. Electronic address: .
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Źródło:
Clinical imaging [Clin Imaging] 2023 Sep; Vol. 101, pp. 215-222. Date of Electronic Publication: 2023 Jul 05.
Typ publikacji:
Journal Article; Review
MeSH Terms:
Artifacts*
Breast Neoplasms*/diagnostic imaging
Humans ; Female ; Contrast Media ; Mammography/methods ; Magnetic Resonance Imaging/methods ; Sensitivity and Specificity
Czasopismo naukowe
Szczegóły
Tytuł:
Influence of demographic factors on the occurrence of motion artefacts in HR-pQCT.
Autorzy:
Benedikt S; Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
Rieser L; Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria. .; Department of Orthopaedics and Traumatology, Bezirkskrankenhaus Schwaz, Swarovskistraße 1/3, 6130, Schwaz, Austria. .
Schmidle G; Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
Stock K; Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
Horling L; Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
Degenhart G; Department of Radiology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
Arora R; Department of Orthopaedics and Traumatology, Medical University Innsbruck, Anichstraße 35, 6020, Innsbruck, Austria.
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Źródło:
Archives of osteoporosis [Arch Osteoporos] 2023 Nov 27; Vol. 18 (1), pp. 142. Date of Electronic Publication: 2023 Nov 27.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Tomography, X-Ray Computed*/methods
Humans ; Retrospective Studies ; Radius ; Demography ; Bone Density ; Tibia
Czasopismo naukowe
Szczegóły
Tytuł:
A Lightweight Deep Learning Framework for Automatic MRI Data Sorting and Artifacts Detection.
Autorzy:
Gao R; Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Luo G; Department of Radiology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.
Ding R; IT Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Yang B; IT Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China.
Sun H; Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan, China. .; Huaxi MR Research Center, West China Hospital of Sichuan University, Chengdu, Sichuan, China. .; Huaxi MR Research Center, Department of Radiology, West China Hospital of Sichuan University, Chengdu, 610041, Sichuan, China. .
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Źródło:
Journal of medical systems [J Med Syst] 2023 Nov 24; Vol. 47 (1), pp. 124. Date of Electronic Publication: 2023 Nov 24.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Deep Learning*
Humans ; Retrospective Studies ; Magnetic Resonance Imaging/methods ; Neuroimaging
Czasopismo naukowe
Szczegóły
Tytuł:
A dual-stage partially interpretable neural network for joint suppression of bSSFP banding and flow artifacts in non-phase-cycled cine imaging.
Autorzy:
Chen Z; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Hua S; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gao J; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Chen Y; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Gong Y; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shen Y; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Tang X; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Emu Y; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China.
Jin W; Department of Cardiovascular Medicine, Heart Failure Center, Ruijin Hospital Lu Wan Branch, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Hu C; National Engineering Research Center of Advanced Magnetic Resonance Technologies for Diagnosis and Therapy, School of Biomedical Engineering, Shanghai Jiao Tong University, 415 S Med-X Center, 1954 Huashan Road, Shanghai, 200030, China. .
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Źródło:
Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance [J Cardiovasc Magn Reson] 2023 Nov 23; Vol. 25 (1), pp. 68. Date of Electronic Publication: 2023 Nov 23.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*/methods
Artifacts*
Humans ; Image Enhancement/methods ; Retrospective Studies ; Stroke Volume ; Image Interpretation, Computer-Assisted/methods ; Algorithms ; Predictive Value of Tests ; Reproducibility of Results ; Ventricular Function, Left ; Neural Networks, Computer ; Magnetic Resonance Imaging, Cine
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Artifact Augmentation for Enhanced Tissue Detection in Microscope Scanner Systems.
Autorzy:
Küttel D; Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary.; John von Neumann Faculty of Informatics, Óbuda University, 1034 Budapest, Hungary.
Kovács L; Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary.
Szölgyén Á; Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary.
Paulik R; Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary.
Jónás V; Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary.
Kozlovszky M; John von Neumann Faculty of Informatics, Óbuda University, 1034 Budapest, Hungary.; Medical Device Research Group, LPDS, Institute for Computer Science and Control, Hungarian Academy of Sciences (SZTAKI), 1111 Budapest, Hungary.
Molnár B; Image Analysis Department, 3DHISTECH Ltd., 1141 Budapest, Hungary.; 2nd Department of Internal Medicine, Semmelweis University, 1088 Budapest, Hungary.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Nov 17; Vol. 23 (22). Date of Electronic Publication: 2023 Nov 17.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*/methods
Neural Networks, Computer ; Automation
Czasopismo naukowe
Szczegóły
Tytuł:
Accurate exclusion of kidney regions affected by susceptibility artifact in blood oxygenation level-dependent (BOLD) images using deep-learning-based segmentation.
Autorzy:
Ni C; School of Biomedical Engineering, ShanghaiTech University, Room 416, BME Building, 393 Middle Huaxia Road, Pudong, Shanghai, China.
Mu X; School of Biomedical Engineering, ShanghaiTech University, Room 416, BME Building, 393 Middle Huaxia Road, Pudong, Shanghai, China.
Wu M; Central Research Institute, United Imaging Healthcare Group, Shanghai, China.
Li Y; Central Research Institute, United Imaging Healthcare Group, Shanghai, China.
Zhang Y; School of Information Science and Technology, ShanghaiTech University, Shanghai, China.
Qi H; School of Biomedical Engineering, ShanghaiTech University, Room 416, BME Building, 393 Middle Huaxia Road, Pudong, Shanghai, China.
Zhang JL; School of Biomedical Engineering, ShanghaiTech University, Room 416, BME Building, 393 Middle Huaxia Road, Pudong, Shanghai, China. .
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Źródło:
Scientific reports [Sci Rep] 2023 Nov 06; Vol. 13 (1), pp. 19191. Date of Electronic Publication: 2023 Nov 06.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Artifacts*
Deep Learning*
Humans ; Kidney ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Szczegóły
Tytuł:
Mosaic 46,XX,der(9)t(9;13)(p24;q12)/46,XX at amniocentesis can be a culture artefact and associated with a favorable fetal outcome.
Autorzy:
Chen CP; Department of Obstetrics and Gynecology, Mackay Memorial Hospital, Taipei, Taiwan; Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan; School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan; Institute of Clinical and Community Health Nursing, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Obstetrics and Gynecology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan; Department of Medical Laboratory Science and Biotechnology, College of Medical and Health Science, Asia University, Taichung, Taiwan. Electronic address: cpc_.
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Źródło:
Taiwanese journal of obstetrics & gynecology [Taiwan J Obstet Gynecol] 2023 Nov; Vol. 62 (6), pp. 931-932.
Typ publikacji:
Journal Article
MeSH Terms:
Amniocentesis*
Artifacts*
Pregnancy ; Female ; Humans ; Cytogenetic Analysis ; Trisomy ; Mosaicism ; Comparative Genomic Hybridization
Czasopismo naukowe
Szczegóły
Tytuł:
A multi-stack registration technique to improve measurement accuracy and precision across longitudinal HR-pQCT scans.
Autorzy:
Whittier DE; Institute for Biomechanics, ETH Zurich, Zurich, Switzerland; Department of Osteoporosis, Inselspital, Bern University Hospital, University of Bern, Switzerland.
Walle M; Institute for Biomechanics, ETH Zurich, Zurich, Switzerland.
Schenk D; ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Atkins PR; Institute for Biomechanics, ETH Zurich, Zurich, Switzerland; Department of Osteoporosis, Inselspital, Bern University Hospital, University of Bern, Switzerland; Scientific Computing and Imaging Institute, University of Utah, Salt Lake City, United States.
Collins CJ; Institute for Biomechanics, ETH Zurich, Zurich, Switzerland; Department of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, United States.
Zysset P; ARTORG Center for Biomedical Engineering Research, University of Bern, Bern, Switzerland.
Lippuner K; Department of Osteoporosis, Inselspital, Bern University Hospital, University of Bern, Switzerland.
Müller R; Institute for Biomechanics, ETH Zurich, Zurich, Switzerland. Electronic address: .
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Źródło:
Bone [Bone] 2023 Nov; Vol. 176, pp. 116893. Date of Electronic Publication: 2023 Sep 03.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Algorithms*
Artifacts*
Humans ; Reproducibility of Results ; Radionuclide Imaging ; Bone Remodeling
Czasopismo naukowe
Szczegóły
Tytuł:
Dark band artifact in transcranial MR-guided focused ultrasound: Mechanism and mitigation with passive crossed wire antennas.
Autorzy:
Yan X; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN 37232, USA. Electronic address: .
Allen S; Department of Electrical and Computer Engineering, Brigham Young University, Provo, UT 84602, USA.
Lu M; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Moore D; Focused Ultrasound Foundation, Charlottesville, VA, USA.
Meyer CH; Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
Grissom WA; Vanderbilt University Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center, Nashville, TN 37232, USA; Department of Electrical and Computer Engineering, Vanderbilt University, Nashville, TN 37232, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN 37232, USA.
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Źródło:
Magnetic resonance imaging [Magn Reson Imaging] 2023 Nov; Vol. 103, pp. 169-178. Date of Electronic Publication: 2023 Aug 04.
Typ publikacji:
Journal Article; Research Support, N.I.H., Extramural
MeSH Terms:
Artifacts*
Essential Tremor*
Humans ; Brain/diagnostic imaging ; Ultrasonography ; Phantoms, Imaging ; Magnetic Resonance Imaging/methods
Czasopismo naukowe
Szczegóły
Tytuł:
Combining virtual monoenergetic imaging and iterative metal artifact reduction in first-generation photon-counting computed tomography of patients with dental implants.
Autorzy:
Patzer TS; Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstraße 6, 97080, Würzburg, Germany. Patzer_.
Kunz AS; Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstraße 6, 97080, Würzburg, Germany.
Huflage H; Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstraße 6, 97080, Würzburg, Germany.
Gruschwitz P; Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstraße 6, 97080, Würzburg, Germany.
Pannenbecker P; Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstraße 6, 97080, Würzburg, Germany.
Afat S; Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Hoppe-Seyler-Str 3, 72076, Tübingen, Germany.
Herrmann J; Department of Diagnostic and Interventional Radiology, University Hospital Tübingen, Hoppe-Seyler-Str 3, 72076, Tübingen, Germany.
Petritsch B; Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstraße 6, 97080, Würzburg, Germany.
Bley TA; Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstraße 6, 97080, Würzburg, Germany.
Grunz JP; Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Oberdürrbacherstraße 6, 97080, Würzburg, Germany.
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Źródło:
European radiology [Eur Radiol] 2023 Nov; Vol. 33 (11), pp. 7818-7829. Date of Electronic Publication: 2023 Jun 07.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Dental Implants*
Humans ; Female ; Middle Aged ; Aged ; Reproducibility of Results ; Metals ; Tomography, X-Ray Computed/methods ; Algorithms
Czasopismo naukowe
Szczegóły
Tytuł:
VoxMore: technological artifact to assist voice acoustic evaluation in the teaching-learning process and clinical practice.
Autorzy:
Abreu SR; Universidade Federal da Paraíba - UFPB - João Pessoa (PB), Brasil.
Moraes RM; Universidade Federal da Paraíba - UFPB - João Pessoa (PB), Brasil.
Martins PDN; Universidade Estadual do Centro-Oeste - UNICENTRO - Irati (PR), Brasil.
Lopes LW; Universidade Federal da Paraíba - UFPB - João Pessoa (PB), Brasil.
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Transliterated Title:
VoxMore: artefato tecnológico para auxiliar a avaliação acústica da voz no processo ensino-aprendizagem e prática clínica.
Źródło:
CoDAS [Codas] 2023 Oct 30; Vol. 35 (6), pp. e20220166. Date of Electronic Publication: 2023 Oct 30 (Print Publication: 2023).
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Voice*
Humans ; Speech Acoustics ; Voice Quality ; Acoustics
Czasopismo naukowe
Szczegóły
Tytuł:
Retrospective Motion Artifact Reduction by Spatial Scaling of Liver Diffusion-Weighted Images.
Autorzy:
Raspe J; School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany.; School of Natural Sciences, Technical University of Munich, 85748 Garching, Germany.
Harder FN; School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany.
Rupp S; School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany.
McTavish S; School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany.
Peeters JM; Philips Healthcare, 5684 PC Best, The Netherlands.
Weiss K; Philips GmbH Market DACH, 22335 Hamburg, Germany.
Makowski MR; School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany.
Braren RF; School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany.
Karampinos DC; School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany.
Van AT; School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany.
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Źródło:
Tomography (Ann Arbor, Mich.) [Tomography] 2023 Oct 06; Vol. 9 (5), pp. 1839-1856. Date of Electronic Publication: 2023 Oct 06.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Artifacts*
Liver*/diagnostic imaging
Retrospective Studies ; Reproducibility of Results ; Motion ; Diffusion Magnetic Resonance Imaging/methods
Czasopismo naukowe
Szczegóły
Tytuł:
Unsupervised dual-domain disentangled network for removal of rigid motion artifacts in MRI.
Autorzy:
Wu B; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. Electronic address: .
Li C; Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China. Electronic address: .
Zhang J; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. Electronic address: .
Lai H; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China. Electronic address: .
Feng Q; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China. Electronic address: .
Huang M; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou 510515, China. Electronic address: .
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Źródło:
Computers in biology and medicine [Comput Biol Med] 2023 Oct; Vol. 165, pp. 107373. Date of Electronic Publication: 2023 Aug 16.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Artifacts*
Magnetic Resonance Imaging*/methods
Motion ; Image Processing, Computer-Assisted/methods
Czasopismo naukowe
Szczegóły
Tytuł:
On the accuracy of the Conventional gait Model: Distinction between marker misplacement and soft tissue artefact errors.
Autorzy:
Leboeuf F; Motion analysis service, Physical Medicine and Rehabilitation, Teaching Hopital of Nantes, France; School of Health & Society, The University of Salford, UK; Nantes Université, Movement - Interactions - Performance, MIP, UR 4334, F-44000 Nantes, France. Electronic address: .
Barre A; Moveck Solution Inc, Québec, Canada.
Aminian K; Laboratory for Movement Analysis and Measurement, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland.
Sangeux M; University Children's Hospital, Basel, Switzerland.
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Źródło:
Journal of biomechanics [J Biomech] 2023 Oct; Vol. 159, pp. 111774. Date of Electronic Publication: 2023 Aug 24.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Gait*
Humans ; Knee Joint ; Knee ; Lower Extremity ; Biomechanical Phenomena
Czasopismo naukowe
Szczegóły
Wyświetlanie 1-20 z 35219

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