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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
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Continuous evaluation of denoising strategies in resting-state fMRI connectivity using fMRIPrep and Nilearn.
Autorzy:
Wang HT; Centre de recherche de l'institut Universitaire de gériatrie de Montréal (CRIUGM), Montréal, Québec, Canada.
Meisler SL; Program in Speech and Hearing Bioscience and Technology, Harvard University, Massachusetts, United States of America.; Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Massachusetts, United States of America.
Sharmarke H; Centre de recherche de l'institut Universitaire de gériatrie de Montréal (CRIUGM), Montréal, Québec, Canada.
Clarke N; Centre de recherche de l'institut Universitaire de gériatrie de Montréal (CRIUGM), Montréal, Québec, Canada.
Gensollen N; Inria, CEA, Université Paris-Saclay, Paris, France.
Markiewicz CJ; Department of Psychology, Stanford University, Stanford, United States of America.
Paugam F; Centre de recherche de l'institut Universitaire de gériatrie de Montréal (CRIUGM), Montréal, Québec, Canada.; Computer Science and Operations Research Department, Université de Montréal, Montréal, Québec, Canada.; Mila-Institut Québécois d'Intelligence Artificielle, Montréal, Canada.
Thirion B; Inria, CEA, Université Paris-Saclay, Paris, France.
Bellec P; Centre de recherche de l'institut Universitaire de gériatrie de Montréal (CRIUGM), Montréal, Québec, Canada.; Psychology Department, Université de Montréal, Montréal, Québec, Canada.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2024 Mar 18; Vol. 20 (3), pp. e1011942. Date of Electronic Publication: 2024 Mar 18 (Print Publication: 2024).
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*/methods
Image Processing, Computer-Assisted*/methods
Artifacts ; Brain/diagnostic imaging ; Brain/physiology ; Brain Mapping/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Encoding scheme design for gradient-free, nonlinear projection imaging using Bloch-Siegert RF spatial encoding in a low-field, open MRI system.
Autorzy:
Selvaganesan K; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Ha Y; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Sun H; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Zhang Z; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Sun C; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Samardzija A; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
Galiana G; Department of Biomedical Engineering, Yale University, New Haven, CT, USA.; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA.
Constable RT; Department of Biomedical Engineering, Yale University, New Haven, CT, USA. .; Department of Radiology and Biomedical Imaging, Yale School of Medicine, New Haven, CT, USA. .; Yale University School of Medicine, Magnetic Resonance Research Center, 300 Cedar Street, New Haven, CT, 06520, USA. .
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Źródło:
Scientific reports [Sci Rep] 2024 Feb 08; Vol. 14 (1), pp. 3307. Date of Electronic Publication: 2024 Feb 08.
Typ publikacji:
Journal Article
MeSH Terms:
Magnetic Resonance Imaging*/methods
Image Processing, Computer-Assisted*/methods
Algorithms ; Artifacts ; Phantoms, Imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Comprehensive evaluation of artifact reduction and tissue recovery effects of metal artifact reduction technique based on full-reference metric.
Autorzy:
Jung Y; Center for Mathematical Modeling of Knee Osteoarthritis, Department of Materials and Production, Aalborg University, Åalborg, Denmark.
Song YS; Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea. .; School of medicine, Pusan National University, Busan, Republic of Korea. .
Lee IS; Department of Radiology, Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.; School of medicine, Pusan National University, Busan, Republic of Korea.
Rhee SJ; School of medicine, Pusan National University, Busan, Republic of Korea.; Department of Orthopedic Surgery, Biomedical Research Institute, Pusan National University Hospital, Busan, Republic of Korea.
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Źródło:
Scientific reports [Sci Rep] 2023 Jul 19; Vol. 13 (1), pp. 11679. Date of Electronic Publication: 2023 Jul 19.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*/methods
Algorithms ; Metals ; Phantoms, Imaging ; Tomography, X-Ray Computed/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Deep-Manager: a versatile tool for optimal feature selection in live-cell imaging analysis.
Autorzy:
Mencattini A; Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy.; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, 00133, Rome, Italy.
D'Orazio M; Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy.; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, 00133, Rome, Italy.
Casti P; Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy.; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, 00133, Rome, Italy.
Comes MC; Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy.; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, 00133, Rome, Italy.
Di Giuseppe D; Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy.; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, 00133, Rome, Italy.
Antonelli G; Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy.; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, 00133, Rome, Italy.
Filippi J; Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy.; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, 00133, Rome, Italy.
Corsi F; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, 00133, Rome, Italy.; Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy.
Ghibelli L; Department of Biology, University of Rome Tor Vergata, 00133, Rome, Italy.
Veith I; Inserm U830, Stress and Cancer Lab, Institut Curie, Centre de Recherche, Paris Sciences et Lettres Research University, 75005, Paris, France.
Di Natale C; Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy.
Parrini MC; Inserm U830, Stress and Cancer Lab, Institut Curie, Centre de Recherche, Paris Sciences et Lettres Research University, 75005, Paris, France.
Martinelli E; Department of Electronic Engineering, University of Rome Tor Vergata, 00133, Rome, Italy. .; Interdisciplinary Center for Advanced Studies on Lab-on-Chip and Organ-on-Chip Applications (IC-LOC), University of Rome Tor Vergata, 00133, Rome, Italy. .
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Źródło:
Communications biology [Commun Biol] 2023 Mar 03; Vol. 6 (1), pp. 241. Date of Electronic Publication: 2023 Mar 03.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*
Green Fluorescent Proteins ; Neural Networks, Computer ; Software
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A platform-independent framework for phenotyping of multiplex tissue imaging data.
Autorzy:
Ahmadian M; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.
Rickert C; Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.
Minic A; Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.
Wrobel J; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.
Bitler BG; Division of Reproductive Sciences, Department of OB/GYN, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.
Xing F; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.
Angelo M; Department of Pathology, Stanford University, Stanford, California, United States of America.
Hsieh EWY; Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.; Pediatrics, Section of Allergy and Immunology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.
Ghosh D; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.
Jordan KR; Department of Immunology and Microbiology, University of Colorado Anschutz Medical Campus, Aurora, Colorado, United States of America.
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Źródło:
PLoS computational biology [PLoS Comput Biol] 2023 Sep 21; Vol. 19 (9), pp. e1011432. Date of Electronic Publication: 2023 Sep 21 (Print Publication: 2023).
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't; Research Support, N.I.H., Extramural; Research Support, U.S. Gov't, Non-P.H.S.
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Tomography, X-Ray Computed*/methods
Artifacts ; Signal-To-Noise Ratio ; Algorithms
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
A Dilated Residual Network for Turbine Blade ICT Image Artifact Removal.
Autorzy:
Han R; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Zeng F; China Gas Turbine Establishment, Aero Engine Corporation of China, Chengdu 610500, China.
Li J; China Gas Turbine Establishment, Aero Engine Corporation of China, Chengdu 610500, China.
Yao Z; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Guo W; State Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China.
Zhao J; School of Automation, Beijing Information Science and Technology University, Beijing 100192, China.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 16; Vol. 23 (2). Date of Electronic Publication: 2023 Jan 16.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*/methods
Tomography, X-Ray Computed ; Neural Networks, Computer
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Image Recovery from Synthetic Noise Artifacts in CT Scans Using Modified U-Net.
Autorzy:
Gunawan R; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Tran Y; Macquarie University Hearing (MU Hearing), Centre for Healthcare Resilience and Implementation Science, Macquarie University, Macquarie Park, NSW 2109, Australia.
Zheng J; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Nguyen H; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
Chai R; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Sep 16; Vol. 22 (18). Date of Electronic Publication: 2022 Sep 16.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*/methods
Radiation Dosage ; Signal-To-Noise Ratio ; Tomography, X-Ray Computed/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Computational Integral Imaging Reconstruction via Elemental Image Blending without Normalization.
Autorzy:
Lee E; Department of Computer Science, Sangmyung University, Seoul 110-743, Republic of Korea.
Cho H; Department of Computer Science, Sangmyung University, Seoul 110-743, Republic of Korea.
Yoo H; Department of Intelligent IOT, Sangmyung University, Seoul 110-743, Republic of Korea.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jun 09; Vol. 23 (12). Date of Electronic Publication: 2023 Jun 09.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Image Processing, Computer-Assisted*
Artifacts ; Vision, Ocular
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Research on Optimization Scheme for Blocking Artifacts after Patch-Based Medical Image Reconstruction.
Autorzy:
Xu Y; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.; College of Information Science and Engineering Linyi University, Shandong Province 276005, China.
Hu S; College of Information Science and Engineering Linyi University, Shandong Province 276005, China.
Du Y; College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China.
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Źródło:
Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Jul 31; Vol. 2022, pp. 2177159. Date of Electronic Publication: 2022 Jul 31 (Print Publication: 2022).
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*/methods
Algorithms ; Humans ; Normal Distribution
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Deep learning synthesis of cone-beam computed tomography from zero echo time magnetic resonance imaging.
Autorzy:
Choi H; Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-ro Nam-gu, Pohang, 37673, Republic of Korea.
Yun JP; Daegyeong Division, Korea Institute of Industrial Technology, Daegu, Republic of Korea.
Lee A; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, 50-1 Yonsei-ro Seodaemun-gu, Seoul, 03722, Republic of Korea.
Han SS; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, 50-1 Yonsei-ro Seodaemun-gu, Seoul, 03722, Republic of Korea.
Kim SW; Department of Electrical Engineering, Pohang University of Science and Technology, 77 Cheongam-ro Nam-gu, Pohang, 37673, Republic of Korea. .
Lee C; Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, 50-1 Yonsei-ro Seodaemun-gu, Seoul, 03722, Republic of Korea. .; Institute for Innovative in Digital Healthcare, Yonsei University, Seoul, Republic of Korea. .
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Źródło:
Scientific reports [Sci Rep] 2023 Apr 13; Vol. 13 (1), pp. 6031. Date of Electronic Publication: 2023 Apr 13.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Deep Learning*
Humans ; Cone-Beam Computed Tomography/methods ; Magnetic Resonance Imaging ; Artifacts ; Phantoms, Imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Real-time X-ray imaging of mouse cerebral microvessels in vivo using a pixel temporal averaging method.
Autorzy:
Yu F; Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201204, People's Republic of China.
Wang F; Shanghai Synchrotron Radiation Facility/Zhang Jiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201800, People's Republic of China.
Li K; Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201204, People's Republic of China.
Du G; Shanghai Synchrotron Radiation Facility/Zhang Jiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201800, People's Republic of China.
Deng B; Shanghai Synchrotron Radiation Facility/Zhang Jiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201800, People's Republic of China.
Xie H; Shanghai Synchrotron Radiation Facility/Zhang Jiang Lab, Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201800, People's Republic of China.
Yang G; Med-X Research Institute and School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, People's Republic of China.
Xiao T; Shanghai Institute of Applied Physics, Chinese Academy of Sciences, Shanghai 201204, People's Republic of China.
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Źródło:
Journal of synchrotron radiation [J Synchrotron Radiat] 2022 Jan 01; Vol. 29 (Pt 1), pp. 239-246. Date of Electronic Publication: 2022 Jan 01.
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*
Animals ; Mice ; Microvessels/diagnostic imaging ; Radiography ; X-Rays
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Artifact-Assisted multi-level and multi-scale feature fusion attention network for low-dose CT denoising.
Autorzy:
Cui X; School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China.
Guo Y; School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China.
Zhang X; School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China.
Shangguan H; School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China.
Liu B; School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China.
Wang A; School of Electronic Information Engineering, Taiyuan University of Science and Technology, Taiyuan, China.
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Źródło:
Journal of X-ray science and technology [J Xray Sci Technol] 2022; Vol. 30 (5), pp. 875-889.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*/methods
Tomography, X-Ray Computed*/methods
Humans ; Signal-To-Noise Ratio
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Development of two-dimensional beam hardening correction for X-ray micro-CT.
Autorzy:
Davis GR; Centre for Oral Bioengineering Institute of Dentistry Queen Mary University of London, London, England.
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Źródło:
Journal of X-ray science and technology [J Xray Sci Technol] 2022; Vol. 30 (5), pp. 863-874.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Artifacts*
Image Processing, Computer-Assisted*/methods
Algorithms ; Ethanol ; Hydroxyapatites ; Phantoms, Imaging ; X-Ray Microtomography/methods
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Frequency-Domain-Based Structure Losses for CycleGAN-Based Cone-Beam Computed Tomography Translation.
Autorzy:
Pai S; GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands.
Hadzic I; GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands.
Rao C; Division of Image Processing, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.
Zhovannik I; GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands.
Dekker A; GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands.
Traverso A; GROW School for Oncology and Reproduction, Maastricht University Medical Centre+, 6229 HX Maastricht, The Netherlands.
Asteriadis S; Department of Advanced Computing Sciences, Maastricht University, 6229 EN Maastricht, The Netherlands.
Hortal E; Department of Advanced Computing Sciences, Maastricht University, 6229 EN Maastricht, The Netherlands.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 17; Vol. 23 (3). Date of Electronic Publication: 2023 Jan 17.
Typ publikacji:
Journal Article
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Cone-Beam Computed Tomography*
Tomography, X-Ray Computed ; Artifacts ; Benchmarking
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Measurement Reduction Methods for Processing Tomographic Images.
Autorzy:
Chulichkov AI; Faculty of Physics, M. V. Lomonosov Moscow State University, Leninskie Gory, 1, Bld 2, Moscow 119991, Russia.
Balakin DA; Faculty of Physics, M. V. Lomonosov Moscow State University, Leninskie Gory, 1, Bld 2, Moscow 119991, Russia.
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Źródło:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2023 Jan 04; Vol. 23 (2). Date of Electronic Publication: 2023 Jan 04.
Typ publikacji:
Journal Article
MeSH Terms:
Tomography, X-Ray Computed*/methods
Image Processing, Computer-Assisted*/methods
Head ; Algorithms ; Artifacts ; Phantoms, Imaging
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Structure-guided computed tomography reconstruction from limited-angle projections.
Autorzy:
Gong C; School of Mathematics and Statistics, Chongqing Technology and Business University, Chongqing, China.; Chongqing Key Laboratory of Social Economic and Applied Statistics, Chongqing Technology and Business University, Chongqing, China.
Liu J; School of Mathematics and Physics, Guangxi Minzu University, Nanning, China.
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Źródło:
Journal of X-ray science and technology [J Xray Sci Technol] 2023; Vol. 31 (1), pp. 95-117.
Typ publikacji:
Journal Article; Research Support, Non-U.S. Gov't
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Tomography, X-Ray Computed*/methods
Phantoms, Imaging ; Algorithms ; Artifacts
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknie Pełny tekstSzczegóły
Tytuł:
Reduction of metal artifacts from knee tumor prostheses on CT images: value of the single energy metal artifact reduction (SEMAR) algorithm.
Autorzy:
Zhang FL; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58# Zhongshan Er Road, 510080, Guangzhou, Guangdong Province, People's Republic of China.
Li RC; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58# Zhongshan Er Road, 510080, Guangzhou, Guangdong Province, People's Republic of China.
Zhang XL; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58# Zhongshan Er Road, 510080, Guangzhou, Guangdong Province, People's Republic of China.
Zhang ZH; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58# Zhongshan Er Road, 510080, Guangzhou, Guangdong Province, People's Republic of China.
Ma L; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58# Zhongshan Er Road, 510080, Guangzhou, Guangdong Province, People's Republic of China. .
Ding L; Department of Radiology, The First Affiliated Hospital, Sun Yat-sen University, 58# Zhongshan Er Road, 510080, Guangzhou, Guangdong Province, People's Republic of China. .
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Źródło:
BMC cancer [BMC Cancer] 2021 Dec 02; Vol. 21 (1), pp. 1288. Date of Electronic Publication: 2021 Dec 02.
Typ publikacji:
Journal Article
MeSH Terms:
Algorithms*
Artifacts*
Knee Prosthesis*/adverse effects
Metals*
Bone Neoplasms/*diagnostic imaging
Image Processing, Computer-Assisted/*methods
Multidetector Computed Tomography/*methods
Adolescent ; Adult ; Child ; Female ; Femoral Neoplasms/diagnostic imaging ; Femur/diagnostic imaging ; Humans ; Male ; Middle Aged ; Neoplasm Recurrence, Local/diagnostic imaging ; Phantoms, Imaging ; Prosthesis Design ; Tibia/diagnostic imaging ; Young Adult
Czasopismo naukowe
Pełny tekst  Link otwiera się w nowym oknieSzczegóły
Tytuł:
Noise robustness of persistent homology on greyscale images, across filtrations and signatures.
Autorzy:
Turkeš R; Department of Computer Science, IDLab, University of Antwerp - imec, Antwerp, Belgium.
Nys J; Department of Computer Science, IDLab, University of Antwerp - imec, Antwerp, Belgium.
Verdonck T; Department of Mathematics, Applied Mathematics, University of Antwerp, Antwerp, Belgium.
Latré S; Department of Computer Science, IDLab, University of Antwerp - imec, Antwerp, Belgium.
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Źródło:
PloS one [PLoS One] 2021 Sep 24; Vol. 16 (9), pp. e0257215. Date of Electronic Publication: 2021 Sep 24 (Print Publication: 2021).
Typ publikacji:
Journal Article
MeSH Terms:
Artifacts*
Diagnostic Imaging/*instrumentation
Image Processing, Computer-Assisted/*methods
Algorithms ; Animals ; Humans ; Mathematics ; Models, Theoretical ; Normal Distribution ; Reproducibility of Results ; Sensitivity and Specificity
Czasopismo naukowe
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Tytuł:
Research on CT Lung Segmentation Method of Preschool Children based on Traditional Image Processing and ResUnet.
Autorzy:
Li Z; Department of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.; Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China.; National Clinical Research Center for Child Health, Hangzhou 310052, China.; Polytechnic Institute, Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, China.
Yang L; National Clinical Research Center for Child Health, Hangzhou 310052, China.; Department of Radiology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310052, China.
Shu L; Department of Neurology, The Warren Alpert Medical School of Brown University, USA.
Yu Z; Huiying Medical Technology (Beijing), Beijing 100192, China.
Huang J; Department of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.; Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China.; National Clinical Research Center for Child Health, Hangzhou 310052, China.
Li J; Department of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.; Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China.; National Clinical Research Center for Child Health, Hangzhou 310052, China.
Chen L; Department of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.; Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China.; National Clinical Research Center for Child Health, Hangzhou 310052, China.
Hu S; The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.
Shu T; National Institute of Hospital Administration, NHC, Beijing 100044, China.
Yu G; Department of Data and Information, The Children's Hospital Zhejiang University School of Medicine, Hangzhou 310052, China.; Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou 310052, China.; National Clinical Research Center for Child Health, Hangzhou 310052, China.; Polytechnic Institute, Zhejiang University, 866 Yuhangtang Rd, Hangzhou 310058, China.
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Źródło:
Computational and mathematical methods in medicine [Comput Math Methods Med] 2022 Oct 10; Vol. 2022, pp. 7321330. Date of Electronic Publication: 2022 Oct 10 (Print Publication: 2022).
Typ publikacji:
Journal Article; Review
MeSH Terms:
Image Processing, Computer-Assisted*/methods
Lung Diseases*/diagnostic imaging
Humans ; Artifacts ; Lung/diagnostic imaging ; Tomography, X-Ray Computed/methods ; Male ; Female ; Infant, Newborn ; Infant ; Child, Preschool ; Child
Czasopismo naukowe
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Wyświetlanie 1-20 z 248

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