Academic Content and Language Evaluation of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (11304)
All Articles published online
|
Featured Article
|
Publishing Process of This Article
|
Nov 28, 2014 (publication date) through Apr 28, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Radiology
ISSN
1949-8470
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Tohka J. Partial volume effect modeling for segmentation and tissue classification of brain magnetic resonance images: A review. World J Radiol 2014; 6(11): 855-864 [PMID: 25431640 DOI: 10.4329/wjr.v6.i11.855] |
|---|---|
| URL: | https://www.wjgnet.com/1949-8470/full/v6/i11/855.htm |
| Number | Citing Articles |
| 1 |
Pau Xiberta, Anton Bardera, Imma Boada, Marina Gispert, Albert Brun, Maria Font-i-Furnols. Evaluation of an automatic lean meat percentage quantification method based on a partial volume model from computed tomography scans. Computers and Electronics in Agriculture 2018; 151: 365 doi: 10.1016/j.compag.2018.06.019
|
| 2 |
Marcello Moccia, Nicola Valsecchi, Olga Ciccarelli, Ronald Van Schijndel, Frederik Barkhof, Ferran Prados. Spinal cord atrophy in a primary progressive multiple sclerosis trial: Improved sample size using GBSI. NeuroImage: Clinical 2020; 28: 102418 doi: 10.1016/j.nicl.2020.102418
|
| 3 |
Lyduine E. Collij, Gill Farrar, David Valléz García, Ilona Bader, Mahnaz Shekari, Luigi Lorenzini, Hugh Pemberton, Daniele Altomare, Sandra Pla, Mery Loor, Pawel Markiewicz, Maqsood Yaqub, Christopher Buckley, Giovanni B. Frisoni, Agneta Nordberg, Pierre Payoux, Andrew Stephens, Rossella Gismondi, Pieter Jelle Visser, Lisa Ford, Mark Schmidt, Cindy Birck, Jean Georges, Anja Mett, Zuzana Walker, Mercé Boada, Alexander Drzezga, Rik Vandenberghe, Bernard Hanseeuw, Frank Jessen, Michael Schöll, Craig Ritchie, Isadora Lopes Alves, Juan Domingo Gispert, Frederik Barkhof. The amyloid imaging for the prevention of Alzheimer's disease consortium: A European collaboration with global impact. Frontiers in Neurology 2023; 13 doi: 10.3389/fneur.2022.1063598
|
| 4 |
Soonchan Park, Joon Jang, Jang-Hoon Oh, Chang-Woo Ryu, Geon-Ho Jahng. Assessment of the Cerebrospinal Fluid Effect on the Chemical Exchange Saturation Transfer Map Obtained from the Full Z-Spectrum in the Elderly Human Brain. Progress in Medical Physics 2019; 30(4): 139 doi: 10.14316/pmp.2019.30.4.139
|
| 5 |
Buda Bajić. Sparsity promoting super-resolution coverage segmentation by linear unmixing in presence of blur and noise. Journal of Electronic Imaging 2019; 28(01): 1 doi: 10.1117/1.JEI.28.1.013046
|
| 6 |
Reshma Hiralal, Hema P Menon. Intelligent Systems Technologies and Applications 2016. Advances in Intelligent Systems and Computing 2016; 530: 245 doi: 10.1007/978-3-319-47952-1_19
|
| 7 |
Jessica L. Panman, Yang Yang To, Emma L. van der Ende, Jackie M. Poos, Lize C. Jiskoot, Lieke H. H. Meeter, Elise G. P. Dopper, Mark J. R. J. Bouts, Matthias J. P. van Osch, Serge A. R. B. Rombouts, John C. van Swieten, Jeroen van der Grond, Janne M. Papma, Anne Hafkemeijer. Bias Introduced by Multiple Head Coils in MRI Research: An 8 Channel and 32 Channel Coil Comparison. Frontiers in Neuroscience 2019; 13 doi: 10.3389/fnins.2019.00729
|
| 8 |
Sunli Tang, Carlos Fernandez-Granda, Sylvain Lannuzel, Brett Bernstein, Riccardo Lattanzi, Martijn Cloos, Florian Knoll, Jakob Assländer. Multicompartment magnetic resonance fingerprinting. Inverse Problems 2018; 34(9): 094005 doi: 10.1088/1361-6420/aad1c3
|
| 9 |
V. C. Obmann, N. Mertineit, C. Marx, A. Berzigotti, L. Ebner, J. T. Heverhagen, A. Christe, A. T. Huber. Liver MR relaxometry at 3T – segmental normal T1 and T2* values in patients without focal or diffuse liver disease and in patients with increased liver fat and elevated liver stiffness. Scientific Reports 2019; 9(1) doi: 10.1038/s41598-019-44377-y
|
| 10 |
Lana Vasung, Chenying Zhao, Matthew Barkovich, Caitlin K Rollins, Jennings Zhang, Claude Lepage, Teddy Corcoran, Clemente Velasco-Annis, Hyuk Jin Yun, Kiho Im, Simon Keith Warfield, Alan Charles Evans, Hao Huang, Ali Gholipour, Patricia Ellen Grant. Association between Quantitative MR Markers of Cortical Evolving Organization and Gene Expression during Human Prenatal Brain Development. Cerebral Cortex 2021; 31(8): 3610 doi: 10.1093/cercor/bhab035
|
| 11 |
Ali Hasan, Farid Meziane, Rob Aspin, Hamid Jalab. Segmentation of Brain Tumors in MRI Images Using Three-Dimensional Active Contour without Edge. Symmetry 2016; 8(11): 132 doi: 10.3390/sym8110132
|
| 12 |
Sebastian Johannes Müller, Eya Khadhraoui, Dirk Voit, Christian Heiner Riedel, Jens Frahm, Javier M. Romero, Marielle Ernst. Comparison of EPI DWI and STEAM DWI in Early Postoperative MRI Controls After Resection of Tumors of the Central Nervous System. Clinical Neuroradiology 2023; 33(3): 677 doi: 10.1007/s00062-023-01261-7
|
| 13 |
Hsin‐I Chang, Chi‐Wei Huang, Shih‐Wei Hsu, Shu‐Hua Huang, Kun‐Ju Lin, Tsung‐Ying Ho, Mi‐Chia Ma, Wen‐Chiu Hsiao, Chiung‐Chih Chang. Gray matter reserve determines glymphatic system function in young‐onset Alzheimer's disease: Evidenced by DTI‐ALPS and compared with age‐matched controls. Psychiatry and Clinical Neurosciences 2023; 77(7): 401 doi: 10.1111/pcn.13557
|
| 14 |
Peifang Guo. Brain tissue classification method for clinical decision-support systems. Engineering Applications of Artificial Intelligence 2017; 64: 232 doi: 10.1016/j.engappai.2017.05.015
|
| 15 |
Peifang Guo. Tracking the Development of Baby Brain Tissue with Color Vision in Magnetic Resonance Imaging. SN Computer Science 2022; 3(4) doi: 10.1007/s42979-022-01151-8
|
| 16 |
Farzad Mortazavi, Samantha E. Romano, Douglas L. Rosene, Kathleen S. Rockland. A Survey of White Matter Neurons at the Gyral Crowns and Sulcal Depths in the Rhesus Monkey. Frontiers in Neuroanatomy 2017; 11 doi: 10.3389/fnana.2017.00069
|
| 17 |
Martijn Nagtegaal, Peter Koken, Thomas Amthor, Mariya Doneva. Fast multi‐component analysis using a joint sparsity constraint for MR fingerprinting. Magnetic Resonance in Medicine 2020; 83(2): 521 doi: 10.1002/mrm.27947
|
| 18 |
Peifang Guo, Alan Evans, Prabir Bhattacharya. Nuclei Segmentation for Quantification of Brain Tumors in Digital Pathology Images. International Journal of Software Science and Computational Intelligence 2018; 10(2): 36 doi: 10.4018/IJSSCI.2018040103
|
| 19 |
Jessica P. Y. Hua, Nicole R. Karcher, Kelsey T. Straub, John G. Kerns. Associations between long-term psychosis risk, probabilistic category learning, and attenuated psychotic symptoms with cortical surface morphometry. Brain Imaging and Behavior 2022; 16(1): 91 doi: 10.1007/s11682-021-00479-8
|
| 20 |
Dayana Hayek, Friederike Thams, Agnes Flöel, Daria Antonenko. Dentate Gyrus Volume Mediates the Effect of Fornix Microstructure on Memory Formation in Older Adults. Frontiers in Aging Neuroscience 2020; 12 doi: 10.3389/fnagi.2020.00079
|
| 21 |
A.G. Beejesh, Varun P. Gopi, Jude Hemanth. Brain MR kurtosis imaging study: Contrasting gray and white matter. Cognitive Systems Research 2019; 55: 135 doi: 10.1016/j.cogsys.2019.01.005
|
| 22 |
Anu Venkatesh, Shauna M. Stark, Craig E.L. Stark, Ilana J. Bennett. Age- and memory- related differences in hippocampal gray matter integrity are better captured by NODDI compared to single-tensor diffusion imaging. Neurobiology of Aging 2020; 96: 12 doi: 10.1016/j.neurobiolaging.2020.08.004
|
| 23 |
Richa Gandhi, Charalampos Tsoumpas. Preclinical Imaging Biomarkers for Postischaemic Neurovascular Remodelling. Contrast Media & Molecular Imaging 2019; 2019: 1 doi: 10.1155/2019/3128529
|
| 24 |
Jannike Nickander, Magnus Lundin, Goran Abdula, Peder Sörensson, Stefania Rosmini, James C. Moon, Peter Kellman, Andreas Sigfridsson, Martin Ugander. Blood correction reduces variability and gender differences in native myocardial T1 values at 1.5 T cardiovascular magnetic resonance – a derivation/validation approach. Journal of Cardiovascular Magnetic Resonance 2016; 19(1): 41 doi: 10.1186/s12968-017-0353-7
|
| 25 |
Peifang Guo. Imaging for Patient-Customized Simulations and Systems for Point-of-Care Ultrasound. Lecture Notes in Computer Science 2017; 10549: 78 doi: 10.1007/978-3-319-67552-7_10
|
| 26 |
Hamid A. Jalab, Ali M. Hasan. Magnetic Resonance Imaging Segmentation Techniques of Brain Tumors: A Review. Archives of Neuroscience 2019; 6(Brain Mapping) doi: 10.5812/ans.84920
|
| 27 |
Debra F. McGivney, Rasim Boyacıoğlu, Yun Jiang, Megan E. Poorman, Nicole Seiberlich, Vikas Gulani, Kathryn E. Keenan, Mark A. Griswold, Dan Ma. Magnetic resonance fingerprinting review part 2: Technique and directions. Journal of Magnetic Resonance Imaging 2020; 51(4): 993 doi: 10.1002/jmri.26877
|
| 28 |
Jingjing Wang, Changjun Hu, Huaqiang Xu, Yan Leng, Liren Zhang, Yuefeng Zhao. A novel multi-atlas and multi-channel (MAMC) approach for multiple sclerosis lesion segmentation in brain MRI. Signal, Image and Video Processing 2019; 13(5): 1019 doi: 10.1007/s11760-019-01440-5
|
| 29 |
Julaluck Promsorn, Kulyada Eurboonyanun, Payia Chadbunchachai, Chaiwat Apivatanasiri, Kosin Wirasorn, Jarin Chindaprasirt, Aumkhae Sookprasert, Mukesh Harisinghani. Diffusion-weighted imaging as an imaging biomarker for assessing survival of patients with intrahepatic mass-forming cholangiocarcinoma. Abdominal Radiology 2022; 47(8): 2811 doi: 10.1007/s00261-022-03569-3
|
| 30 |
René Seiger, Fabian P. Hammerle, Godber M. Godbersen, Murray B. Reed, Benjamin Spurny-Dworak, Patricia Handschuh, Manfred Klöbl, Jakob Unterholzner, Gregor Gryglewski, Thomas Vanicek, Rupert Lanzenberger. Comparison and Reliability of Hippocampal Subfield Segmentations Within FreeSurfer Utilizing T1- and T2-Weighted Multispectral MRI Data. Frontiers in Neuroscience 2021; 15 doi: 10.3389/fnins.2021.666000
|
| 31 |
Roberto Duarte, Audrey Repetti, Pedro A Gómez, Mike Davies, Yves Wiaux. Greedy approximate projection for magnetic resonance fingerprinting with partial volumes. Inverse Problems 2020; 36(3): 035015 doi: 10.1088/1361-6420/ab356d
|
| 32 |
Peifang Guo. Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures. Lecture Notes in Computer Science 2019; 11840: 85 doi: 10.1007/978-3-030-32689-0_9
|
| 33 |
Mariana Mulinari Pinheiro Machado, Alina Voda, Gildas Besançon, Guillaume Becq, Olivier David. Frequency-domain identification of stereoelectroencephalographic transfer functions for brain tissue classification. IFAC-PapersOnLine 2021; 54(7): 565 doi: 10.1016/j.ifacol.2021.08.420
|
| 34 |
Eileanoir B. Johnson, Sarah Gregory, Hans J. Johnson, Alexandra Durr, Blair R. Leavitt, Raymund A. Roos, Geraint Rees, Sarah J. Tabrizi, Rachael I. Scahill. Recommendations for the Use of Automated Gray Matter Segmentation Tools: Evidence from Huntington’s Disease. Frontiers in Neurology 2017; 8 doi: 10.3389/fneur.2017.00519
|
| 35 |
Vladimir Kanchev, Roumen Kountchev. New Approaches in Intelligent Image Analysis. Intelligent Systems Reference Library 2016; 108: 183 doi: 10.1007/978-3-319-32192-9_6
|
| 36 |
Debra McGivney, Anagha Deshmane, Yun Jiang, Dan Ma, Chaitra Badve, Andrew Sloan, Vikas Gulani, Mark Griswold. Bayesian estimation of multicomponent relaxation parameters in magnetic resonance fingerprinting. Magnetic Resonance in Medicine 2018; 80(1): 159 doi: 10.1002/mrm.27017
|
| 37 |
Yasser Alemán‐Gómez, Elena Najdenovska, Timo Roine, Mário João Fartaria, Erick J. Canales‐Rodríguez, Zita Rovó, Patric Hagmann, Philippe Conus, Kim Q. Do, Paul Klauser, Pascal Steullet, Philipp S. Baumann, Meritxell Bach Cuadra. Partial‐volume modeling reveals reduced gray matter in specific thalamic nuclei early in the time course of psychosis and chronic schizophrenia. Human Brain Mapping 2020; 41(14): 4041 doi: 10.1002/hbm.25108
|
| 38 |
Peifang Guo. A tissue-based biomarker model for predicting disease patterns. Knowledge-Based Systems 2017; 131: 160 doi: 10.1016/j.knosys.2017.05.019
|
| 39 |
Manel Merabet Zennadi, Maurice Ptito, Jérôme Redouté, Nicolas Costes, Claire Boutet, Natacha Germain, Bogdan Galusca, Fabien C. Schneider. MRI atlas of the pituitary gland in young female adults. Brain Structure and Function 2024; 229(4): 1001 doi: 10.1007/s00429-024-02779-3
|
| 40 |
Carole Helene Sudre. Advanced Neuro MR Techniques and Applications. Advances in Magnetic Resonance Technology and Applications 2021; 4: 95 doi: 10.1016/B978-0-12-822479-3.00016-6
|
| 41 |
Suraj D. Serai, Jonathan Dudley, James L. Leach. Comparison of whole brain segmentation and volume estimation in children and young adults using SPM and SyMRI. Clinical Imaging 2019; 57: 77 doi: 10.1016/j.clinimag.2019.05.008
|
| 42 |
Mariana Mulinari Pinheiro Machado, Alina Voda, Gildas Besançon, Guillaume Becq, Philippe Kahane, Olivier David. Brain tissue classification from stereoelectroencephalographic recordings. Journal of Neuroscience Methods 2022; 365: 109375 doi: 10.1016/j.jneumeth.2021.109375
|
| 43 |
Diana Grishchuk, Alexis Dimitriadis, Arjun Sahgal, Antonio De Salles, Laura Fariselli, Rupesh Kotecha, Marc Levivier, Lijun Ma, Bruce E. Pollock, Jean Regis, Jason Sheehan, John Suh, Shoji Yomo, Ian Paddick. ISRS Technical Guidelines for Stereotactic Radiosurgery: Treatment of Small Brain Metastases (≤1 cm in Diameter). Practical Radiation Oncology 2023; 13(3): 183 doi: 10.1016/j.prro.2022.10.013
|
| 44 |
D. Yuvaraj, Salar Faisal Noori, Subbiah Swaminathan. WITHDRAWN: Multi-perspective scaling convolutional neural networks for high-resolution MRI brain image segmentation. Materials Today: Proceedings 2021; doi: 10.1016/j.matpr.2020.12.199
|
| 45 |
Xiaoliang Gong, Chao Ma, Panpan Yang, Yufei Chen, Chaolin Du, Caixia Fu, Jian-Ping Lu. Computer-aided pancreas segmentation based on 3D GRE Dixon MRI: a feasibility study. Acta Radiologica Open 2019; 8(3): 205846011983469 doi: 10.1177/2058460119834690
|
| 46 |
Juliane Dinse, Andreas Schäfer, Pierre-Louis Bazin, Nikolaus Weiskopf. Bildverarbeitung für die Medizin 2016. Informatik aktuell 2016; : 14 doi: 10.1007/978-3-662-49465-3_5
|
| 47 |
J. Neikter, S. Agerskov, P. Hellström, M. Tullberg, G. Starck, D. Ziegelitz, D. Farahmand. Ventricular Volume Is More Strongly Associated with Clinical Improvement Than the Evans Index after Shunting in Idiopathic Normal Pressure Hydrocephalus. American Journal of Neuroradiology 2020; 41(7): 1187 doi: 10.3174/ajnr.A6620
|
| 48 |
Keita Sakurai, Daita Kaneda, Satoru Morimoto, Yuto Uchida, Shohei Inui, Yasuyuki Kimura, Chang Cai, Takashi Kato, Kengo Ito, Yoshio Hashizume. Diverse limbic comorbidities cause limbic and temporal atrophy in lewy body disease. Parkinsonism & Related Disorders 2022; 105: 52 doi: 10.1016/j.parkreldis.2022.11.001
|
| 49 |
John Au, Diana M. Perriman, Mark R. Pickering, Graham Buirski, Paul N. Smith, Alexandra L. Webb. Magnetic resonance imaging atlas of the cervical spine musculature. Clinical Anatomy 2016; 29(5): 643 doi: 10.1002/ca.22731
|
| 50 |
Barış Genç, Kerim Aslan, Uğur Avcı, Lütfi İncesu, Hediye Pınar Günbey. Opposing effects of thyroid hormones on hypothalamic subunits and limbic structures in hyperthyroidism patients: A comprehensive volumetric study. Journal of Neuroendocrinology 2024; 36(3) doi: 10.1111/jne.13369
|
| 51 |
Ford Burles, Rebecca Williams, Lila Berger, G. Bruce Pike, Catherine Lebel, Giuseppe Iaria. The Unresolved Methodological Challenge of Detecting Neuroplastic Changes in Astronauts. Life 2023; 13(2): 500 doi: 10.3390/life13020500
|
| 52 |
Filip Rusak, Rodrigo Santa Cruz, Léo Lebrat, Ondrej Hlinka, Jurgen Fripp, Elliot Smith, Clinton Fookes, Andrew P. Bradley, Pierrick Bourgeat. Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods. Medical Image Analysis 2022; 82: 102576 doi: 10.1016/j.media.2022.102576
|
| 53 |
Peifang Guo, Prabir Bhattacharya. A novel brain image processing method for the application of detecting the GBM disease patterns in anatomic sections of T1-weighted 3D magnetic resonance imaging. 2017 IEEE 16th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC) 2017; : 146 doi: 10.1109/ICCI-CC.2017.8109743
|
| 54 |
Peifang Guo, Prabir Bhattacharya. An Innovative Model for Detecting Brain Tumors and Glioblastoma Multiforme Disease Patterns. International Journal of Software Science and Computational Intelligence 2017; 9(4): 34 doi: 10.4018/IJSSCI.2017100103
|
| 55 |
Young Beom Kim, The Van Le, Jin Young Lee. Lightweight brain MR image super-resolution using 3D convolution. Multimedia Tools and Applications 2024; 83(3): 8785 doi: 10.1007/s11042-023-15969-8
|