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Статті в журналах з теми "Brain Magnetic resonance imaging Statistical methods"
Woo, D.-C., C.-B. Choi, J.-W. Nam, K.-N. Ryu, G.-H. Jahng, S.-H. Lee, D.-W. Lee, et al. "Quantitative analysis of hydrocephalic ventricular alterations in Yorkshire terriers using magnetic resonance imaging." Veterinární Medicína 55, No. 3 (April 15, 2010): 125–32. http://dx.doi.org/10.17221/127/2009-vetmed.
Повний текст джерелаBhalodiya, Jayendra M., Sarah N. Lim Choi Keung, and Theodoros N. Arvanitis. "Magnetic resonance image-based brain tumour segmentation methods: A systematic review." DIGITAL HEALTH 8 (January 2022): 205520762210741. http://dx.doi.org/10.1177/20552076221074122.
Повний текст джерелаSmitha, KA, K. Akhil Raja, KM Arun, PG Rajesh, Bejoy Thomas, TR Kapilamoorthy, and Chandrasekharan Kesavadas. "Resting state fMRI: A review on methods in resting state connectivity analysis and resting state networks." Neuroradiology Journal 30, no. 4 (March 29, 2017): 305–17. http://dx.doi.org/10.1177/1971400917697342.
Повний текст джерелаPrzyborowska, P., Z. Adamiak, P. Holak, Y. Zhalniarovich, and WS Maksymowicz. "Diagnosis of cerebral ventriculomegaly in felines using 0.25 Tesla and 3 Tesla magnetic resonance imaging." Veterinární Medicína 63, No. 1 (January 22, 2018): 28–35. http://dx.doi.org/10.17221/59/2017-vetmed.
Повний текст джерелаMeziane, Abdelfettah, Saïd MAHMOUDI, and Mohammed Amine CHIKH. "Brain Structures Segmentation by using Statistical Models." Medical Technologies Journal 1, no. 3 (September 28, 2017): 59. http://dx.doi.org/10.26415/2572-004x-vol1iss3p59-59.
Повний текст джерелаJohnson, L. Clark, Todd L. Richards, Kristen H. Archbold, and Carol A. Landis. "Functional Magnetic Resonance Imaging in Nursing Research." Biological Research For Nursing 8, no. 1 (July 2006): 43–54. http://dx.doi.org/10.1177/1099800406289341.
Повний текст джерелаChen, Shengyong, and Xiaoli Li. "Functional Magnetic Resonance Imaging for Imaging Neural Activity in the Human Brain: The Annual Progress." Computational and Mathematical Methods in Medicine 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/613465.
Повний текст джерелаSamadi Ghoushchi, Hamed, and Yaghoub Pourasad. "Clustering of Brain Tumors in Brain MRI Images based on Extraction of Textural and Statistical Features." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 12 (October 19, 2020): 116. http://dx.doi.org/10.3991/ijoe.v16i12.16929.
Повний текст джерелаKonar, Amaresha Shridhar, Akash Deelip Shah, Ramesh Paudyal, Maggie Fung, Suchandrima Banerjee, Abhay Dave, Vaios Hatzoglou, and Amita Shukla-Dave. "Quantitative Synthetic Magnetic Resonance Imaging for Brain Metastases: A Feasibility Study." Cancers 14, no. 11 (May 27, 2022): 2651. http://dx.doi.org/10.3390/cancers14112651.
Повний текст джерелаChu, Wen-Lin, Min-Wei Huang, Bo-Lin Jian, and Kuo-Sheng Cheng. "Brain Structural Magnetic Resonance Imaging for Joint Independent Component Analysis in Schizophrenic Patients." Current Medical Imaging Formerly Current Medical Imaging Reviews 15, no. 5 (June 19, 2019): 471–78. http://dx.doi.org/10.2174/1573405613666171122163759.
Повний текст джерелаДисертації з теми "Brain Magnetic resonance imaging Statistical methods"
Ash, Thomas William John. "Use of statistical classifiers in the analysis of fMRI data." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609710.
Повний текст джерелаRoura, Pérez Eloy. "Automated methods on magnetic resonance brain imaging in multiple sclerosis." Doctoral thesis, Universitat de Girona, 2016. http://hdl.handle.net/10803/394030.
Повний текст джерелаEn aquesta tesi ens centrem, per una part, en el pre-processat de la imatge per tal d'eliminar el soroll i corregir les inhomogeneïtats en les intensitats, ambdós errors introduïts per l'escàner. A més hem contribuït també amb una nova tècnica basada en un algoritme de “región growing” per tal de segmentar el cervell de dins de tota la imatge del cap. Incloem com a pre-processat el registre d'imatges, on hem proposat una “pipeline" mitjançant la informació de múltiples modalitats per tal de millorar els resultats d'aquest procés. Per altra banda, hem estudiat també les tècniques actuals de detecció i segmentació de lesions en la matèria blanca, proposant un mètode nou basat en anteriors propostes. Així doncs, presentem una eina automàtica capaç de detectar i segmentar lesions en la matèria blanca de pacients d'Esclerosi Múltiple i Lupus.
Streitbürger, Daniel-Paolo. "Investigating Brain Structure Using Voxel-Based Methods with Magnetic Resonance Imaging." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-132638.
Повний текст джерелаGrieve, Stuart Michael. "Development of fast magnetic resonance imaging methods for investigation of the brain." Thesis, University of Oxford, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365824.
Повний текст джерелаWoo, Bo-kei, and 胡寶琦. "A new hierarchical Bayesian approach to low-field magnetic resonance imaging." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2001. http://hub.hku.hk/bib/B31226917.
Повний текст джерелаBuchanan, Colin Richard. "Structural brain networks from diffusion MRI : methods and application." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/14183.
Повний текст джерелаStelzer, Johannes. "Nonparametric statistical inference for functional brain information mapping." Doctoral thesis, Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-143884.
Повний текст джерелаMyllylä, T. (Teemu). "Multimodal biomedical measurement methods to study brain functions simultaneously with functional magnetic resonance imaging." Doctoral thesis, Oulun yliopisto, 2014. http://urn.fi/urn:isbn:9789526205076.
Повний текст джерелаTiivistelmä Multimodaalisia kuvantamismenetelmiä käytetään enenevässä määrin ihmisen fysiologian ja elintoimintojen tutkimisessa. Erityisesti aivotutkimuksessa samanaikaisesti useammalla modaliteetilla mittaaminen mahdollistaa erilaisten fysiologisten mekanismien ja niiden korrelaatioiden tutkimisen kehon ja aivotoimintojen välillä. Lisäksi multimodaaliset mittaukset auttavat yksilöimään fysiologiset komponentit toisistaan ja identifioimaan aivojen tuottamia fysiologisia signaaleja. Tämä väitöskirja kokoaa tutkimustyön sekä laite- ja instrumentointisuunnittelun ja sen kehittämistyön ei-invasiivisesti toteutettujen lääketieteen mittausmenetelmien käyttämiseksi magneettikuvauksen aikana. Erityishaasteena työssä on ollut magneettikuvausympäristö, joka asettaa erityisvaatimuksia mm. mittalaitteissa käytettäville materiaaleille sekä laitteiden häiriönsiedolle magneettikuvauslaitteen aiheuttaman voimakkaan magneettikentän takia. Kehitettävät mittausmenetelmät eivät myöskään saa aiheuttaa häiriöitä magneettikuvauslaitteen tuottamalle kuvainformaatiolle. Väitöskirjassa esitettävät mittausmenetelmät tekevät mahdolliseksi mitata magneettikuvausympäristössä ihmisen sydämen sykettä, veren virtauksen kulkunopeutta ja verenpaineen vaihteluja sekä aivokuoren metaboliaa - kaikki synkronissa aivosähkökäyrän mittaamisen ja magneettikuvantamisen kanssa. Lisäksi väitöskirjassa tutkitaan kehitettyjen mittausmenetelmien antamaa mittaustarkkuutta sekä arvioidaan lähi-infrapunavalon etenemistä ihmisen aivoissa uudenlaisella menetelmällä. Kehitetyllä multimodaalisella mittausympäristöllä on tavoitteena antaa lääketieteen alan tutkijoille, erityisesti neurologeille, käyttöön mittausmenetelmiä, joiden avulla voidaan tutkia ihmisen aivojen ja kehon välisiä toimintoja aiempaa kattavammin. Laitekokonaisuudella on tutkittu jo yli 70:tä henkilöä. Näissä mittauksissa on tutkittu mm. veren happitasojen hitaita vaihteluja ihmisen aivojen ollessa lepotilassa, ns. resting state -tilassa
Clayden, Jonathan D. "Comparative analysis of connection and disconnection in the human brain using diffusion MRI : new methods and applications." Thesis, University of Edinburgh, 2008. http://hdl.handle.net/1842/2383.
Повний текст джерелаTaljan, Kyle Andrew Ignatius. "Investigations of Anatomical Connectivity in the Internal Capsule of Macaques with Diffusion Magnetic Resonance Imaging." Cleveland State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=csu1311093061.
Повний текст джерелаКниги з теми "Brain Magnetic resonance imaging Statistical methods"
Poldrack, Russell A. Handbook of functional MRI data analysis. Cambridge: Cambridge University Press, 2011.
Знайти повний текст джерелаThe statistical analysis of functional MRI data. New York: Springer, 2008.
Знайти повний текст джерелаFaro, Scott H. BOLD fMRI: A guide to functional imaging for neuroscientists. New York: Springer, 2010.
Знайти повний текст джерелаBOLD fMRI: A guide to functional imaging for neuroscientists. New York: Springer, 2010.
Знайти повний текст джерела1971-, Song Allen W., and McCarthy Gregory 1952-, eds. Functional magnetic resonance imaging. 2nd ed. Sunderland, Mass: Sinauer Associates, 2009.
Знайти повний текст джерелаMagnetic resonance neuroimaging: Methods and protocols. New York: Humana Press, 2011.
Знайти повний текст джерелаMagnetic resonance imaging of the brain. Philadelphia: Lippincott, 1994.
Знайти повний текст джерелаLuna, A. Diffusion MRI outside the brain: A case-based review and clinical applications. Berlin: Springer, 2012.
Знайти повний текст джерелаBrain imaging: An introduction. London: Wright, 1989.
Знайти повний текст джерелаW, Toga Arthur, and Mazziotta John C, eds. Brain mapping: The methods. 2nd ed. Amsterdam: Academic Press, 2002.
Знайти повний текст джерелаЧастини книг з теми "Brain Magnetic resonance imaging Statistical methods"
Soufi, Ghazaleh Jamalipour, Nastaran Fallahpour, Kaveh Jamalipour Soufi, and Siavash Iravani. "Magnetic Resonance Spectroscopic Analysis in Brain Tumors." In Medical Imaging Methods, 43–58. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-9121-7_2.
Повний текст джерелаDela Haije, Tom, and Aasa Feragen. "Conceptual Parallels Between Stochastic Geometry and Diffusion-Weighted MRI." In Mathematics and Visualization, 193–202. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-56215-1_9.
Повний текст джерелаShen, Qiang, Lora Tally Watts, Wei Li, and Timothy Q. Duong. "Magnetic Resonance Imaging in Experimental Traumatic Brain Injury." In Methods in Molecular Biology, 645–58. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-3816-2_35.
Повний текст джерелаWang, Shui-Hua, Yu-Dong Zhang, Zhengchao Dong, and Preetha Phillips. "Canonical Feature Extraction Methods for Structural Magnetic Resonance Imaging." In Pathological Brain Detection, 45–70. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-4026-9_4.
Повний текст джерелаMelhem, Elias R., and Riyadh N. Alokaili. "Intra-axial Brain Tumors: Diagnostic Magnetic Resonance Imaging." In Methods of Cancer Diagnosis, Therapy, and Prognosis, 263–78. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8665-5_21.
Повний текст джерелаBulakbasi, Nail, and Murat Kocaoglu. "Metastatic Solitary Malignant Brain Tumor: Magnetic Resonance Imaging." In Methods of Cancer Diagnosis, Therapy, and Prognosis, 305–23. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8665-5_24.
Повний текст джерелаYamasaki, Fumiyuki, Kazuhiko Sugiyama, and Kaoru Kurisu. "Brain Tumors: Apparent Diffusion Coefficient at Magnetic Resonance Imaging." In Methods of Cancer Diagnosis, Therapy, and Prognosis, 279–96. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8665-5_22.
Повний текст джерелаAggarwal, Manisha, Jiangyang Zhang, and Susumu Mori. "Magnetic Resonance Imaging-Based Mouse Brain Atlas and Its Applications." In Methods in Molecular Biology, 251–70. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-61737-992-5_12.
Повний текст джерелаMcAteer, Martina A., Constantin von Zur Muhlen, Daniel C. Anthony, Nicola R. Sibson, and Robin P. Choudhury. "Magnetic Resonance Imaging of Brain Inflammation Using Microparticles of Iron Oxide." In Methods in Molecular Biology, 103–15. Totowa, NJ: Humana Press, 2010. http://dx.doi.org/10.1007/978-1-60761-901-7_7.
Повний текст джерелаHunt, Matthew A., and Edward A. Neuwelt. "Magnetic Resonance Imaging of Brain Tumors Using Iron Oxide Nanoparticles." In Methods of Cancer Diagnosis, Therapy, and Prognosis, 297–304. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-8665-5_23.
Повний текст джерелаТези доповідей конференцій з теми "Brain Magnetic resonance imaging Statistical methods"
Lei, Zhen, Qinghai Wang, Weifeng Wang, and Deven Hu. "A New Statistical Method for Detecting Significant Activation in Functional Magnetic Resonance Brain Imaging." In 2009 WRI World Congress on Computer Science and Information Engineering. IEEE, 2009. http://dx.doi.org/10.1109/csie.2009.578.
Повний текст джерелаChen, Bin, John Moreland, and Jingyu Zhang. "Human Brain Functional MRI and DTI Visualization With Virtual Reality." In ASME 2011 World Conference on Innovative Virtual Reality. ASMEDC, 2011. http://dx.doi.org/10.1115/winvr2011-5565.
Повний текст джерелаSacho, Isabella Batistela Inhesta, João Vitor Gerdulli Tamanini, Brunno Machado Campos, Danilo Santos Silva, Ana Carolina Coan, and Wagner Mauad Avelar. "Brain functional network alterations in patients with asymptomatic carotid disease." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.449.
Повний текст джерелаKornev, Denis, Roozbeh Sadeghian, Stanley Nwoji, Qinghua He, Amir Gandjbbakhche, and Siamak Aram. "Machine Learning-Based Gaming Behavior Prediction Platform." In 13th International Conference on Applied Human Factors and Ergonomics (AHFE 2022). AHFE International, 2022. http://dx.doi.org/10.54941/ahfe1001826.
Повний текст джерелаBrinkmann, Benjamin H., Armando Manduca, and Richard A. Robb. "Quantitative analysis of statistical methods of grayscale inhomogeneity correction in magnetic resonance images." In Medical Imaging 1996, edited by Murray H. Loew and Kenneth M. Hanson. SPIE, 1996. http://dx.doi.org/10.1117/12.237957.
Повний текст джерелаJondhale, Utkarsha I., and Rachna s. Potpelwar. "Multispectral brain Magnetic Resonance Imaging denoising using non-local means with statistical nearest neighbor." In 2019 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2019. http://dx.doi.org/10.1109/icces45898.2019.9002219.
Повний текст джерелаPerkins, James B., Ian R. Greenshields, Francis DiMario, and Gale Ramsby. "Unsupervised classification of multiecho magnetic resonance images of the pediatric brain with implicit spatial and statistical hypotheses validation." In Medical Imaging 1993, edited by Murray H. Loew. SPIE, 1993. http://dx.doi.org/10.1117/12.154523.
Повний текст джерелаAndrioli, Carlos José, and Carlos Eduardo Thomaz. "Discriminant analysis of background noise in extremity magnetic resonance images." In Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2021. http://dx.doi.org/10.5753/wvc.2021.18891.
Повний текст джерелаViviers, D., E. E. W. Van Houten, M. D. J. McGarry, J. B. Weaver, and K. D. Paulsen. "Initial In-Vivo Results Considering Rayleigh Damping in Magnetic Resonance Elastography." In ASME 2009 International Mechanical Engineering Congress and Exposition. ASMEDC, 2009. http://dx.doi.org/10.1115/imece2009-12709.
Повний текст джерелаEasley, Deanna C., Prahlad G. Menon, Pamela A. Moalli, and Steven D. Abramowitch. "Inter-Observer Variability of Vaginal Wall Segmentation From MRI: A Statistical Shape Analysis Approach." In ASME 2015 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/imece2015-53499.
Повний текст джерелаЗвіти організацій з теми "Brain Magnetic resonance imaging Statistical methods"
Rosen, Matthew. New Methods of Low-Field Magnetic Resonance Imaging for Application to Traumatic Brain Injury. Fort Belvoir, VA: Defense Technical Information Center, February 2012. http://dx.doi.org/10.21236/ada568601.
Повний текст джерелаRosen, Matthew S. New Methods of Low-Field Magnetic Resonance Imaging for Application to Traumatic Brain Injury. Fort Belvoir, VA: Defense Technical Information Center, February 2013. http://dx.doi.org/10.21236/ada585828.
Повний текст джерела