Auswahl der wissenschaftlichen Literatur zum Thema „Transcranial simulations“
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Zeitschriftenartikel zum Thema "Transcranial simulations"
Antal, Andrea, und Christoph S. Herrmann. „Transcranial Alternating Current and Random Noise Stimulation: Possible Mechanisms“. Neural Plasticity 2016 (2016): 1–12. http://dx.doi.org/10.1155/2016/3616807.
Der volle Inhalt der QuelleVyas, Urvi, Elena Kaye und Kim Butts Pauly. „Transcranial phase aberration correction using beam simulations and MR-ARFI“. Medical Physics 41, Nr. 3 (26.02.2014): 032901. http://dx.doi.org/10.1118/1.4865778.
Der volle Inhalt der QuelleSigona, Michelle K., Thomas J. Manuel, Huiwen Luo, Marshal A. Phipps, Pai-Feng Yang, Kianoush Banaie Boroujeni, Robert L. Treuting et al. „Generating patient-specific acoustic simulations for transcranial focused ultrasound procedures based on optical tracking information“. Journal of the Acoustical Society of America 152, Nr. 4 (Oktober 2022): A155. http://dx.doi.org/10.1121/10.0015868.
Der volle Inhalt der QuelleAngla, Célestine, Benoit Larrat, Jean-Luc Gennisson und Sylvain Chatillon. „Improved skull bone acoustic property homogenization for fast transcranial ultrasound simulations“. Journal of Physics: Conference Series 2768, Nr. 1 (01.05.2024): 012006. http://dx.doi.org/10.1088/1742-6596/2768/1/012006.
Der volle Inhalt der QuelleDougherty, Edward T., James C. Turner und Frank Vogel. „Multiscale Coupling of Transcranial Direct Current Stimulation to Neuron Electrodynamics: Modeling the Influence of the Transcranial Electric Field on Neuronal Depolarization“. Computational and Mathematical Methods in Medicine 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/360179.
Der volle Inhalt der QuelleAmanatiadis, Stamatis A., Georgios K. Apostolidis, Chrysanthi S. Bekiari und Nikolaos V. Kantartzis. „Transcranial ultrasonic propagation and enhanced brain imaging exploiting the focusing effect of the skull“. COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, Nr. 3 (05.06.2020): 671–82. http://dx.doi.org/10.1108/compel-10-2019-0387.
Der volle Inhalt der QuellePalatnik de Sousa, Iam, Carlos R. H. Barbosa und Elisabeth Costa Monteiro. „Safe exposure distances for transcranial magnetic stimulation based on computer simulations“. PeerJ 6 (18.06.2018): e5034. http://dx.doi.org/10.7717/peerj.5034.
Der volle Inhalt der QuelleZangemeister, Wolfgang H., und Volker Hoemberg. „Eye model simulations of saccadic impairment through transcranial magnetic stimulation (TMS“. Neuro-Ophthalmology 13, Nr. 2 (Januar 1993): 89–97. http://dx.doi.org/10.3109/01658109309037010.
Der volle Inhalt der QuellePasquinelli, Cristina, Hazael Montanaro, Hyunjoo J. Lee, Lars G. Hanson, Hyungkook Kim, Niels Kuster, Hartwig R. Siebner, Esra Neufeld und Axel Thielscher. „Transducer modeling for accurate acoustic simulations of transcranial focused ultrasound stimulation“. Journal of Neural Engineering 17, Nr. 4 (13.07.2020): 046010. http://dx.doi.org/10.1088/1741-2552/ab98dc.
Der volle Inhalt der QuelleDrainville, Robert Andrew, Sylvain Chatillon, David Moore, John Snell, Frederic Padilla und Cyril Lafon. „A simulation study on the sensitivity of transcranial ray-tracing ultrasound modeling to skull properties“. Journal of the Acoustical Society of America 154, Nr. 2 (01.08.2023): 1211–25. http://dx.doi.org/10.1121/10.0020761.
Der volle Inhalt der QuelleDissertationen zum Thema "Transcranial simulations"
Angla, Célestine. „Fast transcranial acoustic simulations for personalized dosimetry in ultrasound brain therapy“. Electronic Thesis or Diss., université Paris-Saclay, 2023. http://www.theses.fr/2023UPAST207.
Der volle Inhalt der QuelleUltrasound brain therapy is a promising method, as it is non-invasive when ultrasonic waves are sent through the skull. However, the skull bone complex structure strongly attenuates and aberrates the ultrasound beam, altering the dimensions, position and intensity of the focal spot. These focal parameters must be perfectly controlled to ensure both treatment efficacy and safety. Due to the high inter/intra-individual variability of skull geometry and acoustic properties, personalized simulations are required to predict focal characteristics depending on the patient skull and the ultrasonic probe position. Most simulation methods currently in use, such as k-Wave, are very time- and memory-intensive, limiting them to pre-intervention planning tools. The aim of this thesis was to develop a fast and realistic semi-analytical method for ultrasound field computation through the skull. As a first step, we developed a smooth and homogeneous model of the skull, realistic and suited to fast field computation algorithms. To this end, we modeled the skull inner and outer surfaces using a method called "Multi-level Bspline Approximation", and we developed a skull acoustic property homogenization method, which was numerically validated. This smooth and homogeneous skull model was then used as input to the field computation algorithm developed. This algorithm, named SplineBeam, is based on an ultrasonic path computation method that minimizes the time-of-flight function, which is fast and accurate, and which, combined with the pencil method, enables a regular sampling of the ultrasound probe. SplineBeam was validated numerically, by comparison with the pencil method, embedded in the CIVA HealthCare simulation platform, developed at the CEA, and with other numerical solvers (including k-Wave) on a series of configurations, and experimentally, by comparison with hydrophone measured pressure fields through an ex vivo skull sample. SplineBeam simulated fields were found to be closer to the experimentally measured ones than those simulated with k-Wave. This validates both the skull model and the field computation method. Furthermore, SplineBeam can restrict its computation to the focal spot, which allows it to drastically reduce the number of computation points, making it faster than k-Wave by two orders of magnitude, for a large probe
Syeda, Farheen. „Development of Novel Models to Study Deep Brain Effects of Cortical Transcranial Magnetic Stimulation“. VCU Scholars Compass, 2018. https://scholarscompass.vcu.edu/etd/5517.
Der volle Inhalt der QuelleRobertson, James. „Accurate simulation of low-intensity transcranial ultrasound propagation for neurostimulation“. Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/1574816/.
Der volle Inhalt der QuelleWagner, Timothy A. (Timothy Andrew) 1974. „Field distributions within the human cortex induced by transcranial magnetic simulation“. Thesis, Massachusetts Institute of Technology, 2001. http://hdl.handle.net/1721.1/86789.
Der volle Inhalt der QuelleIncludes bibliographical references (leaves 120-125).
by Timothy A. Wagner.
S.M.
Connor, Christopher W. „Simulation methods and tissue property models for non-invasive transcranial focused ultrasound surgery“. Thesis, Massachusetts Institute of Technology, 2005. http://hdl.handle.net/1721.1/33070.
Der volle Inhalt der QuelleIncludes bibliographical references.
Many brain tumors are localized deeply and are currently surgically inaccessible without causing severe damage to the overlying structures of the brain. The current spectrum of non-invasive methods for treating such tumors includes radiotherapy, which requires exposure to ionizing radiation, and chemotherapy, which is systemically toxic. However, these tumors may also potentially be attacked by focusing highly intense ultrasound onto them. Focused ultrasound surgery is without the side effects of radiotherapy and chemotherapy, and the therapeutic effect of ultrasound therapy can be monitored in real- time using the proton chemical shift MRI technique. However, in order for brain tumors to be treated non-invasively, the ultrasound must be focused onto the targeted brain tissue through the intact cranium. Transcranial focusing of ultrasound is a longstanding and difficult problem as skull is a highly heterogeneous material. As the ultrasound field propagates through the bones of the skull, it undergoes substantatial distortion due to the variations in density and speed of sound therein. There is substantial individual variation in skull size, thickness and composition. Furthermore, the acoustic attenuation coefficient in bone is high, so the skull may also be heated by the ultrasound propagating through it. This thesis contains novel simulation techniques for analyzing transcranial acoustic propagation and for analyzing the temperature changes so produced in the brain, skull and scalp. These techniques have also been applied to modeling non-invasive treatment of the liver, and to producing therapeutic ultrasound fields that harness non-linear acoustic effects advantageously.
(cont.) The thesis also contains unified models for the speed of sound and the acoustic attenuation coeffiecient in human skull. These models were generated by combining genetic optimization algorithms, acoustic propagation modeling and empirical measurement of intracranial ultrasound fields; they are valid across the full range of trabecular and cortical cranial bone.
by Christopher W. Connor.
Ph.D.
Kuppuswamy, Annapoorna. „Cortical plasticity and functional change in human spinal cord injury investigated using repetitive transcranial magnetic simulation“. Thesis, Imperial College London, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.502919.
Der volle Inhalt der QuelleHurdal, Monica Kimberly. „Mathematical and computer modelling of the human brain with reference to cortical magnification and dipole source localisation in the visual cortx“. Thesis, Queensland University of Technology, 1998.
Den vollen Inhalt der Quelle findenSchabrun, Siobhan M. „Experimentally induced cortical plasticity: neurophysiological and functional correlates in health and disease“. 2010. http://hdl.handle.net/2440/56534.
Der volle Inhalt der QuelleThesis (Ph.D.) -- University of Adelaide, School of Molecular and Biomedical Science, 2010
Royal, Isabelle. „Simulation de l'amusie dans le cerveau normal“. Thèse, 2017. http://hdl.handle.net/1866/20624.
Der volle Inhalt der QuelleCazzato, Valentina, S. Mele und C. Urgesi. „Gender differences in the neural underpinning of perceiving and appreciating the beauty of the body“. 2014. http://hdl.handle.net/10454/9856.
Der volle Inhalt der QuelleBuchteile zum Thema "Transcranial simulations"
Zaidi, Tayeb, und Kyoko Fujimoto. „Evaluation and Comparison of Simulated Electric Field Differences Using Three Image Segmentation Methods for TMS“. In Brain and Human Body Modelling 2021, 75–87. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-15451-5_5.
Der volle Inhalt der QuelleAntonietti, Alberto, Claudia Casellato, Egidio D’Angelo und Alessandra Pedrocchi. „Computational Modelling of Cerebellar Magnetic Stimulation: The Effect of Washout“. In Lecture Notes in Computer Science, 35–46. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-82427-3_3.
Der volle Inhalt der QuelleCurta, C., S. Crisan und R. V. Ciupa. „3D Simulation Analysis of Transcranial Magnetic Stimulation“. In IFMBE Proceedings, 316–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22586-4_66.
Der volle Inhalt der QuelleHallaj, Ibrahim M., Robin O. Cleveland, Steven G. Kargl und Ronald A. Roy. „Fdtd Simulation of Transcranial Focusing Using Ultrasonic Phase-Conjugate Arrays“. In Acoustical Imaging, 61–66. Boston, MA: Springer US, 1997. http://dx.doi.org/10.1007/978-1-4419-8588-0_10.
Der volle Inhalt der QuelleHart, Robin, Philip D. Hart und Stuart Bunt. „A Novel Technique for Simulating Transcranial Doppler Examinations In Vitro“. In Medical Image Computing and Computer-Assisted Intervention – MICCAI’99, 1226–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/10704282_133.
Der volle Inhalt der QuelleLu, M., und S. Ueno. „Numerical Simulation of Deep Transcranial Magnetic Stimulation by Multiple Circular Coils“. In IFMBE Proceedings, 1663–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00846-2_410.
Der volle Inhalt der QuelleWartman, William A. „Preprocessing General Head Models for BEM-FMM Modeling Pertinent to Brain Stimulation“. In Brain and Human Body Modeling 2020, 325–43. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45623-8_20.
Der volle Inhalt der QuelleStrommen, Jeffrey A., und Andrea J. Boon. „Motor Evoked Potentials“. In Clinical Neurophysiology, 592–605. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190259631.003.0033.
Der volle Inhalt der QuelleKonferenzberichte zum Thema "Transcranial simulations"
Vyas, Urvi, Elena Kaye und Kim Butts Pauly. „Transcranial phase aberration correction using beam simulations and MR-ARFI“. In 12TH INTERNATIONAL SYMPOSIUM ON THERAPEUTIC ULTRASOUND. AIP, 2012. http://dx.doi.org/10.1063/1.4769941.
Der volle Inhalt der QuelleDing, Zhaohuan, Yang Bai, Hao Zhang und Xiaoli Li. „Numerical simulations of figure-8 coil during transcranial magnetic stimulation“. In 2017 Chinese Automation Congress (CAC). IEEE, 2017. http://dx.doi.org/10.1109/cac.2017.8243136.
Der volle Inhalt der QuelleAngla, Célestine, Hamza Chouh, Paul Mondou, Gwenael Toullelan, Kévyn Perlin, Emmanuel De Schlichting, Jean-Luc Gennisson, Benoit Larrat und Sylvain Chatillon. „Fast transcranial ultrasound simulations based on time-of-flight minimization“. In 2023 IEEE International Ultrasonics Symposium (IUS). IEEE, 2023. http://dx.doi.org/10.1109/ius51837.2023.10307147.
Der volle Inhalt der QuelleXu, Guanjie, Gaomin Su, Hao Fang und Yue Li. „Enabling Transcranial Electrical Stimulation via STI01: Experimental Simulations and Hardware Circuit Implementation“. In 2023 5th International Conference on Electronic Engineering and Informatics (EEI). IEEE, 2023. http://dx.doi.org/10.1109/eei59236.2023.10212634.
Der volle Inhalt der QuelleGao, Ya, Beatrice Lauber, Beat Werner, Giovanni Colacicco, Daniel Razansky, Qian Cheng und Héctor Estrada. „Performance of learned pseudo-CT in transcranial ultrasound simulations using fluid and solid skulls“. In 2023 IEEE International Ultrasonics Symposium (IUS). IEEE, 2023. http://dx.doi.org/10.1109/ius51837.2023.10306343.
Der volle Inhalt der QuelleJones, Ryan, Meaghan O'Reilly und Kullervo Hynynen. „Simulations of transcranial passive acoustic mapping with hemispherical sparse arrays using computed tomography-based aberration corrections“. In ICA 2013 Montreal. ASA, 2013. http://dx.doi.org/10.1121/1.4800018.
Der volle Inhalt der QuelleRAVNIK, JURE, ANNA ŠUŠNJARA, OŽBEJ VERHNJAK, DRAGAN POLJAK und MARIO CVETKOVIĆ. „COUPLED BOUNDARY ELEMENT: STOCHASTIC COLLOCATION APPROACH FOR THE UNCERTAINTY ESTIMATION OF SIMULATIONS OF TRANSCRANIAL ELECTRIC STIMULATION“. In BEM/MRM44. Southampton UK: WIT Press, 2021. http://dx.doi.org/10.2495/be440121.
Der volle Inhalt der QuelleKohtanen, Eetu, Matteo Mazzotti, Massimo Ruzzene und Alper Erturk. „Leveraging Vibrations and Guided Waves in a Human Skull“. In ASME 2021 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/imece2021-71315.
Der volle Inhalt der QuelleYuan, Yaoshen, Paolo Cassano, Matthew Pias und Qianqian Fang. „A Simulation Study for Transcranial Photobiomodulation Dosimetry Across Lifespan“. In Clinical and Translational Biophotonics. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/translational.2020.tw1b.7.
Der volle Inhalt der QuelleHao, Dongmei, Yanan Zhou, Pei Gao, Lin Yang, Yimin Yang und Fei Chen. „Simulation Study on Coil Design for Transcranial Magnetic Stimulation*“. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2018. http://dx.doi.org/10.1109/embc.2018.8512683.
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