Добірка наукової літератури з теми "Sliding-Window fMR image reconstruction"
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Статті в журналах з теми "Sliding-Window fMR image reconstruction":
Zhang, Yixiong, Mingliang Tao, Kewei Yang, and Zhenmiao Deng. "Video Superresolution Reconstruction Using Iterative Back Projection with Critical-Point Filters Based Image Matching." Advances in Multimedia 2015 (2015): 1–10. http://dx.doi.org/10.1155/2015/285969.
Xu, Zhongbiao, Huihui Ye, Mengye Lyu, Hongjian He, Jianhui Zhong, Yingjie Mei, Zhifeng Chen, et al. "Rigid motion correction for magnetic resonance fingerprinting with sliding-window reconstruction and image registration." Magnetic Resonance Imaging 57 (April 2019): 303–12. http://dx.doi.org/10.1016/j.mri.2018.11.001.
Kim, Jae-In, Chang-Uk Hyun, Hyangsun Han, and Hyun-cheol Kim. "Evaluation of Matching Costs for High-Quality Sea-Ice Surface Reconstruction from Aerial Images." Remote Sensing 11, no. 9 (May 4, 2019): 1055. http://dx.doi.org/10.3390/rs11091055.
Chen, Yanqiao, Yangyang Li, Licheng Jiao, Cheng Peng, Xiangrong Zhang, and Ronghua Shang. "Adversarial Reconstruction-Classification Networks for PolSAR Image Classification." Remote Sensing 11, no. 4 (February 18, 2019): 415. http://dx.doi.org/10.3390/rs11040415.
Feng, Lulu, Dongdong Weng, and Bin Liang. "A Deep Facial BRDF Estimation Method Based on Image Translation." Journal of Physics: Conference Series 2363, no. 1 (November 1, 2022): 012011. http://dx.doi.org/10.1088/1742-6596/2363/1/012011.
Lee, Mun Bae, Geon-Ho Jahng, Hyung Joong Kim, and Oh-In Kwon. "High-frequency conductivity at Larmor-frequency in human brain using moving local window multilayer perceptron neural network." PLOS ONE 16, no. 5 (May 20, 2021): e0251417. http://dx.doi.org/10.1371/journal.pone.0251417.
Serag, Ahmed, Gillian Macnaught, Fiona C. Denison, Rebecca M. Reynolds, Scott I. Semple, and James P. Boardman. "Histograms of Oriented 3D Gradients for Fully Automated Fetal Brain Localization and Robust Motion Correction in 3 T Magnetic Resonance Images." BioMed Research International 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/3956363.
Bu, Dongdong, Shuxiang Guo, Jin Guo, He Li, and Hanze Wang. "Low-Density sEMG-Based Pattern Recognition of Unrelated Movements Rejection for Wrist Joint Rehabilitation." Micromachines 14, no. 3 (February 27, 2023): 555. http://dx.doi.org/10.3390/mi14030555.
Khan, S., and P. K. Gupta. "COMPARITIVE STUDY OF TREE COUNTING ALGORITHMS IN DENSE AND SPARSE VEGETATIVE REGIONS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 801–8. http://dx.doi.org/10.5194/isprs-archives-xlii-5-801-2018.
Zou, Yajing, Amr Eldemiry, Yaxin Li, and Wu Chen. "Robust RGB-D SLAM Using Point and Line Features for Low Textured Scene." Sensors 20, no. 17 (September 2, 2020): 4984. http://dx.doi.org/10.3390/s20174984.
Дисертації з теми "Sliding-Window fMR image reconstruction":
Amor, Zaineb. "Non-Cartesian Sparkling encoding for High spatio-temporal resolution functional Magnetic Resonance Imaging (fMRI) at 7 Tesla and beyond." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST032.
Functional MRI (fMRI) is currently one of the most commonly used functional neuroimaging techniques to probe brain activity non-invasively through the blood oxygen level-dependent (BOLD) contrast that reflects neurovascular coupling. It offers an interesting trade-off between spatial and temporal resolution in order to study the whole brain as an aggregation of intrinsic functional systems. The quest for higher spatial and/or temporal resolution in fMRI while preserving a sufficient temporal signal-to-noise ratio~(tSNR) has generated a tremendous amount of methodological contributions in the last decade ranging from Cartesian vs. non-Cartesian readouts, 2D vs. 3D acquisition strategies, parallel imaging and/or compressed sensing~(CS) accelerations and simultaneous multi-slice acquisitions to cite a few. In this work, we focus on the use of CS in fMRI; more specifically, we consider Spreading Projection Algorithm for Rapid K-space sampLING (SPARKLING) encoding scheme.The main focus and goal of this thesis involves the evaluation of 3D-SPARKLING as a viable acquisition scheme for high-resolution whole-brain fMRI. In this regard, we initially compared its capabilities with state-of-the-art 3D-EPI. After observing higher sensitivity to static and dynamic magnetic field imperfections in 3D-SPARKLING data, we established an experimental protocol to correct them. Finally, we studied the capabilities and limitations of employing a sliding-window reconstruction in combination with the SPARKLING encoding scheme to enhance temporal resolution during image reconstruction in fMRI retrospectively. A simulation study where the ground truth is controlled was conducted and demonstrated the possibility of detecting high-frequency oscillations in the BOLD signal and separating physiological noise from neural activity
Частини книг з теми "Sliding-Window fMR image reconstruction":
Khan, Jamal, Sarah Moharem-Elgamal, and Francesca Pugliese. "Image reconstruction, postprocessing, and fundamentals of image analysis." In EACVI Handbook of Cardiovascular CT, edited by Oliver Gaemperli, Pal Maurovich-Horvat, Koen Nieman, Gianluca Pontone, and Francesca Pugliese, 43—C1.6.S11. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/med/9780192884459.003.0006.
Kellogg, Susan. "Of Warriors and Working Women Gender in Later Prehispanic Mesoamerica and the Andes." In Weaving the Past, 18–52. Oxford University PressNew York, NY, 2005. http://dx.doi.org/10.1093/oso/9780195123814.003.0002.
Тези доповідей конференцій з теми "Sliding-Window fMR image reconstruction":
Tani, Jacopo, Sandipan Mishra, and John T. Wen. "On Derivative Sampling From Image Blur for Reconstruction of Band-Limited Signals." In ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/dscc2014-6180.
Huh, Sam S., W. L. Rogers, and Neal H. Clinthorne. "On-line sliding-window list-mode PET image reconstruction for a surgical pet imaging probe." In 2008 IEEE Nuclear Science Symposium and Medical Imaging conference (2008 NSS/MIC). IEEE, 2008. http://dx.doi.org/10.1109/nssmic.2008.4774493.
Kobayashi, Seiji, and Demetri Psaltis. "Novel method for computer-generated holography based on neural networks." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/oam.1990.mff6.
Conchello, Jose A., J. Peter Zelten, Frank C. Miele, Bruce H. Davis, and Eric W. Hansen. "Enhanced 3-D reconstruction from confocal microscope images." In OSA Annual Meeting. Washington, D.C.: Optica Publishing Group, 1988. http://dx.doi.org/10.1364/oam.1988.thff1.
Jiang, Peng, Lihui Peng, and Deyun Xiao. "Characterization of Window Functions for Regularization of Electrical Capacitance Tomography Image Reconstruction." In MULTIPHASE FLOW: THE ULTIMATE MEASUREMENT CHALLENGE: Proc.of The 5th Int. Symp. on Measurement Techniques for Multiphase Flows (5th ISMTMF); 2nd Int. Wrkshp.on Process Tomography (IWPT-2) (As a part of ISMTMF); 5th ISMTMF/IWPT-2, 2006-Macau/Zhuhai). AIP, 2007. http://dx.doi.org/10.1063/1.2747517.
Shi, Zhe, Wenwu Zhou, Tianlun Zhang, Yingzheng Liu, Bo Meng, Yihong He, and Fei Zeng. "A 3-D reconstruction approach for the IR-camera-based turbine blade temperature measurements." In GPPS Hong Kong24. GPPS, 2023. http://dx.doi.org/10.33737/gpps23-tc-035.
Park, Hong-Seok, Chintal Shah, and Rima Shah. "An Enhanced Development of 3D Intra-Oral Scanner Using Fringe-Projection Technique for Dentistry." In ASME 2016 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/imece2016-66427.
Whitney, W. T., B. J. Feldman та Michael T. Duignan. "Phase conjugation of 2.91-μm HF laser radiation via stimulated Brillouin scattering". У International Laser Science Conference. Washington, D.C.: Optica Publishing Group, 1986. http://dx.doi.org/10.1364/ils.1986.thj6.