Gotowa bibliografia na temat „Diffusion CT”
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Artykuły w czasopismach na temat "Diffusion CT"
Da Silva, Marly Terezinha Quadri Simões, i Wellington Mazer. "Diffusion coefficient and tortuosity: Brownian Motion". CONTRIBUCIONES A LAS CIENCIAS SOCIALES 16, nr 9 (28.09.2023): 18281–302. http://dx.doi.org/10.55905/revconv.16n.9-264.
Pełny tekst źródłaGuo, Huimin, Zhiwen Zhang, Li Wang, Shuzhan Yao, Shuaishuai Xu, Shulin Ma i Songtao Liu. "Diagnostic Significance of 18F-FDG PET/CT Imaging Coupled with Magnetic Resonance Imaging of the Entire Body for Bone Metastases". Contrast Media & Molecular Imaging 2022 (27.09.2022): 1–7. http://dx.doi.org/10.1155/2022/7717398.
Pełny tekst źródłaSigismondi, Paolo. "Exploring Translation Gaps: The Untranslatability and Global Diffusion of “Cool”". Communication Theory 28, nr 3 (16.04.2018): 292–310. http://dx.doi.org/10.1093/ct/qtx007.
Pełny tekst źródłaChae, Baek, Chang shik Choi, Seung-Hwa Kang i Yun-Cheol Heo. "Diffusion of television, wax and wane of community and family bond". Communication Theories 14, nr 4 (31.12.2018): 139–82. http://dx.doi.org/10.20879/ct.2018.14.4.139.
Pełny tekst źródłaChae, Baek, Seung-Hwa Kang i Yun-Cheol Heo. "Diffusion of telephone and changes in interpersonal relationship: An oral history study". Communication Theories 15, nr 3 (30.09.2019): 105–51. http://dx.doi.org/10.20879/ct.2019.15.3.105.
Pełny tekst źródłaMorris, N. "A Comparative Analysis of the Diffusion and Participatory Models in Development Communication". Communication Theory 13, >2 (1.05.2003): 225–48. http://dx.doi.org/10.1093/ct/13.2.225.
Pełny tekst źródłaOkazumi, Shinichi, Gaku Ohira, Koichi Hayano, Tomoyoshi Aoyagi, Shunsuke Imanishi i Hisahiro Matsubara. "Novel Advances in Qualitative Diagnostic Imaging for Decision Making in Multidisciplinary Treatment for Advanced Esophageal Cancer". Journal of Clinical Medicine 13, nr 2 (22.01.2024): 632. http://dx.doi.org/10.3390/jcm13020632.
Pełny tekst źródłaKim, Su-Beom, Soo Jin Song, Yeong Hyoen Yoo i Dar Oh Lim. "International Comparative Analysis of Advanced Diagnostic Imaging Equipment Demand Characteristics Using the Bass Diffusion Model". Journal of Health Informatics and Statistics 49, nr 1 (28.02.2024): 27–34. http://dx.doi.org/10.21032/jhis.2024.49.1.27.
Pełny tekst źródłaDemeestere, Jelle, Carlos Garcia-Esperon, Pablo Garcia-Bermejo, Fouke Ombelet, Patrick McElduff, Andrew Bivard, Mark Parsons i Christopher Levi. "Evaluation of hyperacute infarct volume using ASPECTS and brain CT perfusion core volume". Neurology 88, nr 24 (17.05.2017): 2248–53. http://dx.doi.org/10.1212/wnl.0000000000004028.
Pełny tekst źródłaSato, Akira, i Koichi Ikeda. "Visualization of diffusion phenomena in porous media by means of X-ray computed tomography (CT) scanning". Canadian Geotechnical Journal 52, nr 10 (październik 2015): 1448–56. http://dx.doi.org/10.1139/cgj-2014-0451.
Pełny tekst źródłaRozprawy doktorskie na temat "Diffusion CT"
Mosavi, Firas. "Whole-Body MRI including Diffusion-Weighted Imaging in Oncology". Doctoral thesis, Uppsala universitet, Enheten för radiologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-209777.
Pełny tekst źródłaTakahashi, Hiroaki, Yoshimi Seida i Mikazu Yui. "3D X-ray CT and diffusion measurements to assess tortuosity and constrictivity in a sedimentary rock". Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-191088.
Pełny tekst źródłaTakahashi, Hiroaki, Yoshimi Seida i Mikazu Yui. "3D X-ray CT and diffusion measurements to assess tortuosity and constrictivity in a sedimentary rock". Diffusion fundamentals 11 (2009) 89, S. 1-11, 2009. https://ul.qucosa.de/id/qucosa%3A14061.
Pełny tekst źródłaPeyrat, Jean-Marc. "Comparison of cardiac anatomy and function : statistics on fibre architecture form DT-MRI and registration of 4D CT images". Nice, 2009. http://www.theses.fr/2009NICE4053.
Pełny tekst źródłaIn this thesis, we address the problem of comparing cardiac anatomy and function from medical images. The first part focuses on cardiac anatomy with a statistical study of cardiac fibre architecture from diffusion tensor magnetic resonance imaging (DT-MRI). The second part focuses on a joint comparison of cardiac anatomy and function with the nonlinear spatiotemporal registration of two 4D computed tomography (CT) sequences of different patients or of the same patient at different times. Cardiac fiber architecture, a complex spatial arrangement of myofibres locally bounded to each other to form planes called laminar sheets, plays an essential role in defining the electrical and mechanical behaviour of the heart, and thus in cardiac function. We propose a unified computational framework to perform a statistical analysis of cardiac fibre architecture from DT-MRI. The novelty of this framework lies on first- and second-order statistics directly computed on diffusion tensors (symmetric definite positive matrices) based on the Log-Euclidean metric. The variability of fibre and laminar sheet orientations among a population is then extracted from the covariance matrix of diffusion tensors. This computational framework is applied to a dataset of canine DT-MRI acquired ex vivo. This intra-species statistical comparison does not only provide an average model (or atlas) of cardiac fibre architecture, but also shows consistency of fibre orientation and discrepancies of laminar sheet orientation among this population of hearts. The resulting canine atlas is then compared to a rare single human DT-MRI acquisition ex vivo and a synthetic model used for electromechanical simulations or image analysis. This preliminary inter-species comparison shows a much better consistency of fibre orientation than laminar sheet orientation between human and canine hearts. Compared to the canine atlas, the synthetic model has showed to be limited for a complete and accurate description of cardiac fibre architecture. The acquisition of time-series of cardiac images gives the opportunity to observe cardiac motion and thus its function in addition to its anatomy. In order to compare this cardiac function, we propose a novel nonlinear spatiotemporal registration algorithm of time-series of images. The spatiotemporal registration is decoupled into a temporal registration that aims at mapping corresponding physiological events and into a spatial registration that aims at mapping corresponding anatomical points ensuring a consistency with their respective motion. This consistency is ensured by defining «trajectory constraints» linking intra-sequence transformations describing cardiac motion to inter-sequence transformations describing anatomical differences at different physiological times. Under these trajectory constraints, the 4D spatial registration problem is simplified to 3D multichannel registration problem solved using a new version of the «Diffeomorphic Demons», called the «Multichannel Diffeomorphic Demons». This new registration method is applied to the inter-subject registration of 4D cardiac CT sequences for evaluation. Its comparison to other existing methods shows that it is the best compromise between accuracy, spatial and temporal regularization, and computation times. A possible clinical application of the spatiotemporal nonlinear registration is then proposed to compare cardiac anatomy and function before and after therapy. We propose to study over a cardiac cycle the evolution of strains of inter-sequence transformations that we called «Remodeling Strains». These new cardiac indices can be used to explain and quantify remodeling processes after therapy
Peyrat, Jean-Marc. "Comparaison de l'Anatomie et de la Fonction Cardiaque : Statistiques sur l'Architecture des Fibres et Recalage d'Images 4D CT". Phd thesis, Université de Nice Sophia-Antipolis, 2009. http://tel.archives-ouvertes.fr/tel-00635292.
Pełny tekst źródłaNunn, Jacob. "Investigations of Partial Gas Saturation on Diffusion in Low-permeability Sedimentary Rocks". Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38396.
Pełny tekst źródłaGu, Jing, i 谷静. "Multiparametric imaging using diffusion and dynamic-contrast enhanced MRI, and 18F-FDG PET/CT in the evaluation of primary rectal cancer andmalignant lymphoma". Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B47027174.
Pełny tekst źródłaFabien, Aurélie Jessica. "Etude du couplage comportement hydromécanique – durabilité dans le béton de la structure : application à la maquette MAREVA". Nantes, 2012. http://www.theses.fr/2012NANT2090.
Pełny tekst źródłaMaiwald, Bettina, Donald Lobsien, Thomas Kahn i Patrick Stumpp. "Is 3-Tesla Gd-EOB-DTPA-enhanced MRI with diffusion-weighted imaging superior to 64-slice contrast-enhanced CT for the diagnosis of hepatocellular carcinoma?" Universitätsbibliothek Leipzig, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-155190.
Pełny tekst źródłaCunningham, Dustin T. "Fusion of Multimodal Neuroimaging for Deep Brain Stimulation Studies". The Ohio State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=osu1337895443.
Pełny tekst źródłaKsiążki na temat "Diffusion CT"
Gardner, Andrew, Grant L. Iverson, Paul van Donkelaar, Philip N. Ainslie i Peter Stanwell. Magnetic Resonance Spectroscopy, Diffusion Tensor Imaging, and Transcranial Doppler Ultrasound Following Sport-Related Concussion. Redaktorzy Ruben Echemendia i Grant L. Iverson. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199896585.013.12.
Pełny tekst źródłaGlockner, James F., Kazuhiro Kitajima i Akira Kawashima. Magnetic resonance imaging. Redaktor Christopher G. Winearls. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199592548.003.0015_update_001.
Pełny tekst źródłaDas, Raj, Susan Heenan i Uday Patel. Magnetic resonance imaging in urology. Redaktor Michael Weston. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199659579.003.0134.
Pełny tekst źródłaCzęści książek na temat "Diffusion CT"
Ferrozzi, Francesco, Giacomo Garlaschi i Davide Bova. "Modalities of Metastatic Diffusion". W CT of Metastases, 5–10. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59595-0_3.
Pełny tekst źródłaAli, Hazrat, Shafaq Murad i Zubair Shah. "Spot the Fake Lungs: Generating Synthetic Medical Images Using Neural Diffusion Models". W Communications in Computer and Information Science, 32–39. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_3.
Pełny tekst źródłaRossi, Armando, i Giorgio Rossi. "Diffusion of Malignant Tumors of Intraperitoneal Organs to the Peritoneum, Ligaments, Mesenteries, Omentum and Lymph Nodes". W CT of the Peritoneum, 353–403. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56488-8_13.
Pełny tekst źródłaKaur, Kavkirat, i Shailendra Tiwari. "Low-Dose CT Image Reconstruction Using Complex Diffusion Regularization". W Advances in Intelligent Systems and Computing, 657–68. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-1135-2_50.
Pełny tekst źródłaManniesing, Rashindra, i Wiro Niessen. "Multiscale Vessel Enhancing Diffusion in CT Angiography Noise Filtering". W Lecture Notes in Computer Science, 138–49. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11505730_12.
Pełny tekst źródłaKroon, Dirk-Jan, Cornelis H. Slump i Thomas J. J. Maal. "Optimized Anisotropic Rotational Invariant Diffusion Scheme on Cone-Beam CT". W Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010, 221–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15711-0_28.
Pełny tekst źródłaWan, Simon. "MRI and Diffusion-Weighted MRI in Treatment Response Evaluation Overview". W Atlas of Clinical PET-CT in Treatment Response Evaluation in Oncology, 17–26. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68858-5_3.
Pełny tekst źródłaLiu, Jianfei, Shijun Wang, Jianhua Yao, Marius George Linguraru i Ronald M. Summers. "Manifold Diffusion for Exophytic Kidney Lesion Detection on Non-contrast CT Images". W Advanced Information Systems Engineering, 340–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-40811-3_43.
Pełny tekst źródłade Win, Maartje M. L. "Imaging of the Orbit: “Current Concepts”". W Surgery in and around the Orbit, 121–39. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-40697-3_4.
Pełny tekst źródłaLeiva-Salinas, Carlos, Wade Smith i Max Wintermark. "Application of MR Diffusion, CT Angiography and Perfusion Imaging in Stroke Neurocritical Care". W Emergency Management in Neurocritical Care, 205–13. Oxford, UK: Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118297162.ch23.
Pełny tekst źródłaStreszczenia konferencji na temat "Diffusion CT"
Liu, Anqi, Grace J. Gang i Joseph W. Stayman. "Fourier diffusion for sparse CT reconstruction". W Physics of Medical Imaging, redaktorzy Rebecca Fahrig, John M. Sabol i Ke Li. SPIE, 2024. http://dx.doi.org/10.1117/12.3008622.
Pełny tekst źródłaLi, Shudong, Matthew Tivnan i Joseph W. Stayman. "Diffusion posterior sampling for nonlinear CT reconstruction". W Physics of Medical Imaging, redaktorzy Rebecca Fahrig, John M. Sabol i Ke Li. SPIE, 2024. http://dx.doi.org/10.1117/12.3007693.
Pełny tekst źródłaFogden, Andrew, Terri Olson, Qianhao Cheng, Jill Middleton, Andrew Kingston, Michael Turner, Adrian Sheppard i Ryan Armstrong. "Dynamic Micro-CT Imaging of Diffusion in Unconventionals". W Unconventional Resources Technology Conference. Society of Petroleum Engineers, 2015. http://dx.doi.org/10.2118/178617-ms.
Pełny tekst źródłaFogden, Andrew, Terri Olson, Michael Turner i Jill Middleton. "Dynamic Micro-CT Imaging of Diffusion in Unconventionals". W Unconventional Resources Technology Conference. Tulsa, OK, USA: American Association of Petroleum Geologists, 2015. http://dx.doi.org/10.15530/urtec-2015-2154822.
Pełny tekst źródłaGao, Yuan, Huiqiao Xie, Chih-Wei Chang, Junbo Peng, Jing Wang, Lei Qiu, Tonghe Wang i in. "Contrast-enhanced dual-energy CT synthesis from single energy CT using diffusion model". W Clinical and Biomedical Imaging, redaktorzy Barjor S. Gimi i Andrzej Krol. SPIE, 2024. http://dx.doi.org/10.1117/12.3008507.
Pełny tekst źródłaDouiri, Abdel, Musib Siddique, Xujiong Ye, Gareth Beddoe i Greg Slabaugh. "Enhanced detection in CT colonography using adaptive diffusion filtering". W SPIE Medical Imaging, redaktorzy Josien P. W. Pluim i Benoit M. Dawant. SPIE, 2009. http://dx.doi.org/10.1117/12.811563.
Pełny tekst źródłaPan, Shaoyan, Elham Abouei, Jacob Wynne, Tonghe Wang, Richard Qiu, Yuheng Li, Chih-Wei Chang i in. "Synthetic CT generation from MRI using 3D diffusion model". W Image Processing, redaktorzy Olivier Colliot i Jhimli Mitra. SPIE, 2024. http://dx.doi.org/10.1117/12.3006578.
Pełny tekst źródłaFerreira, Victor, Anselmo Cardoso de Paiva, Aristofanes Silva, João Sousa de Almeida, Geraldo Braz Junior i Francesco Renna. "Diffusion Model for Generating Synthetic Contrast Enhanced CT from Non-Enhanced Heart Axial CT Images". W 26th International Conference on Enterprise Information Systems. SCITEPRESS - Science and Technology Publications, 2024. http://dx.doi.org/10.5220/0012724600003690.
Pełny tekst źródłaBruder, H., R. Raupach, E. Klotz, K. Stierstorfer i T. Flohr. "Spatio-temporal filtration of dynamic CT data using diffusion filters". W SPIE Medical Imaging, redaktorzy Ehsan Samei i Jiang Hsieh. SPIE, 2009. http://dx.doi.org/10.1117/12.811085.
Pełny tekst źródłaKhazaee, Tina, Chris J. D. Norley, Hristo N. Nikolov, Steven I. Pollmann i David W. Holdsworth. "Micro-CT imaging technique to characterize diffusion of small-molecules". W Biomedical Applications in Molecular, Structural, and Functional Imaging, redaktorzy Barjor S. Gimi i Andrzej Krol. SPIE, 2020. http://dx.doi.org/10.1117/12.2548624.
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