Zobrazeno 1 - 10
of 804
pro vyhledávání: '"b-values"'
Autor:
Bilgen Mehpare Özer, Yüksel Pabuşçu, Serdar Tarhan, Gülgün Yılmaz Ovalı, Hasan Aydede, Peyker Demireli, Tuğba Karadeniz
Publikováno v:
Thyroid Research, Vol 17, Iss 1, Pp 1-8 (2024)
Abstract Background The aim was to investigate which of two different b values (b 500 s/mm² and b 800 s/mm²) are more effective in the differentiation of benign-malignant nodules using Diffusion-Weighted Magnetic Resonance Imaging (DW-MRI). Materia
Externí odkaz:
https://doaj.org/article/343aea458bc94fc39f46fe21fca57566
Autor:
Guixian Tang, Hailing Zhou, Chunyuan Zeng, Yuanfang Jiang, Ying Li, Lu Hou, Kai Liao, Zhiqiang Tan, Huanhua Wu, Yongjin Tang, Yong Cheng, Xueying Ling, Qiang Guo, Hao Xu
Publikováno v:
Epilepsia Open, Vol 9, Iss 4, Pp 1515-1525 (2024)
Abstract Objective Subcortical nuclei such as the thalamus and striatum have been shown to be related to seizure modulation and termination, especially in drug‐resistant epilepsy. Enhance diffusion‐weighted imaging (eDWI) technique and tri‐comp
Externí odkaz:
https://doaj.org/article/73956832022e424bac6544eff17f5262
Autor:
Karoline Kallis, Christopher C. Conlin, Allison Y. Zhong, Troy S. Hussain, Aritrick Chatterjee, Gregory S. Karczmar, Rebecca Rakow-Penner, Anders M. Dale, Tyler M. Seibert
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background High b-value diffusion-weighted images (DWI) are used for detection of clinically significant prostate cancer (csPCa). This study qualitatively and quantitatively compares synthesized DWI (sDWI) to acquired (aDWI) for detection of
Externí odkaz:
https://doaj.org/article/5e91fd514a984dd0ab4d436bcca561bb
Publikováno v:
eLife, Vol 12 (2024)
Diffusional kurtosis imaging (DKI) is a methodology for measuring the extent of non-Gaussian diffusion in biological tissue, which has shown great promise in clinical diagnosis, treatment planning, and monitoring of many neurological diseases and dis
Externí odkaz:
https://doaj.org/article/a1f0aaf09bed4aa9b9623ff1265e8d5f
Publikováno v:
Geoenvironmental Disasters, Vol 10, Iss 1, Pp 1-11 (2023)
Abstract Background The initial phase of earthquake hazard assessment involves the consolidation of diverse magnitude scales, thereby requiring the homogenization of various magnitudes. Moment magnitude (Mw) emerges as the preferred descriptor for a
Externí odkaz:
https://doaj.org/article/84c877f6d12f439e96073765290944f3
Publikováno v:
Applied Surface Science Advances, Vol 19, Iss , Pp 100579- (2024)
Molybdenum nitride-based composites, specifically the two-dimensional MoN/Mo2N variants, emerge as promising electrode materials for next-generation energy storage devices. This research presents a facile synthesis approach involving a mechanochemica
Externí odkaz:
https://doaj.org/article/193d7203fa74424abc83f5390eb3013e
Autor:
Nathan H. Williamson, Velencia J. Witherspoon, Teddy X. Cai, Rea Ravin, Ferenc Horkay, Peter J. Basser
Publikováno v:
Magnetic Resonance Letters, Vol 3, Iss 2, Pp 90-107 (2023)
Nuclear magnetic resonance (NMR) measurements of water diffusion have been extensively used to probe microstructure in porous materials, such as biological tissue, however primarily using pulsed gradient spin echo (PGSE) methods. Low-field single-sid
Externí odkaz:
https://doaj.org/article/3a95559052ef4e5fa36a141cffd3a59a
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 14, Iss 1 (2023)
AbstractThe African continent is one of the few tectonic plates where very few earthquakes have been reported. Sporadic poor data have jeopardized efforts to assess seismic hazards. In light of the tectonic setting, a review of the continent’s seis
Externí odkaz:
https://doaj.org/article/7791290740d24e42bea04e9377212c5e
Publikováno v:
Frontiers in Immunology, Vol 14 (2023)
BackgroundDisease activity is relevant to the treatment and prognosis of axSpA, and methods to quantitatively assess disease activity and efficacy of axSpA are still being explored.ObjectiveThe purpose of this study was to find an optimal quantitativ
Externí odkaz:
https://doaj.org/article/f4fdc5cb7242467e95c03ccb17f469c2
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