Výsledky vyhledávání - "Esther Raithel"

Akademický článek

Clinical validation of the use of prototype software for automatic cartilage segmentation to quantify knee cartilage in volunteers

Autor: Ping Zhang, Ran Xu Zhang, Xiao Shuai Chen, Xiao Yue Zhou, Esther Raithel, Jian Ling Cui, Jian Zhao

Publikováno v: BMC Musculoskeletal Disorders, Vol 23, Iss 1, Pp 1-9 (2022)

Abstract Background The cartilage segmentation algorithms make it possible to accurately evaluate the morphology and degeneration of cartilage. There are some factors (location of cartilage subregions, hydrarthrosis and cartilage degeneration) that m

Externí odkaz: https://doaj.org/article/34650dd72b234fdd82ab9de57ba8ff75

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Akademický článek

Analysis of Knee Joint Injury Caused by Physical Training of Freshmen Students Based on 3T MRI and Automatic Cartilage Segmentation Technology: A Prospective Study

Autor: Lingling Liu, Henan Liu, Zhiming Zhen, Yalan Zheng, Xiaoyue Zhou, Esther Raithel, Jiang Du, Yan Hu, Wei Chen, Xiaofei Hu

Publikováno v: Frontiers in Endocrinology, Vol 13 (2022)

BackgroundThe differential effects of various exercises on knee joint injury have not been well documented. Improper physical training can cause irreversible damage to the knee joint. MRI is generally used to precisely analyze morphological and bioch

Externí odkaz: https://doaj.org/article/01730f5375aa49879e42124cf53b3723

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Surveillance of abdominal aortic aneurysm using accelerated 3D non-contrast black-blood cardiovascular magnetic resonance with compressed sensing (CS-DANTE-SPACE)

Autor: Chengcheng Zhu, Lizhen Cao, Zhaoying Wen, Sinyeob Ahn, Esther Raithel, Christoph Forman, Michael Hope, David Saloner

Publikováno v: Journal of Cardiovascular Magnetic Resonance, Vol 21, Iss 1, Pp 1-11 (2019)

Abstract Background 3D non-contrast high-resolution black-blood cardiovascular magnetic resonance (CMR) (DANTE-SPACE) has been used for surveillance of abdominal aortic aneurysm (AAA) and validated against computed tomography (CT) angiography. Howeve

Externí odkaz: https://doaj.org/article/97cb8a9816ec451a885471e91506d5df

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Repeatability of Dixon magnetic resonance imaging and magnetic resonance spectroscopy for quantitative muscle fat assessments in the thigh

Autor: Alexandra Grimm, Heiko Meyer, Marcel D. Nickel, Mathias Nittka, Esther Raithel, Oliver Chaudry, Andreas Friedberger, Michael Uder, Wolfgang Kemmler, Klaus Engelke, Harald H. Quick

Publikováno v: Journal of Cachexia, Sarcopenia and Muscle, Vol 9, Iss 6, Pp 1093-1100 (2018)

Abstract Background Changes in muscle fat composition as for example observed in sarcopenia or muscular dystrophy affect physical performance and muscular function, like strength and power. The purpose of the present study is to measure the repeatabi

Externí odkaz: https://doaj.org/article/77eea907eaee4d5da32eca1ae5e7a63a

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Deep Learning Diagnosis and Classification of Rotator Cuff Tears on Shoulder MRI

Autor: Dana J. Lin, Michael Schwier, Bernhard Geiger, Esther Raithel, Heinrich von Busch, Jan Fritz, Mitchell Kline, Michael Brooks, Kevin Dunham, Mehool Shukla, Erin F. Alaia, Mohammad Samim, Vivek Joshi, William R. Walter, Jutta M. Ellermann, Hakan Ilaslan, David Rubin, Carl S. Winalski, Michael P. Recht

Publikováno v: Investigative Radiology. 58:405-412

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fb4f06e497fd3fdeb9c93c86294cea07
https://doi.org/10.1097/rli.0000000000000951

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Intracranial vessel wall imaging framework – Data acquisition, processing, and visualization

Autor: Konstanze Guggenberger, Ute Ludwig, Esther Raithel, Christoph Forman, Axel J. Krafft, Jürgen Hennig, Patrick Vogel, Stephan Meckel, Thorsten A. Bley

Publikováno v: Magnetic Resonance Imaging. 83:114-124

Objective Assessment of vessel walls is an integral part in diagnosis and disease monitoring of vascular diseases such as vasculitis. Vessel wall imaging (VWI), in particular of intracranial arteries, is the domain of Magnetic Resonance Imaging (MRI)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c626e54f7ecaff7e2ba2897d329e30b4
https://doi.org/10.1016/j.mri.2021.08.004

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