Automated postoperative muscle assessment of hip arthroplasty patients using multimodal imaging joint segmentation.
第一作者:
Marta B M,Ranzini
第一单位:
Centre for Medical Imaging Computing, University College London, London, UK; School of Biomedical Engineering & Imaging Sciences, King's College London, King's Health Partners, St Thomas' Hospital, London SE1 7EH, United Kingdom; Medical Physics and Biomedical Engineering Department, University College London, London WC1E 6BT, United Kingdom. Electronic address: marta.ranzini.15@ucl.ac.uk.
作者:
医学主题词
脂肪组织(Adipose Tissue);成年人(Adult);老年人(Aged);算法(Algorithms);关节成形术, 置换, 髋(Arthroplasty, Replacement, Hip);女(雌)性(Female);髋关节(Hip Joint);髋假体(Hip Prosthesis);人类(Humans);图像解释, 计算机辅助(Image Interpretation, Computer-Assisted);图像处理, 计算机辅助(Image Processing, Computer-Assisted);磁共振成像(Magnetic Resonance Imaging);男(雄)性(Male);中年人(Middle Aged);肌(Muscles);肌萎缩(Muscular Atrophy);模式识别, 自动(Pattern Recognition, Automated);结果可重复性(Reproducibility of Results);回顾性研究(Retrospective Studies);体层摄影术, X线计算机(Tomography, X-Ray Computed)
DOI
10.1016/j.cmpb.2019.105062
PMID
31522089
发布时间
2020-08-07
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