Quantitative CT study of martial arts sports injuries based on image quality

被引:8
作者
Ai Zexiu [1 ]
机构
[1] Chengdu Sports Univ, Martial Arts Coll, Chengdu, Sichuan, Peoples R China
关键词
Image quality; Wushu; Joint damage; Quantitative CT; OBJECT DETECTION; COMPUTATION; PROFILE; DEEP;
D O I
10.1016/j.jvcir.2019.03.013
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wushu is an outstanding cultural heritage of the Chinese nation and one of the most extensive mass sports in China. As a traditional sports event in China, martial arts are undergoing rapid changes. However, martial arts are a systemic sport with high requirements for speed, explosiveness and coordination. In recent years, with the rapid development of martial arts, competitive competitions have become increasingly fierce. It is easy for athletes to suffer physical damage during the practice of difficult movements. This not only affects the normal exercise and physical health of martial arts enthusiasts, but also affects the improvement of sports level and teaching quality. Therefore, it studies the common parts of martial arts sports injuries. Distribution, looking for its causes, proposing preventive measures, rapid development of image processing technology, digital image has become an indispensable part of multimedia information technology. Digital image is an important carrier for people to obtain information and communicate. Under this background, the research of image quality evaluation has become a hot spot in the field of image processing. The purpose of this paper is to analyze the anatomical characteristics of knee joints of martial arts athletes, the mechanics of injury, the pathophysiological changes after injury, and establish a mathematical model by computer algorithm to accurately perceive the image quality of martial arts sports damage, and finally achieve the use of computer instead of human vision. The system goes to view and recognize images. In this paper, the application value of quantitative CT parameters of martial arts exercise in the evaluation of martial arts injury joints is based on image quality, in order to provide valuable reference for the treatment of martial arts injury selection and prognosis evaluation. (C) 2019 Published by Elsevier Inc.
引用
收藏
页码:417 / 425
页数:9
相关论文
共 50 条
  • [11] Task-based quantification of image quality using a model observer in abdominal CT: a multicentre study
    Racine, Damien
    Ryckx, Nick
    Ba, Alexandre
    Becce, Fabio
    Viry, Anais
    Verdun, Francis R.
    Schmidt, Sabine
    EUROPEAN RADIOLOGY, 2018, 28 (12) : 5203 - 5210
  • [12] Task-based quantification of image quality using a model observer in abdominal CT: a multicentre study
    Damien Racine
    Nick Ryckx
    Alexandre Ba
    Fabio Becce
    Anais Viry
    Francis R. Verdun
    Sabine Schmidt
    European Radiology, 2018, 28 : 5203 - 5210
  • [13] Assessment of temporal resolution and detectability of moving objects in CT: A task-based image quality study
    Monnin, P.
    Rotzinger, D.
    Viry, A.
    Vitzthum, V.
    Racine, D.
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2024, 120
  • [14] Comparison of Image Quality and Semi-quantitative Measurements with Digital PET/CT and Standard PET/CT from Different Vendors
    Sung Hoon Kim
    Bong-Il Song
    Hae Won Kim
    Kyoung Sook Won
    Nuclear Medicine and Molecular Imaging, 2020, 54 : 233 - 240
  • [15] Comparison of Image Quality and Semi-quantitative Measurements with Digital PET/CT and Standard PET/CT from Different Vendors
    Kim, Sung Hoon
    Song, Bong-Il
    Kim, Hae Won
    Won, Kyoung Sook
    NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2020, 54 (05) : 233 - 240
  • [16] Lung nodule detection in pediatric chest CT: Quantitative relationship between image quality and radiologist performance
    Li, Xiang
    Samei, Ehsan
    Barnhart, Huiman X.
    Gaca, Ana Maria
    Hollingsworth, Caroline L.
    Maxfield, Charles M.
    Carrico, Caroline W. T.
    Colsher, James G.
    Frush, Donald P.
    MEDICAL PHYSICS, 2011, 38 (05) : 2609 - 2618
  • [17] Evaluation of automatic image quality assessment in chest CT - A human cadaver study
    Franck, Caro
    De Crop, An
    De Roo, Bieke
    Smeets, Peter
    Vergauwen, Merel
    Dewaele, Tom
    Van Borsel, Mathias
    Achten, Eric
    Van Hoof, Tom
    Bacher, Klaus
    PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2017, 36 : 32 - 37
  • [18] iQMetrix-CT: New software for task-based image quality assessment of phantom CT images
    Greffier, Joel
    Barbotteau, Yves
    Gardavaud, Francois
    DIAGNOSTIC AND INTERVENTIONAL IMAGING, 2022, 103 (11) : 555 - 562
  • [19] Artificial intelligence based image quality enhancement in liver MRI: a quantitative and qualitative evaluation
    Zerunian, Marta
    Pucciarelli, Francesco
    Caruso, Damiano
    Polici, Michela
    Masci, Benedetta
    Guido, Gisella
    De Santis, Domenico
    Polverari, Daniele
    Principessa, Daniele
    Benvenga, Antonella
    Iannicelli, Elsa
    Laghi, Andrea
    RADIOLOGIA MEDICA, 2022, 127 (10): : 1098 - 1105
  • [20] Image quality of conventional images of dual-layer SPECTRAL CT: A phantom study
    van Ommen, Fasco
    Bennink, Edwin
    Vlassenbroek, Alain
    Dankbaar, Jan Willem
    Schilham, Arnold M. R.
    Viergever, Max A.
    de Jong, Hugo W. A. M.
    MEDICAL PHYSICS, 2018, 45 (07) : 3031 - 3042