Knee osteoarthritis image registration: Data from the Osteoarthritis Initiative

被引:0
|
作者
Galvan-Tejada, Jorge I. [2 ]
Celaya-Padilla, Jose M.
Trevino, Victor
Tamez-Pena, Jose G. [1 ]
机构
[1] ITESM, Escuela Med, Dept Invest & Innovac, Monterrey 64710, NL, Mexico
[2] Univ Autonoma Zacatecas, Unidad Acad Ingn Elect, Zacatecas 98000, Zac, Mexico
关键词
Osteoarthritis; knee; K&L; image registration; RADIOGRAPHIC FEATURES; PAIN; SYMPTOMS; DISEASE;
D O I
10.1117/12.2082426
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
Knee osteoarthritis is a very common disease, in early stages, changes in joint structures are shown, some of the most common symptoms are; formation of osteophytes, cartilage degradation and joint space reduction, among others. Based on a joint space reduction measurement, Kellgren-Lawrence grading scale (K&L), is a very extensive used tool to asses radiological OA knee x-ray images, based on information obtained from these assessments, the objective of this work is to correlate the K&L score to the bilateral asymmetry between knees. Using public data from the Osteoarthritis initiative (OAI), a set of images with different K&L scores were used to determine a relationship of K&L score and the bilateral asymmetry, in order to measure the asymmetry between the knees, the right knee was registered to match the left knee, then a series of similarity metrics, mutual information, correlation, and mean squared error where computed to correlate the deformation (mismatch) of the knees to the K&L score. Radiological information was evaluated and scored by OAI radiologist groups. The results of the study suggest an association between Radiological K&L score and image registration metrics, mutual information and correlation is higher in the early stages, and mean squared error is higher in advanced stages. This association can be helpful to develop a computer aided grading tool.
引用
收藏
页数:7
相关论文
共 50 条
  • [21] Identifying the Phenotypic and Temporal Heterogeneity of Knee Osteoarthritis: Data From the Osteoarthritis Initiative
    Li, Mengjiao
    Lan, Lan
    Luo, Jiawei
    Peng, Li
    Li, Xiaolong
    Zhou, Xiaobo
    FRONTIERS IN PUBLIC HEALTH, 2021, 9
  • [22] Best performing definition of accelerated knee osteoarthritis: data from the Osteoarthritis Initiative
    Driban, Jeffrey B.
    Stout, Alina C.
    Lo, Grace H.
    Eaton, Charles B.
    Price, Lori Lyn
    Lu, Bing
    Barbe, Mary F.
    McAlindon, Timothy E.
    THERAPEUTIC ADVANCES IN MUSCULOSKELETAL DISEASE, 2016, 8 (05) : 165 - 171
  • [23] FINGER LENGTH RATIOS AND INCIDENT KNEE OSTEOARTHRITIS: DATA FROM THE OSTEOARTHRITIS INITIATIVE
    Motyl, J.
    O'Brien, A. N.
    Duryea, J.
    Driban, J. B.
    Price, L. L.
    Harvey, W. F.
    Eaton, C. B.
    McAlindon, T. E.
    OSTEOARTHRITIS AND CARTILAGE, 2012, 20 : S210 - S210
  • [24] Dietary Patterns and Risk of Developing Knee Osteoarthritis: Data from the Osteoarthritis Initiative
    Lu, Bing
    Driban, Jeffrey B.
    McAlindon, Timothy E.
    Eaton, Charles
    ARTHRITIS & RHEUMATOLOGY, 2017, 69
  • [26] Dietary Patterns and Radiographic Progression of Knee Osteoarthritis: Data from the Osteoarthritis Initiative
    Lu, Bing
    Driban, Jeffrey
    Xu, Chang
    McAlindon, Timothy E.
    Eaton, Charles B.
    ARTHRITIS & RHEUMATOLOGY, 2016, 68
  • [27] Dietary Patterns and Symptomatic Progression of Knee Osteoarthritis: Data from the Osteoarthritis Initiative
    Xu, Chang
    Marchand, Nathalie
    Driban, Jeffrey
    McAlindon, Timothy
    Eaton, Charles
    Lu, Bing
    ARTHRITIS & RHEUMATOLOGY, 2019, 71
  • [28] Classification of patients with knee osteoarthritis in clinical phenotypes: Data from the osteoarthritis initiative
    Dell'Isola, A.
    Steultjens, M.
    PLOS ONE, 2018, 13 (01):
  • [29] DIETARY PATTERNS AND SYMPTOMATIC PROGRESSION OF KNEE OSTEOARTHRITIS: DATA FROM THE OSTEOARTHRITIS INITIATIVE
    Xu, C.
    Roberts, M.
    Driban, J.
    McAlindon, T.
    Eaton, C.
    Lu, B.
    OSTEOARTHRITIS AND CARTILAGE, 2019, 27 : S264 - S265
  • [30] Knee confidence and physical function in persons with or at risk for knee osteoarthritis: Data from the osteoarthritis initiative
    Sharma, Leena
    Song, Jing
    Hayes, Karen
    Dunlop, Dorothy
    ARTHRITIS AND RHEUMATISM, 2008, 58 (09): : S238 - S238