TY - JOUR
T1 - A novel method for determining the Femoral-Tibial Angle of Knee Osteoarthritis on X-ray radiographs
T2 - data from the Osteoarthritis Initiative
AU - Wahyuningrum, Rima Tri
AU - Purnama, I. Ketut Eddy
AU - Verkerke, Gijsbertus Jacob
AU - van Ooijen, Peter M.A.
AU - Purnomo, Mauridhi Hery
PY - 2020/8
Y1 - 2020/8
N2 - Femoral-tibial alignment is a prominent risk factor for Knee Osteoarthritis (KOA) incidence and progression. One
way of assessing alignment is by determining the Femoral-Tibial Angle (FTA). Several studies have investigated
FTA determination; however, methods of assessment of FTA still present challenges. This paper introduces a new
method for semi-automatic measurement of FTA as part of KOA research. Our novel approach combines preprocessing of X-ray images and the use of Active Shape Model (ASM) as the femoral and tibial segmentation
method, followed by a thinning process. The result of the thinning process is used to predict FTA automatically by
measuring the angle between the intersection of the two vectors of branching points on the femoral and tibial
areas. The proposed method is trained on 10 x-ray images and tested on 50 different x-ray images of the Osteoarthritis Initiative (OAI) dataset. The outcomes of this approach were compared with manually obtained FTA
measurements from the OAI dataset as the ground truth. Based on experiments, the difference in measurement
results between the FTA of the OAI and the FTA obtained using our method is quite small, i.e., below 0.81 for the
right FTA and below 0.77 for the left FTA with minimal average errors. This result indicates that this method is
clinically suitable for semi-automatic measurement of the FTA.Computer science; Medical imaging; Knee osteoarthritis; X-ray; Femoral-tibial angle; Active shape model
AB - Femoral-tibial alignment is a prominent risk factor for Knee Osteoarthritis (KOA) incidence and progression. One
way of assessing alignment is by determining the Femoral-Tibial Angle (FTA). Several studies have investigated
FTA determination; however, methods of assessment of FTA still present challenges. This paper introduces a new
method for semi-automatic measurement of FTA as part of KOA research. Our novel approach combines preprocessing of X-ray images and the use of Active Shape Model (ASM) as the femoral and tibial segmentation
method, followed by a thinning process. The result of the thinning process is used to predict FTA automatically by
measuring the angle between the intersection of the two vectors of branching points on the femoral and tibial
areas. The proposed method is trained on 10 x-ray images and tested on 50 different x-ray images of the Osteoarthritis Initiative (OAI) dataset. The outcomes of this approach were compared with manually obtained FTA
measurements from the OAI dataset as the ground truth. Based on experiments, the difference in measurement
results between the FTA of the OAI and the FTA obtained using our method is quite small, i.e., below 0.81 for the
right FTA and below 0.77 for the left FTA with minimal average errors. This result indicates that this method is
clinically suitable for semi-automatic measurement of the FTA.Computer science; Medical imaging; Knee osteoarthritis; X-ray; Femoral-tibial angle; Active shape model
KW - UT-Gold-D
KW - Active shape model
KW - Computer science
KW - Femoral-tibial angle
KW - Knee osteoarthritis
KW - Medical imaging
KW - X-ray
UR - http://www.scopus.com/inward/record.url?scp=85088946600&partnerID=8YFLogxK
U2 - 10.1016/j.heliyon.2020.e04433
DO - 10.1016/j.heliyon.2020.e04433
M3 - Article
AN - SCOPUS:85088946600
SN - 2405-8440
VL - 6
JO - Heliyon
JF - Heliyon
IS - 8
M1 - e04433
ER -