Modelling skin pelvic landmark coordinates into corresponding internal bone for wheelchair users.
The purpose of this study was to investigate the relationships, by linear regression, between internal and external pelvic landmarks identified by two techniques: manual digitization or skin markers. It was hypothesized that the body mass index or the skinfold thickness are significant variables in these relationships. The internal pelvic landmarks were obtained with a stereoradiographic method. Results showed that the external coordinates are generally statistically different from the internal ones; manual digitization of the landmark reduces the soft tissue artifacts compared to the use of skin markers. Different regression models were obtained according to the external acquisition method. Body mass index or skinfold thickness was generally included as a significant variable in models along the direction of the soft tissue thickness: postero-anterior direction for the anterior-superior iliac spine, medio-lateral direction for the apex of the iliac crests. With the use of skin markers, models obtained for a specific internal landmark coordinate include generally many variables, such as the other two coordinates of the landmark, body mass index, or skinfold measurements. This study presented preliminary results on the relationships between internal and external pelvic landmark coordinates. More research is needed before the full relationships are understood and adequate models are developed.
Lalonde
Nadine-Michèle
NM
Institute of Biomedical Engineering, Ecole Polytechnique de Montréal, C.P. 6079 succ. Centre-Ville, Montreal, QC H3C 3A7, Canada. nadine_michele_lalonde@hotmail.com
Dansereau
Jean
J
Lacoste
Michèle
M
Aissaoui
Rachid
R
D000293:Adolescent; D003198:Computer Simulation; D005260:Female; D020233:Gait Disorders, Neurologic / Q000000981:diagnostic imaging / Q000503:physiopathology / Q000534:rehabilitation; D006801:Humans; D008297:Male; D008954:Models, Biological; D010384:Pelvic Bones / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D010388:Pelvis / Q000000981:diagnostic imaging / Q000503:physiopathology; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods; D012867:Skin / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D014910:Wheelchairs