Computerized analysis of pelvic incidence from 3D images

Tomaž Vrtovec; Michiel M. A. Janssen; Franjo Pernuš; René M. Castelein; Max A. Viergever

doi:10.1117/12.910912

14 February 2012 Computerized analysis of pelvic incidence from 3D images

Tomaž Vrtovec, Michiel M. A. Janssen, Franjo Pernuš, René M. Castelein, Max A. Viergever

Proceedings Volume 8314, Medical Imaging 2012: Image Processing; 83142G (2012) https://doi.org/10.1117/12.910912
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

The sagittal alignment of the pelvis can be evaluated by the angle of pelvic incidence (PI), which is constant for an arbitrary subject position and orientation and can be therefore compared among subjects in standing, sitting or supine position. In this study, PI was measured from three-dimensional (3D) computed tomography (CT) images of normal subjects that were acquired in supine position. A novel computerized method, based on image processing techniques, was developed to automatically determine the anatomical references required to measure PI, i.e. the centers of the femoral heads in 3D, and the center and inclination of the sacral endplate in 3D. Multiplanar image reformation was applied to obtain perfect sagittal views with all anatomical structures completely in line with the hip axis, from which PI was calculated. The resulting PI (mean±standard deviation) was equal to 46.6°±9.2° for male subjects (N = 189), 47.6°±10.7° for female subjects (N = 181), and 47.1°±10.0° for all subjects (N = 370). The obtained measurements of PI from 3D images were not biased by acquisition projection or structure orientation, because all anatomical structures were completely in line with the hip axis. The performed measurements in 3D therefore represent PI according to the actual geometrical relationships among anatomical structures of the sacrum, pelvis and hips, as observed from the perfect sagittal views.

Citation Download Citation

Tomaž Vrtovec, Michiel M. A. Janssen, Franjo Pernuš, René M. Castelein, and Max A. Viergever "Computerized analysis of pelvic incidence from 3D images", Proc. SPIE 8314, Medical Imaging 2012: Image Processing, 83142G (14 February 2012); https://doi.org/10.1117/12.910912

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