Title :
Spine curve modeling for quantitative analysis of spinal curvature
Author :
Hay, Ori ; Hershkovitz, Israel ; Rivlin, Ehud
Author_Institution :
Dept. of Anatomy, Tel Aviv Univ., Tel Aviv, Israel
Abstract :
Spine curvature and posture are important to sustain healthy back. Incorrect spine configuration can add strain to muscles and put stress on the spine, leading to low back pain (LBP). We propose new method for analyzing spine curvature in 3D, using CT imaging. The proposed method is based on two novel concepts: the spine curvature is derived from spinal canal centerline, and evaluation of the curve is carried out against a model based on healthy individuals. We show results of curvature analysis of healthy population, pathological (scoliosis) patients, and patients having nonspecific chronic LBP.
Keywords :
biomechanics; bone; computerised tomography; medical image processing; muscle; CT imaging; low back pain; muscles; posture; scoliosis; spinal canal centerline; spinal curvature; spine curve modeling; Algorithms; Computer Simulation; Female; Humans; Imaging, Three-Dimensional; Male; Models, Anatomic; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity; Spinal Curvatures; Spine; Tomography, X-Ray Computed;
Conference_Titel :
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-3296-7
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2009.5333263