title: Focused shape models for hip joint segmentation in 3D magnetic resonance images.
abstract: Deformable models incorporating shape priors have proved to be a successful approach in segmenting anatomical regions and specific structures in medical images. This paper introduces weighted shape priors for deformable models in the context of 3D magnetic resonance (MR) image segmentation of the bony elements of the human hip joint. The fully automated approach allows the focusing of the shape model energy to a priori selected anatomical structures or regions of clinical interest by preferentially ordering the shape representation (or eigen-modes) within this type of model to the highly weighted areas. This focused shape model improves accuracy of the shape constraints in those regions compared to standard approaches. The proposed method achieved femoral head and acetabular bone segmentation mean absolute surface distance errors of 0.55±0.18mm and 0.75±0.20mm respectively in 35 3D unilateral MR datasets from 25 subjects acquired at 3T with different limited field of views for individual bony components of the hip joint.
authors.affiliation: Australian e-Health Research Centre, CSIRO, Australia. Electronic address: Shekhar.Chandra@csiro.au.
authors.forename: Shekhar S
authors.initials: SS
authors.lastname: Chandra
authors.affiliation: Australian e-Health Research Centre, CSIRO, Australia. Electronic address: Ying.Xia@csiro.au.
authors.forename: Ying
authors.initials: Y
authors.lastname: Xia
authors.affiliation: School of Human Movement Studies, The University of Queensland, Australia.
authors.forename: Craig
authors.initials: C
authors.lastname: Engstrom
authors.affiliation: School of Information Technology and Electrical Engineering, The University of Queensland, Australia.
authors.forename: Stuart
authors.initials: S
authors.lastname: Crozier
authors.affiliation: Siemens Healthcare, Erlangen, Germany.
authors.forename: Raphael
authors.initials: R
authors.lastname: Schwarz
authors.affiliation: Australian e-Health Research Centre, CSIRO, Australia.
authors.forename: Jurgen
authors.initials: J
authors.lastname: Fripp
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D006621:Hip Joint / Q000033:anatomy & histology*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008954:Models, Biological; D015233:Models, Statistical; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
keywords: Bone segmentation; Hip joint; MRI; Shape models; WPCA