Mixture-Based Bone Segmentation and Its Application in Computer Aided Diagnosis and Treatment Planning

  • Authors:
  • Hongbing Lu;Zhengrong Liang;Bin Li;Xiang Li;Jie Meng;Xin Liu

  • Affiliations:
  • Fourth Military Medical University;State University of New York at Stony Brook;State University of New York at Stony Brook;State University of New York at Stony Brook;Xijing Hospital;Fourth Military Medical University

  • Venue:
  • ICIG '04 Proceedings of the Third International Conference on Image and Graphics
  • Year:
  • 2004

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Abstract

The developmental dysplasia of the hip (DDH) is a congenital malformation of the acetabulum with different degrees. Leaving it partially treated or untreated is a major cause of disability. In this paper, we implemented a computer-aided system for the diagnosis and treatment planning of DDH. Instead of labeling each voxel with a unique label or tissue type, the percentage of different tissues within each voxel, which we call a mixture, was considered in establishing a maximum a posterior probability (MAP) framework for more accurate segmentation. A graphical module displayed the segmented bone in a 3D view to show the spatial relationship between acetabulum and femurs. This virtual image, together with quantitative measurement indexes, helps physicians make diagnosis. The system also provides physicians a virtual treatment planning on screen for acetabular and femoral osteotomy. It is currently under clinical trial on patient datasets.