Three-dimensional hip morphology analysis using CT transverse sections to automate diagnoses and surgery managements

Ming Shium Hsieh, Ming Dar Tsai, Yi Der Yeh

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

This paper describes an image analysis method that evaluates bone morphology of hip structures including the femur stem, trochanter, neck and head, acetabulum, and pelvis to automate hip diagnoses and surgical managements. On every CT transverse section, radial B-spline curves are used to approximate the ellipse-like acetabulum and femur head and stem. The femur neck is approximated as trapezoid-like and the pelvis horizontally symmetrical structure. The centers of the ellipse-like structures from transverse sections are used to determine 3D axes of the femur stem, head, and acetabulum. The centerlines of the neck or the pelvis on the sections are used to determine the neck axis or pelvis centerplane. Boundary changes of these structures are recognized as concave, convex and hole features that are then identified as fractures, tumors, and spurs. Based on the geometric evaluations of these structures and features, hip surgeries including tumor dissect and bone graft, open reduction using plates, screws and nails, and arthroplasty are automatically managed to achieve the normal hip function including dissection of tumors and reduction of dislocations and angular deviations between the hip structures. This prototype system can be used as a qualitative and quantitative tool for the diagnosis of various hip diseases and for the planning of accurate surgical procedures. A series of examples and four case studies illustrate this automated method can be used to accurately diagnose hip diseases and manage hip surgeries, and train operators.

Original languageEnglish
Pages (from-to)347-371
Number of pages25
JournalComputers in Biology and Medicine
Volume35
Issue number4
DOIs
Publication statusPublished - May 2005

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Keywords

  • 3D image reconstruction and surgical simulation
  • Feature recognition
  • Hip surgery and management
  • Image analysis

ASJC Scopus subject areas

  • Computer Science Applications

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