Literature DB >> 17520642

Computer-aided navigation for arthroscopic hip surgery using encoder linkages for position tracking.

Emily Monahan1, Kenji Shimada.   

Abstract

BACKGROUND: While arthroscopic surgery has many advantages over traditional surgery, this minimally invasive technique is not often applied to the hip joint. Two main reasons for this are the complexity of navigating within the joint and the difficulty of correctly placing portal incisions without damaging critical neurovascular structures. This paper proposes a computer-aided navigation system to address the challenges of arthroscopic hip surgery.
METHODS: Unlike conventional arthroscopic methods, our system uses a hyper-redundant encoder linkage to track surgical instruments, thus eliminating the occlusion and distortion problems associated with standard optical and electromagnetic tracking systems. The encoder linkage position information is used to generate a computer display of patient anatomy.
RESULTS: The tracking error from the encoder linkage was evaluated to be within an acceptable range for this tracking prototype, and the new computer-aided approach to arthroscopic hip surgery was applied to a prototype system for concept verification.
CONCLUSION: This navigation system for arthroscopic hip surgery can be used as a tool to address the challenges of joint navigation and portal placement in arthroscopic hip surgery by visually supplementing the limiting view from the arthroscope. The introduction of a tracking linkage shows significant potential as an alternative to other tracking systems. Positive feedback about the completed demo system was obtained from surgeons who perform arthroscopic procedures. Copyright 2006 John Wiley & Sons, Ltd.

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Year:  2006        PMID: 17520642     DOI: 10.1002/rcs.100

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  4 in total

1.  Position error reduction in a mechanical tracking linkage for arthroscopic hip surgery.

Authors:  Emily Geist; Kenji Shimada
Journal:  Int J Comput Assist Radiol Surg       Date:  2011-04-02       Impact factor: 2.924

Review 2.  Hip arthroscopy: the use of computer assistance.

Authors:  Danyal H Nawabi; Denis Nam; Caroline Park; Anil S Ranawat
Journal:  HSS J       Date:  2013-01-03

3.  Augmented reality-based navigation system for wrist arthroscopy: feasibility.

Authors:  Ahmed Zemirline; Vincent Agnus; Luc Soler; Christophe L Mathoulin; Miryam Obdeijn; Philippe A Liverneaux
Journal:  J Wrist Surg       Date:  2013-11

4.  Robotic-assisted femoral osteochondroplasty is more precise than a freehand technique in a Sawbone model.

Authors:  Caroline N Park; Danyal H Nawabi; Jennifer Christopher; Michael A Conditt; Anil S Ranawat
Journal:  J Hip Preserv Surg       Date:  2015-06-17
  4 in total

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