Thesis

Locating the hip joint centre using ultrasonic techniques

Creator
Rights statement
Awarding institution
  • University of Strathclyde
Date of award
  • 2013
Thesis identifier
  • T13656
Qualification Level
Qualification Name
Department, School or Faculty
Abstract
  • Locating the Hip Joint Centre (HJC) is crucial for gait analyses. These studies allow for precise calculation of both kinetic and kinematic parameters, which are required for determining the forces and moments around the hip. However, unlike the knee and ankle joints of the lower limb, which can be easily located due to their close proximity to the surface of the skin, the hip joint is situated deeply in the pelvis. The challenge of incorrectly locating the HJC is the incorporation of errors as great as 20% into the parameters needed for gait studies. Although there have been developments in the approaches that are currently being used in locating the HJC, not much advancements have been made. Comparative studies between these methods have shown that the functional methods, which are based on sphere-fitting models, produce more accurate results than the predictive methods that are based on regression equation established from pelvic geometries. The underlying issue with using these methods is their incorporation of Soft Tissue Artifiacts (STA). The use of alternative methods, such as medical imaging, for locating the HJC that have the ability to reduce errors associated with STA are promising techniques. This study focused on the use of ultrasound for locating the HJC and attempted to compare the results to the functional methods currently used for verification. Although a direct comparison could not be made between these two methods, it is shown that the use of ultrasounds for locating the HJC reduces the incorporation of STA making it simpler to locate the HJC. However, a lot more investigation needs to be carried out in ultrasound image processing before they can be used as the new gold standard.
Resource Type
DOI
Date Created
  • 2013
Former identifier
  • 1005004

Relations

Items