UWE Bristol Engineering showcase 2015
Create successful ePaper yourself
Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.
Joshua Milton<br />
Mechanical <strong>Engineering</strong> (MEng)<br />
Project Supervisor<br />
Melvyn Smith<br />
Using Computer Vision to Calculate the Cobb Angle of a Scoliosis Patient<br />
Currently, the NHS is experiencing budget cuts in many sectors. Due to the large amount of X-Rays taken each year,<br />
any method to drastically reduce the number of X-Rays taken would ease the strain in many other sectors. Each X-<br />
Ray costs the NHS on average £27, with this figure the total cost per year in the UK due to scoliosis X-rays can be<br />
estimated at £103.842 million. The potential health risks of X-Rays are well known, the ionising radiation produced<br />
causes cancerous cells to develop. This thesis explores the development of computer vision and tests to see if a<br />
screening method can be used to replace X-Rays when calculating the Cobb angle of Scoliosis patient's.<br />
Project Objectives<br />
The main objective of the thesis is to propose<br />
and test a screening method based on<br />
computer vision techniques that can calculate<br />
the Cobb angle of a patient suffering from<br />
Scoliosis.<br />
The Cobb Angle and its Calculation<br />
In order to measure the Cobb angle a line must be<br />
drawn parallel to the most tilted vertebra at the<br />
top of the curve. Then a similar line is drawn at the<br />
most tilted vertebra at the bottom of the curve.<br />
For each parallel line a perpendicular line is drawn<br />
from one end of the line towards the centre of the<br />
curve so that the lines cross from each end of the<br />
curve. The angle where the lines cross is the Cobb<br />
angle.<br />
The Cobb angle measurement is the gold standard<br />
of scoliosis evaluation endorsed by Scoliosis<br />
Research Society. It is used as the standard<br />
measurement to quantify and track the<br />
progression of scoliosis.<br />
Methodology Study<br />
The methodology study identifies the optimum<br />
method of collecting data. Three methods have<br />
been identified as potential ways of collecting the<br />
raw data of the spine location and ultimately the<br />
Cobb angle. The ASUS Xtion Pro Live depth camera<br />
is the computer vision device used to collect the<br />
data of the authors torso. The data produced by<br />
each of the three methods is compared to a recent<br />
X-Ray of the author. The X-Ray produced a cobb<br />
angle of 33 degrees. The most accurate data<br />
collection method was found to be the cross<br />
sectional method. The is method uses the depth<br />
data form the ASUS camera to produce several line<br />
graphs looking at the cross section of the torso on<br />
MATLAB. From the graphs the location of the spine<br />
was recorded so the spine could be constructed in<br />
Solidworks. Once the spine was reconstructed the<br />
Cobb angle was calculated at 32.83 degrees<br />
Optimum Distance Study<br />
The optimum distance study identifies the<br />
optimum distance for the torso of the patient to<br />
be away from the camera. The cross sectional<br />
method is used between the distance of 1000 -<br />
1800mm at increments of 200mm. At each point<br />
the Cobb angle determined is compared to that<br />
found by the X-Ray. The Cobb angel found at<br />
1000mm was found to be most accurate with an<br />
error percentage of 0.51 %.<br />
Variety of Cobb Angles Study<br />
The final study aims at assessing the cross<br />
sectional method used in the previous study with<br />
different severities of Scoliosis. Three models are<br />
manufactured with different Cobb angels using<br />
chicken wire and paper mache. The cross sectional<br />
method is used to determine the Cobb angle. All<br />
three cases using the cross sectional method<br />
produced an error percentage of under 2.5%.<br />
Project Conclusion<br />
The ASUS Xtion Live Pro was chosen as part of<br />
a feasibility study to assess whether it can<br />
perform to the standard of an X-Ray.<br />
In the feasibility study it was found that a<br />
cross sectional method that used MATLAB<br />
and Solidworks had the potential to find the<br />
Cobb angle with a low percentage error. This<br />
data collection method was tested in two<br />
more studies in order to assess the accuracy<br />
of the technique with the distance from the<br />
patient as a variable and then the severity of<br />
the patient’s case as the variable.<br />
The results were promising with an optimum<br />
distance found at 1000mm and a low<br />
percentage error of no more than 2.33% for<br />
all the variety of scoliosis cases.<br />
For the method to be seriously considered to<br />
potentially replace X-Rays for calculating the<br />
Cobb angle in Scoliosis patients a larger study<br />
would need to be taken to produce more data<br />
as the study only approached one human<br />
torso and model torsos.