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UWE Bristol Engineering showcase 2015

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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.

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