2. ABSTRACT
• This project is to create an assistant for ultrasound guided femoral nerve
block. By segmenting and visualizing the important structures such as the
femoral artery.
• The first step towards this goal and presents a novel method for identifying
and registering a model of the surrounding anatomy to the ultrasound
images.
• The femoral artery is modelled as an ellipse. The artery is first detected by
a novel algorithm which initializes the artery tracking.
• This algorithm is completely automatic and requires no user interaction.
Artery tracking is achieved with a modified Kalman filter. A mesh model of
the surrounding anatomy was created from a CT dataset.
• Registration of this model is achieved by landmark registration using the
center points from the artery tracking and the femoral artery centerline of
the model. The artery detection method was able to automatically detect the
femoral artery.
• This project can be implemented using MATLAB. This algorithm will
achieve minimum average time for the artery detection and registration
methods.
3. OBJECTIVE
• The main objective of this project is to automatically segment
and register the CT scan image for regional anaesthesia
abnormal nerve.
• This algorithm is to mmnimize the time required for
segmentation and registration process.
4. INTRODUCTION
• The use of regional anaesthesia (RA) is increasing due to the
benefits over general anaesthesia (GA) such as reduced morbidity
and mortality, reduced postoperative pain, earlier mobility, shorter
hospital stay, and lower costs.
• Despite these clinical benefits, RA remains less popular than GA.
One reason for this is that GA is far more successful and reliable
than RA.
• Ultrasound has been employed to increase the success rate of RA .
However, ultrasound- guided RA can be a challenging technique,
especially for inexperienced physicians and in difficult cases.
• Good theoretical, practical and non-cognitive skills are needed in
order to achieve confidence in performing RA and to keep
complications to a minimum.
• This Project aims to design a system to reduces such risk in RA.
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