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Spina bifida is a birth defect caused by incomplete closing around the spinal cord. Spina bifida is diagnosed in a number of different ways. One approach involves searching for a deformity in the spinal axis via ultrasound. Although easy to apply, this approach requires a highly trained clinician to locate the abnormality due to the noise and distortion present in prenatal ultrasound images. Accordingly, visual examination of ultrasound images may be error prone and subjective. A computerized support system that would automatically detect the location of the spinal deformity may be helpful to the clinician in the diagnostic process. Such a software system first and foremost would require an algorithm for the identification of the entire (healthy or unhealthy) spine in the ultrasound image. This paper introduces a novel flocking dynamics based approach for reducing the size of the search space in the spine identification problem. Proposed approach accepts bone-like blobs on the ultrasound images as bird flocks and combine them into bone groups by calculating the migration path of each flock. Presented results reveal that the method is able to locate correct bones to be grouped together and reduce search space (i.e. number of bones) up to 68%.

Usage of Stewart Platform in orthopedics is a challenging task because there are numerous parameters, some of which are obtained from X-ray images, involved in mathematical computations for treatment process. Therefore, a computer program is required to ensure an accurate treatment and this program needs feature a graphical user interface so that the clinician can interact with the input in a convenient way and check the effects of parameter changes on the output effectively. In this work, a graphical user interface is proposed which requires less human intervention compared to similar, commercially available systems in use today. A simulation model, which is a part of the program, allows the clinician to visualize the entire treatment process.

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