A Nature-Inspired Search Space Reduction Technique for Spine Identification on Ultrasound Samples of Spina Bifida Cases.

Scientific Reports
Caglar CengizlerSelim Buyukkurt

Abstract

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 bon...Continue Reading

References

Nov 2, 2004·Ultrasound in Obstetrics & Gynecology : the Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology·J P Bruner, N Tulipan
Nov 30, 2007·Medical Image Computing and Computer-assisted Intervention : MICCAI·Gustavo CarneiroDorin Comaniciu
Sep 19, 2012·Fetal Diagnosis and Therapy·Selim BuyukkurtCansun Demir
Jan 1, 2015·Nature Reviews. Disease Primers·Andrew J CoppGary M Shaw
Jul 15, 2017·IEEE Transactions on Medical Imaging·Christian F BaumgartnerDaniel Rueckert

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