Amrut Sarangi, Nilay Vora, and George Youssef
Annually, spinal fusion surgery is performed about a half-million times in the United States alone. The applications of the surgery range from correcting scoliosis to spinal fractures. Spinal fusion surgeries help to reduce pain and discomfort for a large subset of individuals with vertebral pathologies. The complexity of post-procedural recovery has led to the forging of new innovations that favor minimally invasive surgeries. Ultrasonography is a cost-effective imaging modality that is able to provide real-time data without exposing patients to radiation. Current application of ultrasound (US) had shown to provide cross-sectional images that rivals and surpasses competitive modalities such as computed tomography (CT) or magnetic resonance imaging (MRI). The acquired data itself can be interpreted by various experts to present different information. This work explores the use of an automated bone shadow enhancement method. Use of this method will provide clinicians with an enhanced view of the vertebral bone surface without the variability of human error. This work will present the use of a MATLAB based Guided User Interface (GUI) capable of outputting a segmented image, and a combined overlay image with thresholding options and manual segmentation options. The GUI will be useful in the augmentation of manual bone segmentation from US using bone shadow enhancement. Ultimately, the goal of this work is to provide clinicians with a single software capable of providing real-time bone shadow enhancement during spinal surgeries.