Purpose A new algorithm, based on fully convolutional networks (FCN), is proposed for the
automatic localization of the bone interface in ultrasound (US) images. The aim of this paper …

Purpose Ultrasound (US) provides real-time, two-/three-dimensional safe imaging. Due to
these capabilities, it is considered a safe alternative to intra-operative fluoroscopy in various …

Various imaging artifacts, low signal-to-noise ratio, and bone surfaces appearing several
millimeters in thickness have hindered the success of ultrasound (US) guided computer …

Purpose Automatic bone surfaces segmentation is one of the fundamental tasks of
ultrasound (US)-guided computer-assisted orthopedic surgery procedures. However, due to …

Background Minimally invasive surgical interventions performed using computer‐assisted
surgery (CAS) systems require reliable registration methods for pre‐operatively acquired …

The application of ultrasound (US) imaging in orthopedic surgery has always been a
research direction. However, the various problems of US imaging hinder the development of …

Current practice in orthopedic surgery relies on intraoperative fluoroscopy as the main
imaging modality for localization and visualization of bone tissue, fractures, implants and …

Intensity-invariant local phase features based on Log-Gabor filters have been recently
shown to produce highly accurate localizations of bone surfaces from three-dimensional (3 …

We present a novel method for bone structure segmentation in two-dimensional (2D)
ultrasound (US) images as a precursor to 3D bone surface reconstruction and registration …

Ultrasound (US) image guidance in orthopaedic surgery is emerging as a viable non-
invasive alternative to the currently dominant radiation-based modalities. Though it offers …