Registration of Intraoperative 3D Ultrasound with MR Data for the Navigated Computer Based Surgery

System architecture for intraoperative ultrasound registration in image-based medical navigation

“…However, we showed in previous work for different CT data [6,23], for MRI data of the knee [8], and in this work for MRI data of the spine that the visualization of the bone surface in subject and patient data is suffi cient to perform the registration task. Therefore, we are confi dent that the accuracy of in vivo registration is not much worse than on phantom data.…”

“…It was already demonstrated, both in phantoms and in vivo, that the algorithm achieves high registration success rates with acceptable computation times using realistic starting deviations [23]. The ultrasound-based registration was performed in previous work with CT data of the spine, knee, or shoulder [6,23] as well as with MRI data of, e.g., the head or the knee [8,21,22].…”

Three‐dimensional A‐mode ultrasound calibration and registration for robotic orthopaedic knee surgery

“…A threshold filter with a dynamic threshold based on 1.5 times the signal average was then used on the processed signal to determine unique peaks in portions that were contiguous and above the threshold. To get the most accurate results, the transducer should be normal to the target, so that the reflected ultrasound signal has the maximum strength and the distance between the ultrasound transducer and the bone remains minimal (15).…”

Statistical model based shape prediction from a combination of direct observations and various surrogates: Application to orthopaedic research

“…1 summarizes distance and angle-based predictors, while Fig. 2 shows areas typically observed using US imaging to perform computer-assisted surgery (Mozes et al, 2010;Dekomien et al, 2007;Barratt et al, 2008;Schumann et al, 2010), which we will consider as potential shape predictors. The morphological predictors are defined in more detail in B and C.…”