We present a method based on graphical models for the localization of corresponding anatomical landmarks in CT images of multiple patients for which only limited labeled training data is available. Our method mobilizes anatomical spatial relationships learnt from labeled training images in order to improve dense matching using weak landmark appearance descriptors. In this study, we report resul...

We describe an ad-hoc localization system for sensor networks and explain why traditional calibration methods are inadequate for this system. Building upon previous work, we frame calibration as a parameter estimation problem; we parameterize each device and choose the values of those parameters that optimize the overall system performance. This method reduces our average error from 74.6% witho...

Cognitive radio sensor networks (CRSNs), is a fusion network combining wireless sensor network (WSN) with cognitive radio, undergo radio resource starvation under condition where it is densely deployed and primary user (PU) communications are concentrated. To overcome this problem, we propose a received signal strength (RSS)-based PU localization scheme using the Kalman filter to reduce noise p...

The purpose of this study is to evaluate the 3-dimensional target localization accuracy of cone-beam computed tomography (CBCT) using an on-board imager (OBI). An anthropomorphic pelvis phantom was used to simulate a range of offsets in the three translational directions and rotations around each of the three axes. After a translational or rotational offset was applied, a CBCT scan of the phant...

Minimally invasive image guided interventions are an attractive option for localized therapy delivery and diagnostic biopsy. We have developed a method for CT guided needle placement, based upon the Brown-Roberts -Wells frame, which requires no immobilization or fiducial implantation. A localization module, placed on a needle holding robotic end effector, allows for localization of the effector...

Investigation of heterogeneous cellular structures using single-molecule localization microscopy has been limited by poorly defined localization accuracy and inadequate multiplexing capacity. Using fluorescent nanodiamonds as fiducial markers, we define and achieve localization precision required for single-molecule accuracy in dSTORM images. Coupled with this advance, our new multiplexing stra...

In this paper we extend our previous results on WiFi and image localization to include magnetic sensing for multimodal indoor localization. A two-step process is proposed that performs an initial localization estimate, followed by particle filter based tracking. Initial localization is performed using WiFi and image observations. For tracking we fuse information from WiFi, magnetic, and inertia...

This article presents a hybrid scheme for 3-D localization in mobile Wireless Multimedia Sensor Networks. For minimizing the localization error, this paper proposes efficient trajectory estimation patterns and periodic calibration of nodes’ position. Within this hybrid solution, that uses inertial measurements for location determination, the nodes’ position is periodically validated using an an...

The ratio-type estimators have been introduced for estimating the mean and total population, but in recent years based on the ratio methods several estimators for population variance have been proposed. In this paper two families of estimators have been suggested and their approximation mean square error (MSE) have been developed. In addition, the efficiency of these variance estimators are com...