Osteosarcoma (osteogenic sarcoma: OS) is the most common primary malignant bone tumor of long bones, whereas primary osteosarcoma of chest wall, especially in sternum, is extremely rare. We report a 57-year-old man with an immobile slow growing mass located in the middle of the sternum. The patient had no significant pain or tenderness and the past medical history was not remarkable. CT-scan sh...

BACKGROUND Defining tumour volume for treatment response and radiotherapy planning is challenging and prone to inter- and intra-observer variability. Various automated tumour delineation methods have been proposed in the literature, each having abilities and limitations. Therefore, there is a need to provide clinicians with practical information on delineation method selection. METHODS Six di...

Computed tomography (CT) images of the lungs provide high resolution views of the airways. Quantitative measurements such as lumen diameter and wall thickness help diagnose and localize airway diseases, assist in surgical planning, and determine progress of treatment. Automated quantitative analysis of such images is needed due to the number of airways per patient. We present an approach involv...

Target detection is important content in Synthetic Aperture Radar (SAR) image applications. There is a common target detection method, which is called the Constant False Alarm Ratio (CFAR) detector. But it must satisfy the condition under strong contrast ratio between target area and background clutter area. In fact, it is very difficult for SAR images to satisfy the condition. In order to enha...

Two types of angular rotation deviations are observed in our optical CT scanner for gel dosimetry: a large deviation at the starting position, and small deviations during the scanning. In order to investigate the influence of these angular rotation deviations on the reconstructed OD maps, we applied the angular deviations on a synthetic phantom for optical CT simulation. Meanwhile, three recons...

A number of interrelated factors can affect the precision and accuracy of lung nodule size estimation. To quantify the effect of these factors, we have been conducting phantom CT studies using an anthropomorphic thoracic phantom containing a vasculature insert to which synthetic nodules were inserted or attached. Ten repeat scans were acquired on different multi-detector scanners, using several...

Fusion between an endoscopic movie and a CT can aid specifying the tumor target volume for radiotherapy. That requires a deformable pharyngeal surface registration between a 3D endoscope reconstruction and a CT segmentation. In this paper, we propose to use local geometric features for deriving a set of initial correspondences between two surfaces, with which an association graph can be constru...

The Maximum Likelihood Probabilistic Data Association (ML-PDA) tracker and the Maximum Likelihood Probabilistic Multi-Hypothesis (ML-PMHT) tracker were applied to five synthetic multistatic active sonar scenarios featuring multiple targets, multiple sources, and multiple receivers. For each of the scenarios, Monte Carlo testing was performed to quantify the performance differences between the t...

INTRODUCTION The goal of this investigation was to compare fusion of sequential cone beam computerized tomography (CT) volumes to the gold standard (fiducial registration) in order to be able to analyze clinical cochlear implant (CI) migration with high accuracy in three dimensions. MATERIALS AND METHODS Paired cone beam CT volumes were performed on five human cadaver temporal bones and one h...

An automatic approach to contour segmentation of Computed Tomography (CT) images is presented in this work. Image segmentation is achieved by means of the snake algorithm and the dynamic programming (DP) optimization technique. Based upon the Vector field convolution (VFC), a new strategy for contour points initialization and splitting is presented. Contour initialization is carried out from VF...