No abstract

In this paper, we propose a hybrid method for tracking a bronchoscope that uses a combination of magnetic sensor tracking and image registration. The position of a magnetic sensor placed in the working channel of the bronchoscope is provided by a magnetic tracking system. Because of respiratory motion, the magnetic sensor provides only the approximate position and orientation of the bronchoscope in the coordinate system of a CT image acquired before the examination. The sensor position and orientation is used as the starting point for an intensity-based registration between real bronchoscopic video images and virtual bronchoscopic images generated from the CT image. The output transformation of the image registration process is the position and orientation of the bronchoscope in the CT image. We tested the proposed method using a bronchial phantom model. Virtual breathing motion was generated to simulate respiratory motion. The proposed hybrid method successfully tracked the bronchoscope at a rate of approximately 1 Hz.

Assessment of long-axis systolic function by TDI and M-mode echocardiography enables estimation of LVEF even in patients with poor IQ.

Pulmonary blood vessels and nodules segmentation method based on local intensity structure analysis and front surface propagation were developed. The method was shown to be feasible for nodule detection and vessel extraction in chest CAD.

We present a case of a submucosal tumor in the stomach that was suspicious for malignancy on preoperative endosonography. The resected tumor was histologically diagnosed as a ductal adenocarcinoma that originated in ectopic pancreatic tissue in the gastric wall. Although malignant transformation in ectopic pancreas is extremely rare, it remains an important consideration in the differential diagnosis of gastric submucosal masses. © 1998 John Wiley & Sons, Inc. J Clin Ultrasound 26:265–268, 1998.