Cell tracking in cardiac repair: what to image and how to image

How to image cardiac amyloidosis.

Image-based Tracking Methods - Applications to Improved Motion Compensation in Cardiac MR and Image-Guided Surgery

In this dissertation, we present our efforts in developing algorithms in three related areas: 1) unified and optimal tracking, 2) improved motion compensation in cardiovascular MR, and 3) tool tracking in image-guided surgery. With the rapid advancement in the development of tracking algorithms over the years, the choice of tracking methods for a particular application has significantly increas...

New Method for Analysis of image sensor to produce and evaluate the image

In this paper, a new method for evaluating CMOS image sensors based on computer modeling and analysis is introduced. Image sensors are composed of different parts, each of which has a specific effect on image quality. Circuits of image sensors can be evaluated and analyzed using circuit simulators or theoretically, but these methods cannot help to produce the final image. In order to produce th...

Clutter Removal in Sonar Image Target Tracking Using PHD Filter

In this paper we have presented a new procedure for sonar image target tracking using PHD filter besides K-means algorithm in high density clutter environment. We have presented K-means as data clustering technique in this paper to estimate the location of targets. Sonar images target tracking is a very good sample of high clutter environment. As can be seen, PHD filter because of its special f...

How to optimize OCT image.

Quantization, which maps real values of raw data to a series of fixed gray levels, is an inevitable step in Optical Coherence Tomography (OCT) image formation. Three new quantization methods, Minimum Distortion, Information Expansion and Maximum Entropy are applied in the specific problem. Quantization results of a capillary with milk and the femoralis of rabbit are shown in this paper. Compari...