Automatic Image Alignment in a Vein Contrast Enhancement System
The purpose of this project is to present a method of automatic image alignment for a Vein Contrast Enhancement (VCE) system. The VCE System captures vein images using infrared light, enhances the contrast of veins on these images and projects them back onto the patient’s skin for vein puncture, which requires a highly precise alignment procedure. For image alignment, a four-point phantom with known point positions is projected onto a focus plane and a phantom image is acquired using an infrared sensitive CCD camera. Alignment parameters such as translation, magnification and rotation can be calculated by the comparison between the original phantom and acquired image. These alignment parameters are then applied to the captured vein images, which are projected back onto patients’ arms to accurately overlay the corresponding veins under the skin. Results show the high accuracy of automatic alignment, which meets the requirement set for the VCE system. The maximum misalignment is within one pixel, which is less than 0.1 millimeter in the physical environment.
Yong Zhang
University of Tennessee Health Science Center St. Jude Childrens Research Hospital Memphis, TN, USA
国际会议
The 31st International Congress on Imaging Science(第31届国际影像科学大会 ICIS2010)
北京
英文
557-560
2010-05-12（万方平台首次上网日期，不代表论文的发表时间）