计算机视觉
人工智能
计算机科学
透视
图像质量
图像分辨率
图像(数学)
计算机图形学(图像)
放射科
医学
作者
Ziv Yaniv,Leo Joskowicz
标识
DOI:10.1109/tmi.2003.819931
摘要
This paper presents a new method for creating a single panoramic image of a long bone from several individual fluoroscopic X-ray images. Panoramic images are useful preoperatively for diagnosis, and intraoperatively for long bone fragment alignment, for making anatomical measurements, and for documenting surgical outcomes. Our method composes individual overlapping images into an undistorted panoramic view that is the equivalent of a single X-ray image with a wide field of view. The correlations between the images are established from the graduations of a radiolucent ruler imaged alongside the long bone. Unlike existing methods, ours uses readily available hardware, requires a simple image acquisition protocol with minimal user input, and works with existing fluoroscopic C-arm units without modifications. It is robust and accurate, producing panoramas whose quality and spatial resolution is comparable to that of the individual images. The method has been successfully tested on in vitro and clinical cases.
科研通智能强力驱动
Strongly Powered by AbleSci AI