期刊
CANADIAN JOURNAL OF CARDIOLOGY
卷 38, 期 5, 页码 662-671出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.cjca.2022.02.020
关键词
-
There have been significant advancements in endovascular technology, with less invasive procedures being used for complex diseases while still relying on standard 2-dimensional fluoroscopy imaging. Improvements in imaging tools, such as flat-panel detectors and cone-beam computed tomography, have occurred to enhance the visualization of endovascular procedures. Fusion imaging, which overlays preoperative 3-dimensional computed tomographic images, is being used along with artificial intelligence and machine learning to independently adapt to changes during the procedures.
There have been significant advancements in endovascular technology over the past decade. Increasingly complex disease processes are being addressed in a less invasive fashion, while still relying on standard 2-dimensional greyscale fluoroscopy imaging to guide the procedures. With the advent of flat-panel detectors as standard on fluoroscopy units and the use of fluoroscopy cone-beam computed tomography, the development of improved imaging tools has occurred that will help improve the imaging modalities used to perform these endovascular procedures. Fusion imaging, the overlay of preoperative 3-dimensional computed tomographic images, helps interventionalists perform endovascular procedures. Building on this technology, improvements in its function and use have occurred with the additional application of artificial intelligence and machine learning, allowing the images to independently accommodate to changes in the visualised
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据