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CT窗口融合算法的临床应用:RADIO(相对衰减依赖图像叠加)

Clinical Applications of a CT Window Blending Algorithm: RADIO (Relative Attenuation-Dependent Image Overlay).

作者信息

Mandell Jacob C, Khurana Bharti, Folio Les R, Hyun Hyewon, Smith Stacy E, Dunne Ruth M, Andriole Katherine P

机构信息

Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, 02115, USA.

Division of Emergency Radiology, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

出版信息

J Digit Imaging. 2017 Jun;30(3):358-368. doi: 10.1007/s10278-017-9941-1.

Abstract

A methodology is described using Adobe Photoshop and Adobe Extendscript to process DICOM images with a Relative Attenuation-Dependent Image Overlay (RADIO) algorithm to visualize the full dynamic range of CT in one view, without requiring a change in window and level settings. The potential clinical uses for such an algorithm are described in a pictorial overview, including applications in emergency radiology, oncologic imaging, and nuclear medicine and molecular imaging.

摘要

本文描述了一种使用Adobe Photoshop和Adobe Extendscript,通过相对衰减依赖图像叠加(RADIO)算法处理DICOM图像的方法,该方法可在不改变窗宽和窗位设置的情况下,在一个视图中可视化CT的全动态范围。这种算法的潜在临床应用在一个图示综述中进行了描述,包括在急诊放射学、肿瘤成像、核医学和分子成像中的应用。

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