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使用掩码定位、选择和减法对感兴趣区域(ROI)荧光透视图像进行图像均衡化的方法。

Method for image equalization of ROI fluoroscopic images using mask localization, selection and subtraction.

作者信息

Fletcher L M, Rudin S, Bednarek D R

机构信息

Department of Biophysical Sciences, State University of New York at Buffalo, School of Medicine and Biomedical Sciences 14215, USA.

出版信息

Comput Med Imaging Graph. 1996 Mar-Apr;20(2):89-103. doi: 10.1016/0895-6111(96)00028-6.

DOI:10.1016/0895-6111(96)00028-6
PMID:8891426
Abstract

In region of interest (ROI) fluoroscopy, a filter is used to drastically reduce the X-ray dose to the patient peripheral to an ROI, and mask subtraction is used to equalize the displayed image brightness. Methods are described for an optimized search to locate the ROI and select or construct a mask image using a descriptor look up table (DLUT) based on ROI size, relative ROI/periphery brightness and ROI shape and orientation. After mask subtraction, the brightness values of the periphery are comparable to those of the ROI providing for equalized display. This method was tested successfully on 50 actual fluoroscopic images of two anthromorphic phantoms. The methodology developed for real-time applications was successfully simulated in PC code and full real-time implementation is underway.

摘要

在感兴趣区域(ROI)荧光检查中,使用一个滤波器大幅降低ROI周边患者所接受的X射线剂量,并使用掩模减法来均衡显示图像的亮度。描述了一些方法,用于通过基于ROI大小、ROI/周边相对亮度以及ROI形状和方向的描述符查找表(DLUT)进行优化搜索,以定位ROI并选择或构建掩模图像。在进行掩模减法后,周边的亮度值与ROI的亮度值相当,从而实现均衡显示。该方法在两个仿真人体模型的50张实际荧光图像上成功进行了测试。为实时应用开发的方法已在PC代码中成功模拟,并且正在进行完全实时的实现。

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