序列图像的研究:方向线上的灰度(位置)~时间函数重建及其应用。

The open medical informatics journal Pub Date : 2011-01-01 Epub Date: 2011-07-27 DOI:10.2174/1874431101105010038
Qiang Lin, Wei Li
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引用次数: 0

摘要

与语音、文本等其他信息载体相比,图像尤其是序列图像中蕴含着更多的有待开发的信息,特别是不同帧之间的相关、差异、时间关系等动态信息。这种动态信息对四维图像的分析有很大的帮助。本文提出了一种基于重建序列图像在方向线上的灰度(位置)~时间函数的动态信息检测方法,该方法在各种方向线上的设置上得到了广泛的分析和研究。该方法基于连续图像上呈现的运动。特别是,我们广泛研究的全方位m型超声心动图系统,将被描述为一种诊断心脏病的强大方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The research of sequential images: rebuilding of gray (position) ~ time function on direction lines and their applications.

The research of sequential images: rebuilding of gray (position) ~ time function on direction lines and their applications.

The research of sequential images: rebuilding of gray (position) ~ time function on direction lines and their applications.

The research of sequential images: rebuilding of gray (position) ~ time function on direction lines and their applications.

Contrasted with other information carriers, such as speech and text, images contains larger amount of information, especially in sequential images, that is waiting to be exploited, in particular the dynamic information of correlation, difference, and temporal relationship between different frames. This dynamic information contributes a great deal in analysis of 4D images. This paper proposes a method for detecting dynamic information from sequential images, based on the rebuilding of their gray (position)~time function on direction lines, an approach that has been analyzed and studied extensively on the setting of various direction lines. This method is based on motion that is presented on sequential images. In particular, the method, Omni directional M-mode Echocardiography system, which we have studied extensively, will be described leading to a robust way of diagnosing heart diseases.

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