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通过动态结构的因子分析对首次通过放射性核素心血管造影进行自动化处理。

Automated processing of first-pass radionuclide angiocardiography by factor analysis of dynamic structures.

作者信息

Cavailloles F, Bazin J P, Capderou A, Valette H, Herbert J L, Di Paola R

机构信息

Department of Nuclear Medicine, Hospital Bicétre, Le Kremlin-Bicétre, France.

出版信息

Nucl Med Commun. 1987 May;8(5):375-87. doi: 10.1097/00006231-198705000-00009.

Abstract

A method for automatic processing of cardiac first-pass radionuclide study is presented. This technique, factor analysis of dynamic structures (FADS) provides an automatic separation of anatomical structures according to their different temporal behaviour, even if they are superimposed. FADS has been applied to 76 studies. A description of factor patterns obtained in various pathological categories is presented. FADS provides easy diagnosis of shunts and tricuspid insufficiency. Quantitative information derived from the factors (cardiac output and mean transit time) were compared to those obtained by the region of interest method. Using FADS, a higher correlation with cardiac catheterization was found for cardiac output calculation. Thus compared to the ROI method, FADS presents obvious advantages: a good separation of overlapping cardiac chambers is obtained; this operator independant method provides more objective and reproducible results. A number of parameters of the cardio-pulmonary function can be assessed by first-pass radionuclide angiocardiography (RNA) [1,2]. Usually, they are calculated using time-activity curves (TAC) from regions of interest (ROI) drawn on the cardiac chambers and the lungs. This method has two main drawbacks: (1) the lack of inter and intra-observers reproducibility; (2) the problem of crosstalk which affects the evaluation of the cardio-pulmonary performance. The crosstalk on planar imaging is due to anatomical superimposition of the cardiac chambers and lungs. The activity measured in any ROI is the sum of the activity in several organs and 'decontamination' of the TAC cannot easily be performed using the ROI method [3]. Factor analysis of dynamic structures (FADS) [4,5] can solve the two problems mentioned above. It provides an automatic separation of anatomical structures according to their different temporal behaviour, even if they are superimposed. The resulting factors are estimates of the time evolution of the activity in each structure (underlying physiological components), and the associated factor images are estimates of the spatial distribution of each factor. The aim of this study was to assess the reliability of FADS in first pass RNA and compare the results to those obtained by the ROI method which is generally considered as the routine procedure.

摘要

本文介绍了一种用于心脏首次通过放射性核素研究的自动处理方法。该技术,即动态结构因子分析(FADS),可根据解剖结构不同的时间行为对其进行自动分离,即便它们相互重叠。FADS已应用于76项研究。文中给出了在各种病理类别中获得的因子模式描述。FADS可轻松诊断分流和三尖瓣关闭不全。将从因子中得出的定量信息(心输出量和平均通过时间)与通过感兴趣区域法获得的信息进行了比较。使用FADS,在心输出量计算方面发现与心导管检查具有更高的相关性。因此,与感兴趣区域法相比,FADS具有明显优势:可很好地分离重叠的心腔;这种独立于操作者的方法可提供更客观且可重复的结果。心肺功能的一些参数可通过首次通过放射性核素血管造影术(RNA)进行评估[1,2]。通常,这些参数是使用从心腔和肺部绘制的感兴趣区域(ROI)的时间 - 活性曲线(TAC)来计算的。该方法有两个主要缺点:(1)观察者间和观察者内缺乏可重复性;(2)串扰问题影响心肺功能评估。平面成像中的串扰是由于心腔和肺部的解剖结构重叠所致。在任何感兴趣区域测量的活性是几个器官中活性的总和,并且使用感兴趣区域法不容易对时间 - 活性曲线进行“净化”[3]。动态结构因子分析(FADS)[4,5]可解决上述两个问题。它可根据解剖结构不同的时间行为对其进行自动分离,即便它们相互重叠。所得因子是每个结构中活性的时间演变(潜在生理成分)的估计值,相关的因子图像是每个因子的空间分布的估计值。本研究的目的是评估FADS在首次通过RNA中的可靠性,并将结果与通常被视为常规程序的感兴趣区域法所获得的结果进行比较。

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