Parametric imaging in salivary gland scintigraphy

参数统计 人工智能 感兴趣区域 计算机科学 像素 减法 工件(错误) 分割 计算机视觉 可视化 图像分割 背景减法 模式识别(心理学) 数学 统计 算术
作者
Rogério Anton Faria,Graziella Chagas Jaguar,Eduardo Nóbrega Pereira Lima
出处
期刊:Nuclear Medicine Communications [Lippincott Williams & Wilkins]
标识
DOI:10.1097/mnm.0000000000001901
摘要

Salivary gland scintigraphy (SGS) is an imaging technique to evaluate functional aspects of the salivary glands. First described in 1965, visual analyses of summed images and of time–activity curves generated through regions of interest (ROI) are still the main evaluation tools used in clinical practice. An alternative to ROI-based analysis is the use of parametric images, which are images generated through pixel-by-pixel calculation of parameters from the original frames. In this article, we would like to present some parametric images for SGS studies and how to create and use them. Two images, vascular flow and uptake velocity, were created using the intercept and slope of a linear model of the frames from after the first to fifth minute of acquisition. And two others, excretion fraction and absolute excretion, by subtraction and division methods of the frames before and after sialogogue stimulation. These images allow the visualization of the spatial distribution and heterogeneity of these quantitative parameters, favoring different forms of analysis and helping with image segmentation. After more than a year of using these images in daily routine, our general impression is that they have been very helpful. This article, however, still represents only our early experiences with this technique, and clinical studies are yet needed to better evaluate this method.

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