Abstract

Ultrasonography images have a high impact in the medical field for faster and accurate diagnosis of the diseases. The analysis and processing of ultrasound images is a tedious task. The proposed work focuses on automatic segmentation and analysis of renal calculi in digital ultrasound kidney images. The developed methodology includes steps such as preprocessing, segmentation and analysis. Preprocessing includes despeckling of input ultrasound images and is performed by using contourlet transform. Preprocessed images undergo automatic segmentation using the level set method. Analysis of the segmented stones is also carried out to obtain metrics such as the number of stones and their sizes. These metrics are essential to decide about the further plan of treatment by urologists and nephrologists. Performance of the developed algorithm is evaluated by the medical experts and also by using the various parameters such as dice similarity coefficient, Jaccard index, specificity, sensitivity, and accuracy.

中文翻译：

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超声图像中肾结石的自动分割与分析

摘要

超声图像在医学领域具有重大影响，可以更快，更准确地诊断疾病。超声图像的分析和处理是一项繁琐的任务。拟议的工作集中于数字超声肾脏图像中肾结石的自动分割和分析。所开发的方法包括诸如预处理，分割和分析之类的步骤。预处理包括对输入的超声图像进行去斑，并通过使用轮廓波变换执行。使用级别设置方法对预处理的图像进行自动分割。还对分段的结石进行分析以获得度量，例如结石的数量及其大小。这些指标对于决定泌尿科医师和肾脏科医师的进一步治疗计划至关重要。。