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Computer Aided Detection and Measurement of Abdominal Aortic Aneurysm Using Computed Tomography Digital Images

机译:计算机辅助检测和测量腹主动脉瘤使用计算机断层扫描数字图像

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Computer-aided detection (CAD) systems, which automatically detect and indicate location of potential abnormalities in scan digital images, have the capacity to increase the accuracy of the radiologists’ interpretations and finding. This paper presents an efficient new CAD .for automatic and accurate detection and quantification of Abdominal Aortic Aneurysm (AAA). The system first detects and extracts the lumen and then identifies the location of the abdominal aortic from the total lumen. The extracted abdominal aortic lumen is then used as an initial surface to segment the abdominal aorta which might contain aneurysm. The geometrical and morphological features of both lumen and aorta are examined for the presence of aneurysm based on predefined criteria set by incorporating prior understanding of the normal expected variation of aorta. The experimental result of the proposed system on 60 CTA datasets indicated a 98% success in detection (CAD) and a 95% in segmentation results (CAM).
机译:计算机辅助检测(CAD)系统,自动检测和指示扫描数字图像中潜在异常的位置,具有提高放射科学家解释和发现的准确性的能力。本文提出了一种高效的新CAD。对于腹主动脉瘤(AAA)的自动和准确检测和定量。系统首先检测并提取内腔,然后从总腔中识别腹主动脉的位置。然后将提取的腹主动脉内腔用作初始表面以将可能含有动脉瘤的腹主动脉分段。通过在先前了解主动脉的正常预期变异的情况下,检查内腔和主动脉的几何和形态学特征,用于基于预定标准的动脉瘤存在。在60cTA数据集上提出的系统的实验结果表明,检测(CAD)成功98%,分段结果(CAM)中的95%。

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