基于特征点映射的肺CT图像感兴趣区域检索

Suhani Sengar, Aishwarya Anand, Mansi Sharma, Parthasarathi Mangipudi
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引用次数: 0

摘要

本文针对肺部CT图像数据库中的一个查询病例,提出了一种检索相似病理病例的新方法。考虑建立肺腺癌CT扫描图像切片数据库进行实验。基本方法是设计一个框架,允许用户输入二维肺CT切片作为查询图像,并从肺图像病例数据库中输出视觉上相似的病理图像。特征点映射用于表示感兴趣的区域。利用倒角距离变换来评价检索框架的相似度。快速检索相似的病理病例切片可以根据检索到的扫描的患者病史帮助诊断和治疗新受试者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Region-of-interest retrieval in lung CT images using feature point maps
In this paper, we present a novel method for retrieval of similar pathological cases in response to a query case in lung CT image database. A database of CT scan image slices of lung Adenocarcinoma is considered for experiments. The basic approach is to devise a framework, which lets a user input a 2D lung CT slice as a query image and output visually similar pathological images from the lung image case database. Feature point maps are used to represent the region-of-interest. Chamfer distance transform has been used as a measure to evaluate similarity for retrieval framework. The retrieval of similar pathological case slices in a quick time can aid the diagnosis and treatment of a new subject based on patient histories of the retrieved scans.
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