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临床实践中基于内容的图像检索原型。

Prototypes for content-based image retrieval in clinical practice.

作者信息

Depeursinge Adrien, Fischer Benedikt, Müller Henning, Deserno Thomas M

机构信息

Business Information Systems, University of Applied Sciences Western Switzerland (HES-SO), TechnoArk 3, 3960 Sierre, Switzerland.

出版信息

Open Med Inform J. 2011;5(Suppl 1):58-72. doi: 10.2174/1874431101105010058. Epub 2011 Jul 27.

DOI:10.2174/1874431101105010058
PMID:21892374
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3149811/
Abstract

Content-based image retrieval (CBIR) has been proposed as key technology for computer-aided diagnostics (CAD). This paper reviews the state of the art and future challenges in CBIR for CAD applied to clinical practice.We define applicability to clinical practice by having recently demonstrated the CBIR system on one of the CAD demonstration workshops held at international conferences, such as SPIE Medical Imaging, CARS, SIIM, RSNA, and IEEE ISBI. From 2009 to 2011, the programs of CADdemo@CARS and the CAD Demonstration Workshop at SPIE Medical Imaging were sought for the key word "retrieval" in the title. The systems identified were analyzed and compared according to the hierarchy of gaps for CBIR systems.In total, 70 software demonstrations were analyzed. 5 systems were identified meeting the criterions. The fields of application are (i) bone age assessment, (ii) bone fractures, (iii) interstitial lung diseases, and (iv) mammography. Bridging the particular gaps of semantics, feature extraction, feature structure, and evaluation have been addressed most frequently.In specific application domains, CBIR technology is available for clinical practice. While system development has mainly focused on bridging content and feature gaps, performance and usability have become increasingly important. The evaluation must be based on a larger set of reference data, and workflow integration must be achieved before CBIR-CAD is really established in clinical practice.

摘要

基于内容的图像检索(CBIR)已被提出作为计算机辅助诊断(CAD)的关键技术。本文综述了应用于临床实践的CAD中CBIR的技术现状和未来挑战。我们通过最近在国际会议(如SPIE医学成像、CARS、SIIM、RSNA和IEEE ISBI)举办的CAD演示研讨会上展示CBIR系统来定义其对临床实践的适用性。从2009年到2011年,在CARS的CADdemo和SPIE医学成像的CAD演示研讨会的程序中搜索标题中带有“检索”一词的内容。根据CBIR系统的差距层次对识别出的系统进行分析和比较。总共分析了70个软件演示。确定了5个符合标准的系统。应用领域包括:(i)骨龄评估,(ii)骨折,(iii)间质性肺疾病,以及(iv)乳腺摄影。弥合语义、特征提取、特征结构和评估等特定差距的研究最为频繁。在特定应用领域,CBIR技术可用于临床实践。虽然系统开发主要集中在弥合内容和特征差距,但性能和可用性变得越来越重要。评估必须基于更大的参考数据集,并且在CBIR-CAD真正在临床实践中确立之前必须实现工作流程整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4028/3149811/362d844988a5/TOMINFOJ-5-58_F7.jpg
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