Pulmonary CT image analysis and computer aided detection

被引：0

作者：

Sonka, M. ^{[1
]}

Tschirren, J.

Ukil, S.

Zhang, X.

Reinhardt, J. M.

van Beek, E. J.

McLennan, G.

Hofman, E. A.

机构：

[1] Univ Iowa, Dept Elect & Comp Engn, Biomed Engn, Internal Med,Radiol, Iowa City, IA 52242 USA

来源：

2007 4TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING : MACRO TO NANO, VOLS 1-3 | 2007年

关键词：

MDCT; CAD; pulmonary image analysis; airway trees; pulmonary parenchyma; texture; lobes;

D O I：

10.1109/ISBI.2007.356898

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This short article summarizes the use of current CT image data for a comprehensive assessment of pulmonary structure and function. It identifies the need for the development of highly automated methods and techniques allowing quantitative analysis of lungs, lung lobes, airway trees, and pulmonary parenchyma. Such analyses serve as the stepping stones for more sophisticated computer-aided detection approaches capable of parenchymal tissue characterization and identification of pulmonary nodules, some of which are discussed.

引用

页码：500 / +

页数：2

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