New method for detection of pulmonary nodules

Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (23): 198-199.

• 工程与应用 • Previous Articles Next Articles

New method for detection of pulmonary nodules

GAO Yuan-yuan¹，LV Qing-wen¹，GUO Hong²，FENG Qian-jin¹，CHEN Wu-fan¹

1.School of Biomedical Engineering，Southern Medical University，Guangzhou 510515，China
2.Department of Radiology，General Hospital of Tianjin Medical University，Tianjin 300052，China

Received:1900-01-01 Revised:1900-01-01 Online:2007-08-11 Published:2007-08-11
Contact: GAO Yuan-yuan

一种新的肺结节检测算法

高园园¹，吕庆文¹，郭宏²，冯前进¹，陈武凡¹

1.南方医科大学生物医学工程学院，广州 510515
2.天津医科大学总医院放射科，天津 300052

通讯作者: 高园园

Abstract

Abstract: In order to find the pulmonary nodules at the early stage of lung cancer or in duty check，we must detect the pulmonary nodules quickly and completely，especially to the small nodules which are always omitted by doctors.A new TMH（Template-Matching with Hessian matrix） method is proposed in this paper.Firstly lung lobes are gained.Then TM（Template-Matching method） is used to detect the pulmonary nodules.At last the Hessian matrix is imported to the method.TMH method has been proved to be quick，complete and low true positive rate.

Key words: pulmonary nodule, Template-Matching（TM）, Hessian matrix, Template-Matching with Hessian matrix（TMH）

摘要： 为了能够在肺癌早期或者例行体检时及时发现肺部结节灶，临床上要求能够对肺结节进行全面迅速的检测。提出了一种新的肺结节检测算法——TMH（引入了Hessian矩阵的模版匹配）算法。该算法首先获取肺实质;然后在二维层面上采用模版匹配方法（Template-Matching，TM）对结节进行检测;最后引入Hessian矩阵，有效降低了原TM算法的假阳率，实验证明该算法能够快速检测出肺结节，且假阳率较小。

关键词: 肺结节, 模版匹配, Hessian矩阵, TMH算法

GAO Yuan-yuan¹，LV Qing-wen¹，GUO Hong²，FENG Qian-jin¹，CHEN Wu-fan¹. New method for detection of pulmonary nodules[J]. Computer Engineering and Applications, 2007, 43(23): 198-199.

高园园¹，吕庆文¹，郭宏²，冯前进¹，陈武凡¹. 一种新的肺结节检测算法[J]. 计算机工程与应用, 2007, 43(23): 198-199.

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New method for detection of pulmonary nodules

一种新的肺结节检测算法

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