Aspects of computer-aided detection (CAD) and volumetry of pulmonary nodules using multislice CT

被引:65
作者
Wiemker, R
Rogalla, P
Blaffert, T
Sifri, D
Hay, O
Shah, E
Truyen, R
Fleiter, T
机构
[1] Philips Res Labs, Hamburg, Germany
[2] Humboldt Univ, Charite Hosp, Dept Radiol, Berlin, Germany
[3] Philips Med Syst CT, Haifa, Israel
[4] Philips Med Syst CT Clin Sci, Cleveland, OH USA
[5] Philips Med Syst Med IT, Best, Netherlands
[6] Univ Hosp Cleveland, Cleveland, OH 44106 USA
关键词
HIGH-RESOLUTION CT; EARLY LUNG-CANCER; AUTOMATIC DETECTION; ASSISTED DETECTION; CLASSIFICATION; SEGMENTATION; REGISTRATION; ENHANCEMENT; TOMOGRAPHY; DIAGNOSIS;
D O I
10.1259/bjr/30281702
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
With the superb spatial resolution of modern multislice CT scanners and their ability to complete a thoracic scan within one breath-hold, software algorithms for computer-aided detection (CAD) of pulmonary nodules are now reaching high sensitivity levels at moderate false positive rates. A number of pilot studies have shown that CAD modules can successfully find overlooked pulmonary nodules and serve as a powerful tool for diagnostic quality assurance. Equally important are tools for fast and accurate three-dimensional volume measurement of detected nodules. These allow monitoring of nodule growth between follow-up examinations for differential diagnosis and response to oncological therapy. Owing to decreasing partial volume effect, nodule volumetry is more accurate with high resolution CT data. Several studies have shown the feasibility and robustness of automated matching of corresponding nodule pairs between follow-up examinations. Fast and automated growth rate monitoring with only few reader interactions also adds to diagnostic quality assurance.
引用
收藏
页码:S46 / S56
页数:11
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