Computer-aided detection of lung nodules: Influence of the image reconstruction kernel for computer-aided detection performance

Journal of Computer Assisted Tomography

Volumn 34, Issue 1, 2010, Pages 31-34

  Hwang, Jiyoung ^a   Chung, Myung Jin ^a   Bae, Younga ^a   Shin, Kyung Min ^a   Jeong, Sun Young ^a   Lee, Kyung Soo ^a  

^a Sungkyunkwan University School of Medicine   (South Korea)

Author keywords

Combined kernel; Computer aided detection (CAD); CT reconstruction kernel

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; COMPUTERIZED TOMOGRAPHY; SENSITIVITY ANALYSIS;

COMBINED KERNELS; COMPUTER AIDED DETECTION; COMPUTER AIDED DETECTION SYSTEMS; COMPUTER-AIDED DETECTION; CT RECONSTRUCTION KERNEL; CT-RECONSTRUCTION; DETECTION OF LUNG NODULES; IMAGES RECONSTRUCTION; LUNG NODULES DETECTION; RECONSTRUCTION KERNEL;

IMAGE RECONSTRUCTION;

ADULT; AGED; ARTICLE; CANCER SCREENING; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; FEMALE; HUMAN; IMAGE RECONSTRUCTION; LUNG CANCER; LUNG NODULE; MALE; PRIORITY JOURNAL;

EID: 76449105648     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/RCT.0b013e3181b5c630     Document Type: Article

References (15)

1. Diederich S. Screening for early lung cancer with low-dose spiral computed tomography. Lancet. 2003;362:588-589.
2. Kaneko M, Eguchi K, Ohmatsu H, et al. Peripheral lung cancer: screening and detection with low-dose spiral CT versus radiography. Radiology. 1996;201:798-802.
3. Li F, Sone S, Abe H, et al. Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings. Radiology. 2002;225:673-683.
4. Goldin JG, Brown MS, Petkovska I. Computer-aided diagnosis in lung nodule assessment. J Thorac Imaging. 2008;23:97-104.
5. Wormanns D, Beyer F, Diederich S, et al. Diagnostic performance of a commercially available computer-aided diagnosis system for automatic detection of pulmonary nodules: comparison with single and double reading. Rofo. 2004;176:953-958.
6. Li Q. Recent progress in computer-aided diagnosis of lung nodules on thin-section CT. Comput Med Imaging Graph. 2007;31:248-257. (Pubitemid 46604787)
7. Armato SG 3rd, Altman MB, La Riviere PJ. Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm. Med Phys. 2003;30:461-472.
8. Gurung J, Maataoui A, Khan M, et al. Automated detection of lung nodules in multidetector CT: influence of different reconstruction protocols on performance of a software prototype. Rofo. 2006;178: 71-77.
9. Kim JS, Kim JH, Cho G, et al. Automated detection of pulmonary nodules on CT images: effect of section thickness and reconstruction intervalVinitial results. Radiology. 2005;236:295-299.
10. Strub WM, Weiss KL, Sun D. Hybrid reconstruction kernel: optimized chest CT. AJR Am J Roentgenol. 2007;189:W115YW116.
11. Judy PF, Swensson RG. Detection of small focal lesions in CT images: effects of reconstruction filters and visual display windows. Br J Radiol. 1985;58:137-145.
12. Wormanns D, Fiebich M, Saidi M, et al. Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system. Eur Radiol. 2002;12:1052-1057.
13. Bae KT, Kim JS, Na YH, et al. Pulmonary nodules: automated detection on CT images with morphologic matching algorithmVpreliminary results. Radiology. 2005;236:286-293.
14. Lee IJ, Gamsu G, Czum J, et al. Lung nodule detection on chest CT: evaluation of a computer-aided detection (CAD) system. Korean J Radiol. 2005;6:89-93.
15. Saba L, Caddeo G, Mallarini G. Computer-aided detection of pulmonary nodules in computed tomography: analysis and review of the literature. J Comput Assist Tomogr. 2007;31:611-619.