A computer-aided diagnosis approach for emphysema recognition in chest radiography

Medical Engineering and Physics

Volumn 35, Issue 1, 2013, Pages 63-73

  Coppini, Giuseppe ^a   Miniati, Massimo ^b   Monti, Simonetta ^a   Paterni, Marco ^a   Favilla, Riccardo ^a   Ferdeghini, Ezio Maria ^a  

^a INSTITUTE OF CLINICAL PHYSIOLOGY   (Italy)

^b UNIVERSITY OF FLORENCE   (Italy)

Author keywords

Chest radiography; Computer aided diagnosis (CAD) systems; Emphysema; Lung segmentation; Neural networks

Indexed keywords

AUTOMATIC SEGMENTATIONS; CAD SYSTEM; CHEST RADIOGRAPHY; CT IMAGING; DATA SETS; EMPHYSEMA; LUNG FIELDS; LUNG SEGMENTATION; MANUAL TRACING; POLYLINE APPROXIMATION; RADIOGRAPHIC STUDIES; SENSITIVITY AND SPECIFICITY; SIMILARITY COEFFICIENTS;

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; DATA PROCESSING; IMAGE SEGMENTATION; NEURAL NETWORKS;

DIAGNOSTIC RADIOGRAPHY;

ADULT; ANALYTIC METHOD; ANTERIOR POSTERIOR AXIS; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATION; COMPUTER AIDED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC TEST; DIGITAL RADIOGRAPHY; HUMAN; IMAGE DISPLAY; IMAGE QUALITY; LATERAL VIEW; LUNG EMPHYSEMA; MAJOR CLINICAL STUDY; POLYLINE APPROXIMATION; PRIORITY JOURNAL; PROBABILITY; QUALITY CONTROL; RADIOLOGICAL PARAMETERS; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY;

DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LUNG; MALE; PROBABILITY; PULMONARY EMPHYSEMA; RADIOGRAPHY, THORACIC;

EID: 84871508045     PISSN: 13504533     EISSN: 18734030     Source Type: Journal    
DOI: 10.1016/j.medengphy.2012.03.011     Document Type: Article

References (31)

1. Ciba Guest Symposium Report Terminology, definitions, and classification of chronic pulmonary emphysema and related conditions. Thorax 1959, 14:286-299.
2. Pratt P.C. Role of conventional chest radiography in diagnosis and exclusion of emphysema. Am J Med 1987, 82:998-1006.
3. Thurlbeck W.M., Müller N.L. Emphysema: definition, imaging, and quantification. Am J Roentgenol 1994, 163:1017-1025.
4. Sluimer I., Schilham A., Prokop M., van Ginneken B. Computer analysis of computed tomography scans of the lung: a survey. IEEE Trans Med Imaging 2006, 25:385-405.
5. Sutinen S., Christoforidis A.J., Klugh G.A., Pratt P.C. Roentgenologic criteria for the recognition of nonsymptomatic pulmonary emphysema. correlation between roentgenologic findings and pulmonary pathology. Am Rev Respir Dis 1965, 91:69-76.
6. Schaefer-Prokop C. Plain chest radiography: the digital revolution. Eur Respir Monit 2004, 30:23-38.
7. Miniati M., Monti S., Stolk J., Mirarchi G., Falaschi F., Rabinovich R., et al. Value of chest radiography in phenotyping chronic obstructive pulmonary disease. Eur Respir J 2008, 31:509-514.
8. Coppini G., Miniati M., Paterni M., Monti S., Ferdeghini E.M. Computer-aided diagnosis of emphysema in COPD patients: neural-network-based analysis of lung shape in digital chest radiographs. Med Eng Phys 2007, 29:78-86.
9. van Ginneken B., Hogeweg L., Prokop M. Computer-aided diagnosis in chest radiography: beyond nodules. Eur J Radiol 2009, 72:226-230.
10. Miniati M., Coppini G., Monti S., Bottai M., Paterni M., Ferdeghini E.M. Computer-aided recognition of emphysema on digital chest radiography. Eur J Radiol 2011, 80:e169-e175.
11. Li L., Zheng Kallergi Y.M., Clark R.A. Improved method for automatic identification of lung regions on chest radiographs. Acad Radiol 2001, 8:629-638.
12. Armato S.G.M.L., Giger K., MacMahon H. Automated lung segmentation in digitized posteroanterior chest radiographs. Acad Radiol 1998, 5:245-255.
13. Xu X.W., Doi K. Image feature analysis for computer-aided diagnosis: accurate determination of ribcage boundary in chest radiographs. Med Phys 1995, 22:617-626.
14. Xu X.W., Doi K. Image feature analysis for computer-aided diagnosis: detection of right and left hemidiaphragm edges and delineation of lung field in chest radiographs. Med Phys 1996, 23:1613-1624.
15. Duryea J., Boone J.M. A fully automatic algorithm for the segmentation of lung fields in digital chest radiographic images. Med Phys 1995, 22:183-191.
16. Brown M.S., Wilson L.S., Doust B.D., Gill R.W., Sun C. Knowledge-based method for segmentation and analysis of lung boundaries in chest X-rays images. Comput Med Imaging Graph 1998, 22:463-477.
17. McNitt-Gray M., Huang H., Sayre J. Feature selection in the pattern classification problem of digital chest radiograph segmentation. IEEE Trans Med Imaging 1995, 14:537-547.
18. Tsujii O., Freedman M.T., Mun S.K. Automated segmentation of anatomic regions in chest radiographs using an adaptive-sized hybrid neural network. Med Phys 1998, 6:998-1007.
19. Vittitoe N.F., Vargas-Voracek R., Floyd C.E. Identification of lung regions in chest radiographs using markov random field modeling. Med Phys 1998, 6:976-985.
20. Hasegawa A., Lo S.B., Lin J.S., Freedman M.T., Mun S.K. A shift-invariant neural network for the lung field segmentation in chest radiography. J VLSI Signal Proc 1998, 18:241-250.
21. van Ginneken B., ter Haar Romeny B.M. Automatic segmentation of lung fields in chest radiographs. Med Phys 2000, 10:2445-2455.
22. van Ginneken B., Frangi A., Staal J., ter Haar Romeny B., Viergever M. Active shape model segmentation with optimal features. IEEE Trans Med Imaging 2002, 21:924-933.
23. van Ginneken B., Stegmann M.B., Loog M. Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database. Med Image Anal 2006, 10:19-40.
24. Shi Yonghong, Qi Feihu, Xue Zhong, Chen Liya, Ito K., Matsuo H., et al. Segmenting lung fields in serial chest radiographs using both population-based and patient-specific shape statistics. IEEE Trans Med Imaging 2008, 27:481-494.
25. Shiraishi J., Katsuragawa S., Ikezoe J., Matsumoto T., Kobayashi T., Komatsu K., et al. Development of a digital image database for chest radiographs with and without a lung nodule: receiver operating characteristic analysis of radiologists detection of pulmonary nodules. Am J Roentgenol 2000, 174:71-74.
26. Armato S.G., Giger M.L., Ashizawa K., MacMahon H. Automated lung segmentation in digital lateral chest radiographs. Med Phys 1998, 25:1507-1520.
27. Carrascal F.M., Carreira J.M., Souto M., Tahoces P.G., Gómez L., Vidal J.J. Automatic calculation of total lung capacity from automatically traced lung boundaries in postero-anterior and lateral digital chest radiographs. Med Phys 1998, 25:1118-1131.
28. Kohonen T. Self-Organizing Maps 2001, Berlin, Springer.
29. Bishop C.M. Neural Networks for Pattern Recognition 1995, Oxford University Press, New York.
30. Obuchowski N.A., Lieber M.L. Confidence intervals for the receiver operating characteristic area in studies with small samples. Acad Radiol 1998, 5:561-571.
31. Harris T.R., Pratt P.C., Kilburn K.H. Total lung capacity measured by roentgenograms. Am J Med 1971.