Application of the iris filter for automatic detection of pulmonary nodules on computed tomography images

Computers in Biology and Medicine

Volumn 39, Issue 10, 2009, Pages 921-933

  Suárez Cuenca, Jorge Juan ^a   Tahoces, Pablo G ^a   Souto, Miguel ^a   Lado, María J ^b   Remy Jardin, Martine ^c   Remy, Jacques ^c   José Vidal, Juan ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^b UNIVERSITY OF VIGO   (Spain)

^c LILLE UNIVERSITY HOSPITAL   (France)

Author keywords

3D iris filter; Computer aided diagnosis; Multidetector computed tomography (MDCT); Pulmonary nodule; Thin slice CT

Indexed keywords

3D IRIS FILTER; AUTOMATIC DETECTION; COMPUTED TOMOGRAPHY; CT IMAGE; CT SCAN; DATA SETS; FREE-RESPONSE RECEIVERS; GRAY LEVELS; HELICAL COMPUTED TOMOGRAPHIES; IRIS FILTER; LINEAR DISCRIMINANT ANALYSIS; MORPHOLOGICAL FEATURES; MULTIDETECTOR COMPUTED TOMOGRAPHY (MDCT); PULMONARY NODULE; PULMONARY NODULES; TEST SETS; THIN-SLICE CT;

COMPUTERIZED TOMOGRAPHY; DISCRIMINANT ANALYSIS; IMAGE PROCESSING; POSITRON EMISSION TOMOGRAPHY; THREE DIMENSIONAL;

COMPUTER AIDED DIAGNOSIS;

ARTICLE; AUTOANALYSIS; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; FILTER; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE RECONSTRUCTION; LABORATORY DIAGNOSIS; LINEAR SYSTEM; LUNG NODULE; PRIORITY JOURNAL; RADIOSENSITIVITY; RECEIVER OPERATING CHARACTERISTIC;

ALGORITHMS; AUTOMATION; DISCRIMINANT ANALYSIS; FALSE POSITIVE REACTIONS; HUMANS; LUNG NEOPLASMS; ROC CURVE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 68849115532     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2009.07.005     Document Type: Article

References (17)

1. Jemal A., Siegel R., Ward E., Hao Y., Xu J., Murray T., and Thun M.J. Cancer statistics. CA Cancer J. Clin. 58 (2008) 71-96
2. Winer-Muram H.T. The solitary pulmonary nodule. Radiology 239 1 (2006) 34-49
3. Remy-Jardin M., Remy J., Giraud F., and Marquette C.H. Pulmonary nodules: detection with thick-section spiral CT versus conventional CT. Radiology 187 (1993) 513-520
4. Hansell D.M., Bankier A.A., MacMahon H., McLoud T.C., Müller N.L., and Remy J. Fleischner Society: glossary of terms for thoracic imaging. Radiology 246 3 (2008) 697-722
5. Bellotti R., De Carlo F., Gargano G., Tangaro S., Cascio D., Catanzariti E., Cerello P., Cheran S.C., Delogu P., De Mitri I., Fulcheri C., Grosso D., Retico A., Squarcia S., Tommasi E., and Golosio B. A CAD system for nodule detection in low-dose lung CTs based on region growing and a new active contour model. Med. Phys. 34 12 (2007) 4901-4910
6. Gurcan M.N., Berkman S., Petrick N., Chan H.P., Kazerooni E.A., Cascade P.N., and Hadjiiski L. Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. Med. Phys. 29 11 (2002) 2552-2558
7. Suzuki K., Armato III S.G., Li F., Sone S., and Doi K. Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. Med. Phys. 30 7 (2003) 1602-1617
8. Nomura Y., Nemoto M., Masutani Y., Maeda E., Itoh H., Hanaoka S., Yoshikawa T., Hayashi N., Yoshioka N., and Ohtomo K. Computerized detection of pulmonary nodules based on dual classifiers for juxta-pleural and non-pleural nodules. Int. J. CARS 3 1 (2008) 186-187
9. Retico A., Delogu P., Fantacci M.E., Gori I., and Martinez A.P. Lung nodule detection in low-dose and thin-slice computed tomography. Comput. Biol. Med. 38 4 (2008) 525-534
10. Roy A.S., Armato III S.G., Wilson A., and Drukker K. Automated detection of lung nodules in CT scans: false-positive reduction with the radial-gradient index. Med. Phys. 33 4 (2006) 1133-1140
11. Kobatake H., and Hashimoto S. Convergence index filter for vector fields. IEEE Trans. Image Process. 8 8 (1999) 1029-1038
12. Varela C., Tahoces P.G., Méndez A.J., Souto M., and Vidal J.J. Computerized detection of breast masses in digitized mammograms. Comput. Biol. Med. 37 2 (2007) 214-226
13. Li Q., Sone S., and Doi K. Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans. Med. Phys. 30 8 (2003) 2040-2051
14. Kobatake H. A convergence index filter for vector fields and its application to medical image processing. Electron. Commun. Jpn. Part 3 89 2 (2006) 34-46
15. Souto M., Tahoces P.G., Suárez-Cuenca J.J., Lado M.J., Remy-Jardin M., Remy J., and Vidal J.J. Detección automática de nódulos pulmonares en tomografía computarizada, Un estudio preliminar. Radiología 50 (2008) 387-392
16. Suárez-Cuenca J.J., Tahoces P.G., Souto M., Lado M.J., Remy-Jardin M., Remy J., and Vidal J.J. Automated detection of lung nodules in helical CT: evaluation of feature analysis techniques. Int. J. CARS 3 1 (2008) 425-426
17. Das M., Mühlenbruch G., Mahnken A.H., Flohr T.G., Gündel L., Stanzel S., Kraus T., Günther R.W., and Wildberger J.E. Small pulmonary nodules: effect of two computer-aided detection systems on radiologist performance. Radiology 241 2 (2006) 564-571