Detection and severity scoring of chronic obstructive pulmonary disease using volumetric analysis of lung ct images

Iranian Journal of Radiology

Volumn 9, Issue 1, 2012, Pages 255-260

  Hosseini, Mohammad Parsa ^a   Soltanian Zadeh, Hamidreza ^b,c   Akhlaghpoor, Shahram ^d  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b HENRY FORD HEALTH SYSTEM   (United States)

^c UNIVERSITY OF TEHRAN   (Iran)

^d TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

Chronic obstructive diagnosis; Computer assisted tomography; Pulmonary disease; X ray computed lung

Indexed keywords

ADULT; AGED; ARTICLE; CHRONIC OBSTRUCTIVE LUNG DISEASE; CLINICAL ARTICLE; CLINICAL EVALUATION; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC IMAGING; DISEASE SEVERITY; EXPIRATORY RESERVE VOLUME; FEMALE; HUMAN; INSPIRATORY CAPACITY; LUNG COMPLIANCE; MALE; PREDICTIVE VALUE; QUANTITATIVE ANALYSIS; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; THORAX RADIOGRAPHY; THREE DIMENSIONAL IMAGING;

EID: 84863456685     PISSN: 17351065     EISSN: 20082711     Source Type: Journal    
DOI: 10.581/irnjradio.6759     Document Type: Article

References (23)

1. Ley-Zaporozhan J, Kauczor HU, Ley S. Magnetic Resonance Imaging of Pulmonary Diseases. Imaging Decis MRI. 2009;13(1):2-10.
2. COPD. [cited July 11, 2010]; Available from: http://www.emedicinehealth.com/script/main/hp.asp.
3. COPD Statistical Information. [cited July 11, 2010]; Available from: http://www.copd-international.com/library/.
4. Van Beek EJR, Hoffman EA. Imaging in COPD. Imaging Decis MRI. 2009;13(1):11-7.
5. Flaherty KR. Idiopathic Pulmonary Fibrosis: The Importance of Qualitative and Quantitative Phenotyping. Imaging Decis MRI. 2009;13(1):18-23.
6. Hu S, Hoffman EA, Reinhardt JM. Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Trans Med Imaging. 2001;20(6):490-8.
7. Doi K. Computer-aided diagnosis in medical imaging: historical review, current status and future potential. Comput Med Imaging Graph. 2007;31(4-5):198-211.
8. Hosseini MP, Soltanian-Zadeh H, Akhlaghpoor S. Computer-Aided diagnosis system for the evaluation of chronic obstructive pulmonary disease on CT Images. Tehran Univ Med J. 2011;68(12).
9. Hosseini MP, Soltanian-Zadeh H, Akhlaghpoor S, editors. Assessing Lung Volumetric Variation to Detect and Stage COPD; 2011.
10. Lakare S. 3D Segmentation Techniques for Medical Volumes. State University of New York at Stony Brook; [cited 14 Dec 2000]; Available from: http://www.cs.sunysb.edu/~mueller/teaching/cse616/sarangRPE.pdf.
11. Kass M, Witkin A, Terzopoulos D. Snakes: Active contour models. Int J Comput Vis. 1988;1(4):321-31.
12. Xu C, Prince JL. Generalized gradient vector flow external forces for active contours1. Signal Process. 1998;71(2):131-9.
13. Choi S, Kim C. Automatic Initialization Active Contour Model for the Segmentation of the Chest Wall on Chest CT. Healthc Inform Res. 2010;16(1):36-45.
14. Lai J, Ye M, editors. Active Contour Based Lung Field Segmentation; 2009. IEEE.
15. Iakovidis DK, Savelonas M, editors. Active shape model aided by selective thresholding for lung field segmentation in chest radiographs; 2009. IEEE.
16. Meng L, Zhao H, editors. A New Lung Segmentation Algorithm for Pathological CT Images; 2009. IEEE.
17. Kavitha A, Sujatha C, Ramakrishnan S. Prediction of Spirometric Forced Expiratory Volume (FEV 1) Data Using Support Vector Regression. Meas Sci Rev. 2010;10(2):63-7.
18. Atlas of anatomy at University of Michigan, Cast of trachea and bronchi. [cited 24 Aug 2011]; Available from: http://www.med.umich.edu/lrc/coursepages/M1/anatomy/html/atlas/lung_carina.html.
19. Stork EDH, Duda RO, Hart PE, Stork DG. Pattern Classification. New York [u.a.]: Academic Internet Publishers; 2006.
20. Webb AR. Statistical Pattern Recognition. Hoboken: John Wiley & Sons; 2011.
21. Hosseini MP, Soltanian-Zadeh H, Akhlaghpoor S, Behrad A, editors. A new scheme for evaluation of air-trapping in CT images; 2010. IEEE.
22. Hosseini MP, Soltanian-Zadeh H, Akhlaghpoor S, editors. A Novel Method for Identification of COPD in Inspiratory and Expiratory States of CT Images; 2011.
23. Coppini G, Miniati M, Paterni M, Monti S, Ferdeghini EM. Computer-aided diagnosis of emphysema in COPD patients: neural-network-based analysis of lung shape in digital chest radiographs. Med Eng Phys. 2007; 29(1):76-86.