Usual interstitial pneumonia: Quantitative assessment of high- resolution computed tomography findings by computer-assisted texture-based image analysis

Investigative Radiology

Volumn 32, Issue 9, 1997, Pages 566-574

  Delorme, Stefan ^a   Keller Reichenbecher, Mark Aleksi ^a   Zuna, Ivan ^a   Schlegel, Wolfgang ^a   Van Kaick, Gerhard ^a  

^a GERMAN CANCER RESEARCH CENTER DKFZ   (Germany)

Author keywords

Computers, diagnostic aid; High resolution computed tomography; Lung fibrosis; Texture analysis

Indexed keywords

ADULT; ARTICLE; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC IMAGING; FEMALE; HIGH RESOLUTION COMPUTER TOMOGRAPHY; HUMAN; IMAGE ANALYSIS; INTERSTITIAL PNEUMONIA; LUNG FIBROSIS; MALE; PRIORITY JOURNAL; RADIODIAGNOSIS;

EID: 0031461184     PISSN: 00209996     EISSN: None     Source Type: Journal    
DOI: 10.1097/00004424-199709000-00009     Document Type: Article

References (19)

1. Terriff BA, Kwan SY, Chan-Yeung M, Müller NL. Fibrosing alveolitis: Chest radiography and CT as predictors of clinical and functional impairment at follow-up in 26 patients. Radiology 1992;184:445-449.
2. Lee LS, Sm J-G, Ahn JM, Kim YM, Man MC. Fibrosing alveolitis: Prognostic implication of ground-glass attenuation at high-resolution CT, Radiology 1992;184:451-454.
3. Kalender WA, Fichte H. Semiautomatic evaluation procedures for quantitative CT of the lung. J Comp Assist Tomogr 1991; 15(2):248-255.
4. Kalender WA, Rienmüller RK, Seissler W, Behr J, Welke M, Fichte H. Measurement of pulmonary parenchymal attenuation: Use of spirometric gating with quantitative CT. Radiology 1990; 175:265-268
5. Wegener OH, Koeppe P. Measurement of lung density by computed tomography. J Comp Assist Tomogr 1979;2:263-273.
6. Rienmüller RK, Behr J, Kalender WA, et al. Standardized quantitative high resolution CT in lung diseases. J Comp Assist Tomogr 1991;15:742-749.
7. Archer DC, Coblentz CL, deKemp R, Nahmias C, Norman G. Automated in vivo quantification of emphysema. Radiology 1993; 188:835-858.
8. Räth U, Schlaps D, Limberg B, et al. Diagnostic accuracy of computerized B-scan texture analysis and conventional ultrasonography in diffuse parenchymal and malignant liver disease. J Clin Ultrasound 1985;13:87-99.
9. Dasarathy BV, Holder EB. Image characterization based on joint grey-level-run-length distributions. Pattern Rec Letters 1991; 12:497-502.
10. Haralick RM, Shanmugam K, Dinstein I. Textural features for image classification. IEEE Trans Syst Man Cybernet 1973; 3(6):610-622.
11. Pross J. Tool for manual segmentation of volumes in multi-modality 3D imaging. In: Minet P. ed. Three-dimensional treatment planning. Liege, Belgium: European Association of Radiology. 1993.
12. Jähne B. Digital image processing. Berlin, Heifelberg: Springer, 1991.
13. Procedure DISCRIM. SAS/STATS users guide. Version 6. 4th ed. Cary, NC: The SAS Institute, 1989:677-772.
14. Procedure STEPDISC. SAS/STATS users guide. Version 6. 4th ed. Cary, NC: The SAS Institute, 1989.
15. Procedure FACTOR. SAS/STATS users guide. Version 6. 4th ed. Cary, NC: The SAS Institute, 1989.
16. Remy-Jardin M, Giraud F, Remy J, Copin MC, Gosselin B, Duhamel A. Importance of ground-glass attenuation in chronic diffuse infiltrative lung disease: Pathologic-CT correlation. Radiology 1993;189:693-698.
17. Schlaps D, Zuna I, Walz M, et al. Ultrasonic tissue characterization by texture analysis: Elimination of tissue-independent factors. In: Ferrari LA, ed. Proceedings of SPIE - The International Society for Optical Engineering. Vol 768. International symposium on pattern recognition and acoustical imaging. 1987:128-143.
18. Foley DH. Consideration of sample and feature size, IEEE Trans Inf Theory 1972;18:618-626.
19. Haralick RM. Statistical and structural approaches to texture. Proc IEEE 1979;67(5):786-804.