Wavelet compression of low-dose chest CT data: Effect on lung nodule detection

Radiology

Volumn 228, Issue 1, 2003, Pages 70-75

  Ko, Jane P ^a   Rusinek, Henry ^a   Naidich, David P ^a   McGuinness, Georgeann ^a   Rubinowitz, Ami N ^a   Leitman, Barry S ^a   Martino, Jennifer M ^a  

^a NONE

Author keywords

CT; Data compression Images; Lung; Nodule; Processing Images; Quality Lung

Indexed keywords

ACCURACY; ANALYTIC METHOD; AREA UNDER THE CURVE; ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; IMAGE PROCESSING; IMAGE QUALITY; INFORMATION PROCESSING; LOW DOSE COMPUTED TOMOGRAPHY; LUNG NODULE; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; REGRESSION ANALYSIS; STATISTICAL MODEL; TUMOR LOCALIZATION; TUMOR VOLUME; WAVELET IMAGE COMPRESSION;

EID: 0037700168     PISSN: 00338419     EISSN: None     Source Type: Journal    
DOI: 10.1148/radiol.2281020254     Document Type: Article

References (27)

1. Naidich DP, Rusinek H. Multislice lowdose CT for early lung cancer detection: current status and future applications. Electromedica 2000; 68:9-15.
2. Rubin GD. Data explosion: the challenge of multidetector-row CT. Eur J Radiol 2000; 36:74-80.
3. Erickson BJ. Irreversible compression of medical images. Great Falls, Va: Society for Computer Applications in Radiology, 2000.
4. Erickson BJ, Manduca A, Palisson P, et al. Wavelet compression of medical images. Radiology 1998; 206:599-607.
5. Skodras AN, Christopoulos CA, Ebrahimi T. JPEG2000: the upcoming still image compression standard. Pattern Recognition Letters 2001; 22:1337-1345.
6. Christopoulos C, Skodras A, Ebrahimi T. The JPEG2000 still image coding system: an overview. IEEE Trans Consumer Electronics 2000; 46:1103-1127.
7. Cosman PC, Davidson HC, Bergin CJ, et al. Thoracic CT images: effect of lossy image compression on diagnostic accuracy. Radiology 1994; 190:517-524.
8. Li F, Sone S, Takashima S, et al. Effects of JPEG and wavelet compression of spiral low-dose CT images on detection of small lung cancers. Acta Radiol 2001; 42:156-160.
9. Thorwarth WT, Beachley MC, Chapman JH, et al. ACR standard for teleradiology. Reston, Va: American College of Radiology, 1998.
10. Beachley MC, Applegate K, Bruzzese A, et al. ACR standard for digital image data management. Reston, Va: American College of Radiology, 2001.
11. Metz CE. ROC methodology in radiologic imaging. Invest Radiol 1986; 21:720-733.
12. Slone RM, Foos DH, Whiting BR, et al. Assessment of visually lossless irreversible image compression: comparison of three methods by using an image-comparison workstation. Radiology 2000; 215:543-553.
13. Erickson BJ, Manduca A, Persons KR, et al. Evaluation of irreversible compression of digitized posterior-anterior chest radiographs. J Digit imaging 1997; 10:97-102.
14. Savcenko V, Erickson BJ, Palisson PM, et al. Detection of subtle abnormalities on chest radiographs after irreversible compression. Radiology 1998; 206:609-616.
15. Benoit-Cattin H, Baskurt A, Prost R. 3D medical image coding using separable 3D wavelet decomposition and lattice vector quantization. Signal Processing 1997; 59:139-153.
16. Muraki S. Volume data and wavelet transforms. IEEE Comput Graph Applications 1993; 13:50-56.
17. Goldberg MA, Gazelle GS, Boland GW, et al. Focal hepatic lesions: effect of three-dimensional wavelet compression on de-tection at CT. Radiology 1997; 202:159-165.
18. Bae KT, Whiting BR. CT data storage reduction by means of compressing projection data instead of images: feasibility study. Radiology 2001; 219:850-855.
19. MacMahon H, Doi K, Sanada S, et al. Data compression: effect on diagnostic accuracy in digital chest radiography. Radiology 1991; 178:175-179.
20. Aberle DR, Gleeson F, Sayre JW, et al. The effect of irreversible image compression on diagnostic accuracy in thoracic imaging. Invest Radiol 1993; 28:398-403.
21. Cox GG, Cook LT, Insana MF, et al. The effects of lossy compression on the detection of subtle pulmonary nodules. Med Phys 1996; 23:127-132.
22. Ishigaki T, Sakuma S, Ikeda M, Itoh Y, Suzuki M, Iwai S. Clinical evaluation of irreversible image compression: analysis of chest imaging with computed radiography. Radiology 1990; 175:739-743.
23. Kido S, Ikezoe J, Kondoh H, et al. Detection of subtle interstitial abnormalities of the lungs on digitized chest radiographs: acceptable data compression ratios. AJR Am J Roentgenol 1996; 167:111-115.
24. Goldberg MA, Pivovarov M, Mayo-Smith WW, et al. Application of wavelet compression to digitized radiographs. AJR Am J Roentgenol 1994; 163:463-468.
25. Kalyanpur A, Neklesa VP, Taylor CR, Daftary AR, Brink JA. Evaluation of JPEG and wavelet compression of body CT images for direct digital teleradiologic transmission. Radiology 2000; 217:772-779.
26. Chan KK, Lou SL, Huang HK. Full-frame transform compression of CT and MR images. Radiology 1989; 171:847-851.
27. Rusinek H, Naidich DP, McGuinness G, et al. Pulmonary nodule detection: low-dose versus conventional CT. Radiology 1998; 209:243-249.