Metode line profile: pendekatan terhadap evaluasi kuantitatif citra Computed Radiography thoraks pada pasien pediatrik

Halimah Harfah, Lukmanda Evan Lubis, Kristina Tri Wigati, Djarwani Soeharso Soejoko


Tujuan dari penelitian ini adalah untuk menunjukkan fisibilitas metode line profile sebagai metode evaluasi kuantitatif citra computed radography thoraks pasien pediatrik. Sampel berupa 36 citra thoraks pediatrik yang terdiri dari 26 citra thoraks normal dan 10 citra thoraks abnormal, diperoleh dengan menggunakan sistem CR. Line profile dibuat dengan menggunakan perangkat lunak imageJ dan dikuantisasi menggunakan fortran 90. Setiap line profile diberi enam perlakuan (metode) yang berbeda, yakni tanpa modifikasi nilai piksel (metode I), modifikasi nilai piksel menjadi kontras region of interest (ROI) tulang (metode II), modifikasi nilai piksel menjadi kontras ROI thoraks (metode III), normalisasi rentang nilai piksel (metode IV), normalisasi rentang nilai piksel dan modifikasi kontras ROI tulang (metode V), serta normalisasi rentang nilai piksel dan modifikasi kontras ROI thoraks (metode VI). Verifikasi metode dilakukan dengan menggunakan coefficient of variation (CoV). Metode terbaik dipilih dan digunakan sebagai acuan line profile normal yang akan dibandingkan dengan line profile citra abnormal. Untuk membandingkan secara kuantitatif line profile normal dan abnormal, diskrepansi (δ) digunakan sebagai parameter. Hasil penelitian menunjukkan bahwa metode line profile dengan menggunakan normalisasi rentang nilai piksel adalah metode yang memiliki fisibilitas untuk membedakan citra normal dan abnormal. Dari metode ini, kelainan dengan δ terkecil adalah bronchitis dan δ terbesar adalah effusion. Penelitian lanjutan diperlukan untuk meningkatkan fisibilitas metode ini untuk kasus abnormalitas lain.

Full Text:



J.A. Seibert, R.L. Morin, “The standardized exposure index for digital radiography: an opportunity for optimization ofradiation dose to the pediatric population,” Pediatr Radiol. 41(5), 573-581 (2011).

C.M. Schaefer-Prokop, D.W. De Boo, M. Uffmann, and M. Prokop, “DR and CR: Recent advances in technology,” Eur J Radiol. 72, 194-201 (2009).

American Association of Physicists in Medicine, Acceptance testing and quality control of photostimulable storage phosphor imaging systems, AAPM Report No. 93, Report of AAPM Task Group 10, AAPM. (2006).

P. Charnock, P.A. Connolly, D. Hughes, and B.M. Moores, “Evaluation and testing of computed radiography systems,” Rad. Prot. Dosim. 114, 201-207 (2005).

J. A. Rowlands, “The physics of computed radiography,” Phys Med Biol. 47, R123-66 (2002).

W. Muhogora, R. Padovani, F. Bonutti, P. Msaki P, and R Kazema, “Performance evaluation of three computed radiography systems using methods recommended in American Association of Physicists in Medicine Report 93,” J. Med Phys. 36, 138-46 (2011).

C. Walsh, D. Gorman, P. Byrne, A. Larkin, A. Dowling, and M.F. Malone JF, “Quality assurance of computed and digital radiograpgfyyghuhy systems,” Rad. Prot. Dosim. 129, 271-27-5 (2008).

T.W. Freer, and M.J. Ulissey, “Screening mammography with computer-aided detection: prospective study of 12,860 patients in a community breast center,” Radiology. 220, 781-786 (2001).

D. Gur D, J.H. Sumkin, H.E. Rockette, M. Ganott M, C. Hakim, L. Hardesty, W.R. Poller, R. Shah, and L. Wallace, “Changes in breast cancer detection and mammography recall rate after the introduction of a computer-aided detection system,” J. Natl. Cancer. Inst. 96, 185-190 (2004).

R.L. Birdwell, P. Bandodkar, and D.M. Ikeda, “Computer-aided detection with screening mammography in a university hospital setting,” Radiology. 236, 451-457 (2005).

T.E. Cupples, J.E. Cunningham, and J.C. Reynolds, “Impact of computer-aided detection in a regional screening mammography program,” AJR. 185, 944-950 (2005).

M.J. Morton, D.H. Whaley, K.R. Brandt, and K.K. Amrami, “Screening mammograms: interpretation with computer-aided detection-prospective evaluation,” Radiology. 239, 375-383 (2006).

J.C. Dean, and C.C. Ilvento CC, “Improved cancer detection using computer-aided detection with diagnostic and screening mammography: prospective study of 104 cancers,” AJR. 187, 20-28 (2006).

S.V. Destounis, P. DiNitto, W. Logan-Young, E. Bonaccio, M.L. Zuley, and K.M. Willison, “Can computer-aided detection with double reading of screening mammograms help decrease the false-negative rate? Initial experience.” Radiology. 232, 578-584 (2004).

S.A. Butler, R.J. Gabbay, D.A. Kass, D.E. Siedler, K.F. O’Shaughnessy, and R.A. Castellino, “Computer-aided detection in diagnostic mammography: detection of clinically unsuspected cancers,” AJR. 183, 1511-1515 (2004).

R.M. Nishikawa, R.C. Haldemann, J. Papaioannou, M.L. Giger, P. Lu, R.A. Schmidt, D.E. Wolverton, U. Bick, and K. Doi,” Initial experience with a prototype clinical “intelligent” mammography workstation for computer-aided diagnosis,” Proc. SPIE. 2434, 65-71 (1995).

R.A. Schmidt, R.M. Nishikawa, R.B. Osnis, K. Schreibman, M.L. Giger, and K Doi, “Computerized detection of lesions missed by mammography. In: K Doi, M.L. Giger, R.M. Nishikawa, and R.A. Schmidt, editors,” Digital Mammography. Elsevier Science; Amsterdam. pp. 105-110 (1996).

L.J. Warren-Burhenne, S.A. Wood, C.J. D’Orsi, et al., “Potential contribution of computer-aided detection to the sensitivity of screening mammography,” Radiology. 215, 554-562 (2000).

M.L. Giger, Z. Huo, M.A. Kupinski, and C.J. Vyborny, “Computer-aided diagnosis in mammography. In: Fitzpatrick JM, Sonka M, editors,” The Handbook of Medical Imaging, volume 2 Medical Imaging Processing and Analysis. SPIE. pp. 915-1004 (2000).

M.L. GigerM “Computerized analysis of images in the detection and diagnosis of breast cancer,” Seminars in Ultrasound CT and MRI. 25, 411-418 (2004).

K. Doi, “Current status and future potential of computer-aided diagnosis in medical imaging,” Br. J. Radiol. 78 Spec No 1, S3-S19 (2005).

Da Ruan, Guoqing Chen, Etienne Kerre, G. Wets., ed., Intelligent Data Mining: Techniques and Applications. Studies in Computational Intelligence Vol. 5. Springer. p. 318. Berlin (2005).

Y.Y. Cheung, B. Jung, J.H. Sohn, and G. Ogrinc, “Quality initiatives: statistical control charts-simplifying the analysis of data for quality improvement,” RadioGraphics. 32(7), 2113-2126 (2012).

R. Arthur, “Interpretation of the paediatric chest X-ray,” Paediatr. Respir. Rev. 1, 41-50 (2000).


  • There are currently no refbacks.

©2017 (onwards) Aliansi Fisikawan Medik Indonesia / Indonesian Association of Physicists in Medicine

Print ISSN: 2355-2727 | Online ISSN: 2355-2719