Quantification of radiographic image quality based on patient anatomical contrast-to-noise ratio: A preliminary study with chest images

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 7627, Issue , 2010, Pages

  Lin, Yuan ^a   Wang, Xiaohui ^b   Sehnert, William J ^b   Foos, David H ^b   Barski, Lori ^b   Samei, Ehsan ^a  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b CARESTREAM HEALTH INC   (United States)

Author keywords

chest image; contrast to noise ratio; digital radiography; image quality assessment; Laplacian

Indexed keywords

CHEST IMAGE; CONTRAST TO NOISE RATIO; DIGITAL RADIOGRAPHY; IMAGE QUALITY ASSESSMENT; LAPLACIANS;

IMAGE QUALITY; LAPLACE TRANSFORMS; PROCESSING; RADIOGRAPHY; RADIOLOGY; RATING;

MEDICAL IMAGING;

EID: 79551702029     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.847033     Document Type: Conference Paper

References (13)

1. Samei E. Image quality in two phosphor-based flat panel digital radiographic detectors. Med. Phys. Volume 30, Issue 7, pp. 1747-1757.
2. Samei E and Flynn MJ. An experimental comparison of detector performance for direct and indirect digital radiography systems. Med. Phys. Volume 30, Issue 4, pp. 608-622.
3. Sandborg M, Dance DR, Persliden J, Carlsson GA. Monte Carlo program for the calculation of contrast, noise and absorbed dose in diagnostic radiology. Comp Meth Prog Biomed 1994;42: 167-80. (Pubitemid 24134794)
4. Tapiovaara MJ, Sandborg M. Evaluation of image quality in fluoroscopy by measurements and Monte Carlo calculations. Phys Med Biol 1995;40:589-607.
5. Sheikh HR. A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms. IEEE Trans Image Process. 2006 Nov;15(11):3440-51. (Pubitemid 44615139)
6. Couwenhoven ME, Senn RA and Foos DH. Enhancement method that provides direct and independent control of fundamental attributes of image quality for radiographic imagery. Medical Imaging 2004: Visualization, Image- Guided Procedures, and Display, Robert L. Galloway, Jr., Editors, pp.474-481.
7. Yakoumakis EN, Tierris CE, Stefanou EP, Phanourakis IG, and Proukakis CC. Image quality assessment and radiation doses in intraoral radiography. Oral and Maxillofacial Radiology Vol. 91 No. 3 March 2001.
8. Siegel MJ, Schmidt B, Bradley D, Suess C and Hildebolt C. Radiation Dose and Image Quality in Pediatric CT: Effect of Technical Factors and Phantom Size and Shape. Radiology 2004; 233:515-522. (Pubitemid 39423813)
9. Bushberg JT, Seibert JA, Leidholdt EM Jr., Boone JM. The Essential Physics of Medical Imaging (2nd Edition). 255-292.
10. Costaridou L, Sakellaropoulos P, Stefanoyiannis AP, Ungureanu E, Panayiotakis G, Quantifying image quality at breast periphery vs mammary gland in mammography using wavelet analysis. The British Journal of Radiology, 74 (2001), 913-919. (Pubitemid 33064635)
11. Kortesniemi M, Schenkel Y & Salli E. Automatic Image Quality Quantification and Mapping with an Edge- Preserving Mask-Filtering Algorithm. Acta Radiologica 2008, Vol. 49, No. 1, Pages 45-55.
12. Burt PJ and Adelson EH. "Fast filter transforms for image processing", IEEE Transactions on communications, Vol. Com-3l, NO. 4, April 1983.
13. Ning R and Tang X, "X-ray scatter correction algorithm for cone beam CT imaging", Med. Phys. Volume 31, Issue 5, pp. 1195-1202 (May 2004).