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Titolo:
Improving the detection of simulated masses in mammograms through two different image-processing techniques
Autore:
Hemminger, BM; Zong, SQ; Muller, KE; Coffey, CS; DeLuca, MC; Johnston, RE; Pisano, ED;
Indirizzi:
Univ N Carolina, Dept Radiol, Chapel Hill, NC 27599 USA Univ N Carolina Chapel Hill NC USA 27599 adiol, Chapel Hill, NC 27599 USA Univ N Carolina, Dept Biomed Engn, Chapel Hill, NC 27599 USA Univ N Carolina Chapel Hill NC USA 27599 Engn, Chapel Hill, NC 27599 USA Univ N Carolina, Dept Biostat, Chapel Hill, NC 27599 USA Univ N Carolina Chapel Hill NC USA 27599 ostat, Chapel Hill, NC 27599 USA Univ N Carolina, Lineberger Comprehens Canc Ctr, Chapel Hill, NC 27599 USAUniv N Carolina Chapel Hill NC USA 27599 c Ctr, Chapel Hill, NC 27599 USA Vanderbilt Univ, Div Biostat, Dept Prevent Med, Nashville, TN USA Vanderbilt Univ Nashville TN USA at, Dept Prevent Med, Nashville, TN USA
Titolo Testata:
ACADEMIC RADIOLOGY
fascicolo: 9, volume: 8, anno: 2001,
pagine: 845 - 855
SICI:
1076-6332(200109)8:9<845:ITDOSM>2.0.ZU;2-4
Fonte:
ISI
Lingua:
ENG
Soggetto:
COMPUTERIZED DETECTION; BILATERAL-SUBTRACTION; DIGITAL MAMMOGRAPHY; DISPLAY; MICROCALCIFICATIONS; FILM; ENHANCEMENT;
Keywords:
breast neoplasms, diagnosis; breast radiography; diagnostic radiology, observer performance; images, processing;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
26
Recensione:
Indirizzi per estratti:
Indirizzo: Hemminger, BM Univ N Carolina, Dept Radiol, CB 7510, Chapel Hill, NC 27599USA Univ N Carolina CB 7510 Chapel Hill NC USA 27599 C 27599 USA
Citazione:
B.M. Hemminger et al., "Improving the detection of simulated masses in mammograms through two different image-processing techniques", ACAD RADIOL, 8(9), 2001, pp. 845-855

Abstract

Rationale and Objectives. The purpose of this study was to determine whether contrast-limited adaptive histogram equalization (CLAHE) or histogram-based intensity windowing (HIW) improves the detection of simulated masses indense mammograms. Materials and Methods. Simulated masses were embedded in portions of mammograms of patients with dense breasts; the mammograms were digitized at 50 mum per pixel, 12 bits deep. In two different experiments, images were printed both with no processing applied and with related parameter settings of two image-processing methods. A simulated mass was embedded in a realistic background of dense breast tissue, with its position varied. The key variables in each trial included the position of the mass, the contrast levels of the mass relative to the background, and the selected parameter settings for the image-processing method. Results. The success in detecting simulated masses on mammograms with dense backgrounds depended on the parameter settings of the algorithms used. The best HIW setting performed better than the best fixed-intensity window setting and better than no processing. Performance with the best CLAHE settings was no different from that with no processing. In the HIW experiment, there were no significant differences in observer performance between processing conditions for radiologists and nonradiologists. Conclusion. HIW should be tested in clinical images to determine whether the detection of masses by radiologists can be improved. CLAHE processing will probably not improve the detection of masses on clinical mammograms.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 11/07/20 alle ore 03:31:22