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Titolo:
Automatic segmentation of mammographic density
Autore:
Sivaramakrishna, R; Obuchowski, NA; Chilcote, WA; Powell, KA;
Indirizzi:
Cleveland Clin Fdn, Angnes Christine Roberts Breast Imaging Lab, Dept Biomed Engn, Lerner Res Inst, Cleveland, OH 44195 USA Cleveland Clin Fdn Cleveland OH USA 44195 s Inst, Cleveland, OH 44195 USA Cleveland Clin Fdn, Dept Biostat & Epidemiol, Cleveland, OH 44195 USA Cleveland Clin Fdn Cleveland OH USA 44195 demiol, Cleveland, OH 44195 USA Cleveland Clin Fdn, Div Radiol, Cleveland, OH 44195 USA Cleveland Clin Fdn Cleveland OH USA 44195 Radiol, Cleveland, OH 44195 USA
Titolo Testata:
ACADEMIC RADIOLOGY
fascicolo: 3, volume: 8, anno: 2001,
pagine: 250 - 256
SICI:
1076-6332(200103)8:3<250:ASOMD>2.0.ZU;2-B
Fonte:
ISI
Lingua:
ENG
Soggetto:
BREAST-CANCER RISK; QUANTITATIVE-ANALYSIS; DIGITIZED MAMMOGRAMS; CLASSIFICATION; FEATURES;
Keywords:
breast cancer; breast density; Kittler's optimal threshold;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Clinical Medicine
Citazioni:
19
Recensione:
Indirizzi per estratti:
Indirizzo: Sivaramakrishna, R Cleveland Clin Fdn, Angnes Christine Roberts Breast Imaging Lab, Dept Biomed Engn, Lerner Res Inst, 9500 Euclid Ave, Cleveland, OH44195 USA Cleveland Clin Fdn 9500 Euclid Ave Cleveland OH USA 44195
Citazione:
R. Sivaramakrishna et al., "Automatic segmentation of mammographic density", ACAD RADIOL, 8(3), 2001, pp. 250-256

Abstract

Rationale and Objectives. The purpose of this study was to evaluate a completely automatic method, based on Kittler's optimal threshold, to estimate breast density by using the mammographers' definition. Materials and Methods. Thirty-two normal, right-craniocaudal-view mammograms of women aged 37-86 years were digitized. The whole breast area was segmented by using Kittler's optimal threshold procedure, and the dense portions were then segmented by using a modified version of Kittler's method. Segmentation results were validated by three independent mammographers who provided a signed percentage tin steps of 5%) to indicate the difference between their own visual estimation of the dense portions and the results obtained with the algorithm. The difference between the algorithm measurements andthe mammographers' measurements was compared to the interobserver differences. Results. A high correlation was found between the algorithm measured density and the mammographers' measurements. Spearman correlations ranged from 0.92 to 0.95 (P < .001). Algorithm-measured density differed from the mammographers' measurements by an average of 6.9% tie. average of the absolute differences). In contrast, mammographers' measurements differed between themselves by an average of 5.4%. Conclusion. The difference between density as measured with the algorithm and as measured by the mammographers is similar to the differences observedbetween mammographers. This algorithm could be useful in providing clinically accurate estimates of breast density.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/09/20 alle ore 03:31:27