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Titolo:
Computer-aided diagnosis system for comparative reading of helical CT images for the detection of lung cancer
Autore:
Satoh, H; Ukai, Y; Niki, N; Eguchi, K; Mori, K; Ohmatsu, H; Kakinuma, R; Kaneko, M; Moriyama, N;
Indirizzi:
Toshiba Corp, Med Syst Co, Otawara 3248550, Japan Toshiba Corp Otawara Japan 3248550 , Med Syst Co, Otawara 3248550, Japan Univ Tokushima, Dept Opt Sci & Technol, Tokushima 7708506, Japan Univ Tokushima Tokushima Japan 7708506 Technol, Tokushima 7708506, Japan Natl Shikoku Canc Ctr Hosp, Matsuyama, Ehime 7900007, Japan Natl Shikoku Canc Ctr Hosp Matsuyama Ehime Japan 7900007 e 7900007, Japan Tochigi Canc Ctr Hosp, Utsunomiya, Tochigi 3200834, Japan Tochigi Canc CtrHosp Utsunomiya Tochigi Japan 3200834 igi 3200834, Japan Natl Canc Ctr Hosp E, Kashiwa, Chiba 2778577, Japan Natl Canc Ctr Hosp E Kashiwa Chiba Japan 2778577 wa, Chiba 2778577, Japan Natl Canc Ctr Hosp, Tokyo 1040045, Japan Natl Canc Ctr Hosp Tokyo Japan 1040045 nc Ctr Hosp, Tokyo 1040045, Japan
Titolo Testata:
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
fascicolo: 1, volume: E84D, anno: 2001,
pagine: 161 - 170
SICI:
0916-8532(200101)E84D:1<161:CDSFCR>2.0.ZU;2-S
Fonte:
ISI
Lingua:
ENG
Keywords:
helical CT screening; computer-aided diagnosis; lung; comparative reading; slice matching algorithm;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
Citazioni:
10
Recensione:
Indirizzi per estratti:
Indirizzo: Satoh, H Toshiba Corp, Med Syst Co, Otawara 3248550, Japan Toshiba Corp Otawara Japan 3248550 t Co, Otawara 3248550, Japan
Citazione:
H. Satoh et al., "Computer-aided diagnosis system for comparative reading of helical CT images for the detection of lung cancer", IEICE T INF, E84D(1), 2001, pp. 161-170

Abstract

In this paper, we present a computer-aided diagnosis (CAD) system to automatically detect lung cancer candidates at an early stage using a present and a past helical CT screening. We have developed a slice matching algorithmthat can automatically match the slice images of a past CT scan to those of a present CT scan in order to detect changes in the lung fields over time. The: slice matching algorithm consists of two main process: the process of extraction of the lungs, heart, and descending aorta and the process of matching slices of the present and past CT images using the information of the lungs, heart, and descending aorta. To evaluate the performance of this algorithm, we applied it to 50 subjects (total of 150 scans) screened between 1993 acid 1998. From these scans, we selected 100 pairs for evaluation (each pair consisted of scans fur the same subject). The algorithm correctlymatched 88 out of the 100 pairs. The slice images for the present and pastCT scans are displayed in parallel on the CRT monitor. Feature measurements: of the suspicious regions are shown on the relevant images to facilitateidentification of changes in size, shape, and intensity. The experimental results indicate that the CAD system can he effectively used in clinical practice to increase the speed and accuracy of routine diagnosis.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/01/20 alle ore 04:44:19