Fuzzy rule based approach to segment the menisci region from MR images

被引：18

作者：

Sasaki, T ^{[1
]}

Hata, Y ^{[1
]}

Ando, Y ^{[1
]}

Ishikawa, M ^{[1
]}

Ishikawa, H ^{[1
]}

机构：

[1] Himeji Inst Technol, Himeji, Hyogo 6712201, Japan

来源：

MEDICAL IMAGING 1999: IMAGE PROCESSING, PTS 1 AND 2 | 1999年 / 3661卷

关键词：

menisci; fuzzy if-then rules; segmentation;

D O I：

10.1117/12.348580

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Injuries of the menisci are one of the most common internal derangement of the knee. To examine them with noninvasive, we propose an automated segmentation method of the menisci region from MR image. The method is composed of two steps based on fuzzy logic. First, we segment the cartilage region by thresholding of the intensity. We then extract the candidate region of the menisci as the region between the cartilages. Second, we segment the menisci voxels from the candidate region based on fuzzy if-then rules obtained from knowledge of location and intensity. We applied our method to five MR data sets. Three of them are the normal knees and the others are with some injures. Quantitative evaluation by a physician shows that this method can successfully segment the menisci for the all. The generated visualizations will help medical doctor to diagnose the menisci with noninvasive.

引用

页码：258 / 265

页数：8

共 15 条

[1]

BLOCH I, 1994, IEEE IMAGE PROC, P628, DOI 10.1109/ICIP.1994.413390

[2] Deformable boundary finding in medical images by integrating gradient and region information [J].

Chakraborty, A ;

Staib, LH ;

Duncan, JS .

IEEE TRANSACTIONS ON MEDICAL IMAGING, 1996, 15 (06) :859-870

[3] SIGNAL, CONTRAST, AND RESOLUTION IN OPTIMIZED PD-WEIGTED AND T2-WEIGHTED TURBO SE IMAGES OF THE KNEE [J].

FELLNER, C ;

GEISSLER, A ;

HELD, P ;

STROTZER, M ;

TREIBEL, W ;

FELLNER, F .

JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 1995, 19 (01) :96-105

[4]

Hata Y, 1998, IEEE SYS MAN CYBERN, P4098, DOI 10.1109/ICSMC.1998.726731

[5] Medical image granulation by fuzzy inference [J].

Hata, Y ;

Hirano, S ;

Kamiura, N .

1998 CONFERENCE OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY - NAFIPS, 1998, :188-192

[6]

Hata Y, 1997, LECT NOTES COMPUT SC, V1230, P387

[7]

HIRANO S, 1998, J JAPAN SOC FUZZY TH, V10, P937

[8]

Kandel A., 1992, FUZZY EXPERT SYSTEMS

[9]

KAPOULEAS I, 1990, INT C PATTERN RECOGN, P583

[10]

KOBASHI S, 1998, J JAPAN SOC FUZZY TH, V10

← 1 2 →